ANet_high | | | 99.57 8 | 99.67 6 | 99.28 73 | 99.89 7 | 98.09 111 | 99.14 41 | 99.93 1 | 99.82 3 | 99.93 2 | 99.81 4 | 99.17 13 | 99.94 21 | 99.31 17 | 100.00 1 | 99.82 8 |
|
LCM-MVSNet | | | 99.93 1 | 99.92 1 | 99.94 1 | 99.99 1 | 99.97 1 | 99.90 1 | 99.89 2 | 99.98 1 | 99.99 1 | 99.96 1 | 99.77 1 | 100.00 1 | 99.81 1 | 100.00 1 | 99.85 7 |
|
LCM-MVSNet-Re | | | 98.64 86 | 98.48 89 | 99.11 95 | 98.85 206 | 98.51 86 | 98.49 90 | 99.83 3 | 98.37 97 | 99.69 18 | 99.46 41 | 98.21 55 | 99.92 31 | 94.13 254 | 99.30 207 | 98.91 233 |
|
Vis-MVSNet | | | 99.34 23 | 99.36 17 | 99.27 76 | 99.73 24 | 98.26 97 | 99.17 38 | 99.78 4 | 99.11 54 | 99.27 69 | 99.48 39 | 98.82 21 | 99.95 13 | 98.94 34 | 99.93 25 | 99.59 51 |
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020 |
LTVRE_ROB | | 98.40 1 | 99.67 4 | 99.71 3 | 99.56 23 | 99.85 14 | 99.11 49 | 99.90 1 | 99.78 4 | 99.63 14 | 99.78 11 | 99.67 17 | 99.48 7 | 99.81 144 | 99.30 18 | 99.97 12 | 99.77 15 |
Andreas Kuhn, Heiko Hirschmüller, Daniel Scharstein, Helmut Mayer: A TV Prior for High-Quality Scalable Multi-View Stereo Reconstruction. International Journal of Computer Vision 2016 |
pmmvs6 | | | 99.67 4 | 99.70 4 | 99.60 13 | 99.90 5 | 99.27 17 | 99.53 8 | 99.76 6 | 99.64 12 | 99.84 9 | 99.83 3 | 99.50 6 | 99.87 75 | 99.36 15 | 99.92 34 | 99.64 36 |
|
Gipuma | | | 99.03 35 | 99.16 30 | 98.64 158 | 99.94 2 | 98.51 86 | 99.32 16 | 99.75 7 | 99.58 22 | 98.60 162 | 99.62 22 | 98.22 53 | 99.51 281 | 97.70 99 | 99.73 100 | 97.89 284 |
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015 |
UA-Net | | | 99.47 12 | 99.40 15 | 99.70 2 | 99.49 83 | 99.29 14 | 99.80 3 | 99.72 8 | 99.82 3 | 99.04 104 | 99.81 4 | 98.05 65 | 99.96 8 | 98.85 38 | 99.99 5 | 99.86 6 |
|
Patchmatch-RL test | | | 97.26 207 | 97.02 206 | 97.99 219 | 99.52 71 | 95.53 226 | 96.13 265 | 99.71 9 | 97.47 157 | 99.27 69 | 99.16 85 | 84.30 303 | 99.62 246 | 97.89 85 | 99.77 85 | 98.81 242 |
|
mvs_tets | | | 99.63 6 | 99.67 6 | 99.49 46 | 99.88 8 | 98.61 76 | 99.34 14 | 99.71 9 | 99.27 41 | 99.90 4 | 99.74 9 | 99.68 2 | 99.97 3 | 99.55 9 | 99.99 5 | 99.88 3 |
|
TDRefinement | | | 99.42 17 | 99.38 16 | 99.55 25 | 99.76 22 | 99.33 12 | 99.68 6 | 99.71 9 | 99.38 33 | 99.53 30 | 99.61 24 | 98.64 28 | 99.80 153 | 98.24 68 | 99.84 54 | 99.52 88 |
|
anonymousdsp | | | 99.51 11 | 99.47 13 | 99.62 6 | 99.88 8 | 99.08 53 | 99.34 14 | 99.69 12 | 98.93 75 | 99.65 21 | 99.72 12 | 98.93 19 | 99.95 13 | 99.11 26 | 100.00 1 | 99.82 8 |
|
Effi-MVS+ | | | 98.02 151 | 97.82 161 | 98.62 162 | 98.53 258 | 97.19 182 | 97.33 196 | 99.68 13 | 97.30 178 | 96.68 269 | 97.46 274 | 98.56 33 | 99.80 153 | 96.63 160 | 98.20 280 | 98.86 238 |
|
PM-MVS | | | 98.82 58 | 98.72 58 | 99.12 93 | 99.64 46 | 98.54 84 | 97.98 136 | 99.68 13 | 97.62 143 | 99.34 58 | 99.18 79 | 97.54 97 | 99.77 182 | 97.79 91 | 99.74 97 | 99.04 213 |
|
PVSNet_Blended_VisFu | | | 98.17 144 | 98.15 134 | 98.22 204 | 99.73 24 | 95.15 238 | 97.36 195 | 99.68 13 | 94.45 262 | 98.99 111 | 99.27 66 | 96.87 138 | 99.94 21 | 97.13 126 | 99.91 39 | 99.57 62 |
|
test_normal | | | 99.74 2 | 99.80 2 | 99.57 18 | 99.92 3 | 99.13 44 | 99.80 3 | 99.66 16 | 99.78 5 | 99.88 7 | 99.88 2 | 99.64 3 | 99.82 132 | 99.66 4 | 99.99 5 | 99.77 15 |
|
jajsoiax | | | 99.58 7 | 99.61 8 | 99.48 47 | 99.87 11 | 98.61 76 | 99.28 28 | 99.66 16 | 99.09 61 | 99.89 6 | 99.68 15 | 99.53 5 | 99.97 3 | 99.50 11 | 99.99 5 | 99.87 4 |
|
PS-MVSNAJss | | | 99.46 13 | 99.49 11 | 99.35 65 | 99.90 5 | 98.15 107 | 99.20 33 | 99.65 18 | 99.48 24 | 99.92 3 | 99.71 13 | 98.07 62 | 99.96 8 | 99.53 10 | 100.00 1 | 99.93 1 |
|
pm-mvs1 | | | 99.44 14 | 99.48 12 | 99.33 70 | 99.80 18 | 98.63 73 | 99.29 24 | 99.63 19 | 99.30 39 | 99.65 21 | 99.60 26 | 99.16 15 | 99.82 132 | 99.07 28 | 99.83 60 | 99.56 67 |
|
CHOSEN 1792x2688 | | | 97.49 192 | 97.14 204 | 98.54 176 | 99.68 39 | 96.09 214 | 96.50 247 | 99.62 20 | 91.58 298 | 98.84 138 | 98.97 125 | 92.36 258 | 99.88 61 | 96.76 149 | 99.95 16 | 99.67 32 |
|
XXY-MVS | | | 99.14 32 | 99.15 32 | 99.10 97 | 99.76 22 | 97.74 153 | 98.85 63 | 99.62 20 | 98.48 95 | 99.37 53 | 99.49 38 | 98.75 24 | 99.86 80 | 98.20 71 | 99.80 72 | 99.71 25 |
|
CS-MVS | | | 97.82 174 | 97.59 179 | 98.52 177 | 98.76 220 | 98.04 121 | 98.20 111 | 99.61 22 | 97.10 195 | 96.02 292 | 94.87 322 | 98.27 47 | 99.84 106 | 96.31 182 | 99.17 228 | 97.69 298 |
|
v7n | | | 99.53 9 | 99.57 9 | 99.41 56 | 99.88 8 | 98.54 84 | 99.45 10 | 99.61 22 | 99.66 11 | 99.68 20 | 99.66 18 | 98.44 39 | 99.95 13 | 99.73 2 | 99.96 15 | 99.75 22 |
|
ETV-MVS | | | 98.00 153 | 97.74 165 | 98.80 140 | 98.72 226 | 98.09 111 | 98.05 126 | 99.60 24 | 97.39 169 | 96.63 271 | 95.55 309 | 97.68 84 | 99.80 153 | 96.73 152 | 99.27 211 | 98.52 262 |
|
EG-PatchMatch MVS | | | 98.99 38 | 99.01 38 | 98.94 122 | 99.50 76 | 97.47 166 | 98.04 128 | 99.59 25 | 98.15 118 | 99.40 49 | 99.36 56 | 98.58 32 | 99.76 187 | 98.78 41 | 99.68 125 | 99.59 51 |
|
MIMVSNet1 | | | 99.38 21 | 99.32 22 | 99.55 25 | 99.86 12 | 99.19 30 | 99.41 11 | 99.59 25 | 99.59 20 | 99.71 15 | 99.57 28 | 97.12 124 | 99.90 44 | 99.21 22 | 99.87 50 | 99.54 78 |
|
UniMVSNet_ETH3D | | | 99.69 3 | 99.69 5 | 99.69 3 | 99.84 15 | 99.34 11 | 99.69 5 | 99.58 27 | 99.90 2 | 99.86 8 | 99.78 6 | 99.58 4 | 99.95 13 | 99.00 32 | 99.95 16 | 99.78 13 |
|
AllTest | | | 98.44 115 | 98.20 125 | 99.16 88 | 99.50 76 | 98.55 81 | 98.25 106 | 99.58 27 | 96.80 204 | 98.88 132 | 99.06 99 | 97.65 87 | 99.57 262 | 94.45 241 | 99.61 148 | 99.37 144 |
|
TestCases | | | | | 99.16 88 | 99.50 76 | 98.55 81 | | 99.58 27 | 96.80 204 | 98.88 132 | 99.06 99 | 97.65 87 | 99.57 262 | 94.45 241 | 99.61 148 | 99.37 144 |
|
diffmvs | | | 98.22 138 | 98.24 122 | 98.17 207 | 99.00 176 | 95.44 230 | 96.38 254 | 99.58 27 | 97.79 134 | 98.53 171 | 98.50 205 | 96.76 149 | 99.74 198 | 97.95 84 | 99.64 139 | 99.34 157 |
|
OurMVSNet-221017-0 | | | 99.37 22 | 99.31 23 | 99.53 34 | 99.91 4 | 98.98 54 | 99.63 7 | 99.58 27 | 99.44 29 | 99.78 11 | 99.76 7 | 96.39 166 | 99.92 31 | 99.44 14 | 99.92 34 | 99.68 30 |
|
1112_ss | | | 97.29 206 | 96.86 214 | 98.58 166 | 99.34 112 | 96.32 208 | 96.75 236 | 99.58 27 | 93.14 281 | 96.89 262 | 97.48 272 | 92.11 261 | 99.86 80 | 96.91 136 | 99.54 169 | 99.57 62 |
|
ACMH+ | | 96.62 9 | 99.08 34 | 99.00 39 | 99.33 70 | 99.71 30 | 98.83 62 | 98.60 75 | 99.58 27 | 99.11 54 | 99.53 30 | 99.18 79 | 98.81 22 | 99.67 228 | 96.71 155 | 99.77 85 | 99.50 96 |
|
FC-MVSNet-test | | | 99.27 26 | 99.25 26 | 99.34 68 | 99.77 21 | 98.37 94 | 99.30 23 | 99.57 34 | 99.61 19 | 99.40 49 | 99.50 35 | 97.12 124 | 99.85 90 | 99.02 31 | 99.94 20 | 99.80 11 |
|
casdiffmvs | | | 98.95 46 | 99.00 39 | 98.81 138 | 99.38 103 | 97.33 172 | 97.82 152 | 99.57 34 | 99.17 51 | 99.35 56 | 99.17 83 | 98.35 44 | 99.69 218 | 98.46 59 | 99.73 100 | 99.41 130 |
|
TransMVSNet (Re) | | | 99.44 14 | 99.47 13 | 99.36 60 | 99.80 18 | 98.58 79 | 99.27 30 | 99.57 34 | 99.39 32 | 99.75 13 | 99.62 22 | 99.17 13 | 99.83 121 | 99.06 29 | 99.62 144 | 99.66 33 |
|
Baseline_NR-MVSNet | | | 98.98 42 | 98.86 45 | 99.36 60 | 99.82 17 | 98.55 81 | 97.47 191 | 99.57 34 | 99.37 34 | 99.21 79 | 99.61 24 | 96.76 149 | 99.83 121 | 98.06 77 | 99.83 60 | 99.71 25 |
|
door-mid | | | | | | | | | 99.57 34 | | | | | | | | |
|
RPSCF | | | 98.62 90 | 98.36 109 | 99.42 53 | 99.65 43 | 99.42 4 | 98.55 81 | 99.57 34 | 97.72 137 | 98.90 126 | 99.26 68 | 96.12 174 | 99.52 277 | 95.72 211 | 99.71 110 | 99.32 165 |
|
CSCG | | | 98.68 81 | 98.50 85 | 99.20 84 | 99.45 94 | 98.63 73 | 98.56 80 | 99.57 34 | 97.87 129 | 98.85 136 | 98.04 242 | 97.66 86 | 99.84 106 | 96.72 153 | 99.81 67 | 99.13 205 |
|
MVSFormer | | | 98.26 134 | 98.43 99 | 97.77 227 | 98.88 202 | 93.89 270 | 99.39 12 | 99.56 41 | 99.11 54 | 98.16 191 | 98.13 232 | 93.81 239 | 99.97 3 | 99.26 19 | 99.57 161 | 99.43 125 |
|
test_djsdf | | | 99.52 10 | 99.51 10 | 99.53 34 | 99.86 12 | 98.74 66 | 99.39 12 | 99.56 41 | 99.11 54 | 99.70 16 | 99.73 11 | 99.00 16 | 99.97 3 | 99.26 19 | 99.98 10 | 99.89 2 |
|
COLMAP_ROB | | 96.50 10 | 98.99 38 | 98.85 46 | 99.41 56 | 99.58 50 | 99.10 50 | 98.74 66 | 99.56 41 | 99.09 61 | 99.33 59 | 99.19 77 | 98.40 41 | 99.72 211 | 95.98 198 | 99.76 94 | 99.42 128 |
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016 |
v10 | | | 98.97 43 | 99.11 33 | 98.55 173 | 99.44 96 | 96.21 211 | 98.90 58 | 99.55 44 | 98.73 83 | 99.48 37 | 99.60 26 | 96.63 156 | 99.83 121 | 99.70 3 | 99.99 5 | 99.61 44 |
|
WR-MVS_H | | | 99.33 24 | 99.22 28 | 99.65 5 | 99.71 30 | 99.24 20 | 99.32 16 | 99.55 44 | 99.46 27 | 99.50 36 | 99.34 59 | 97.30 113 | 99.93 25 | 98.90 35 | 99.93 25 | 99.77 15 |
|
114514_t | | | 96.50 244 | 95.77 248 | 98.69 155 | 99.48 88 | 97.43 169 | 97.84 150 | 99.55 44 | 81.42 329 | 96.51 277 | 98.58 197 | 95.53 197 | 99.67 228 | 93.41 274 | 99.58 157 | 98.98 220 |
|
ACMH | | 96.65 7 | 99.25 28 | 99.24 27 | 99.26 78 | 99.72 29 | 98.38 93 | 99.07 46 | 99.55 44 | 98.30 102 | 99.65 21 | 99.45 45 | 99.22 10 | 99.76 187 | 98.44 60 | 99.77 85 | 99.64 36 |
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
PEN-MVS | | | 99.41 18 | 99.34 20 | 99.62 6 | 99.73 24 | 99.14 41 | 99.29 24 | 99.54 48 | 99.62 17 | 99.56 25 | 99.42 48 | 98.16 58 | 99.96 8 | 98.78 41 | 99.93 25 | 99.77 15 |
|
PS-CasMVS | | | 99.40 19 | 99.33 21 | 99.62 6 | 99.71 30 | 99.10 50 | 99.29 24 | 99.53 49 | 99.53 23 | 99.46 40 | 99.41 50 | 98.23 50 | 99.95 13 | 98.89 37 | 99.95 16 | 99.81 10 |
|
Test_1112_low_res | | | 96.99 225 | 96.55 232 | 98.31 198 | 99.35 110 | 95.47 229 | 95.84 280 | 99.53 49 | 91.51 300 | 96.80 267 | 98.48 210 | 91.36 264 | 99.83 121 | 96.58 162 | 99.53 173 | 99.62 40 |
|
USDC | | | 97.41 198 | 97.40 188 | 97.44 249 | 98.94 186 | 93.67 276 | 95.17 300 | 99.53 49 | 94.03 271 | 98.97 116 | 99.10 96 | 95.29 205 | 99.34 302 | 95.84 207 | 99.73 100 | 99.30 172 |
|
FIs | | | 99.14 32 | 99.09 34 | 99.29 72 | 99.70 36 | 98.28 96 | 99.13 42 | 99.52 52 | 99.48 24 | 99.24 75 | 99.41 50 | 96.79 145 | 99.82 132 | 98.69 48 | 99.88 47 | 99.76 20 |
|
Anonymous20231211 | | | 99.27 26 | 99.27 25 | 99.26 78 | 99.29 116 | 98.18 105 | 99.49 9 | 99.51 53 | 99.70 8 | 99.80 10 | 99.68 15 | 96.84 139 | 99.83 121 | 99.21 22 | 99.91 39 | 99.77 15 |
|
DTE-MVSNet | | | 99.43 16 | 99.35 18 | 99.66 4 | 99.71 30 | 99.30 13 | 99.31 19 | 99.51 53 | 99.64 12 | 99.56 25 | 99.46 41 | 98.23 50 | 99.97 3 | 98.78 41 | 99.93 25 | 99.72 24 |
|
EIA-MVS | | | 98.03 150 | 97.86 159 | 98.56 172 | 98.69 236 | 98.07 117 | 97.51 187 | 99.50 55 | 98.10 119 | 97.50 235 | 95.51 310 | 98.41 40 | 99.88 61 | 96.27 184 | 99.24 216 | 97.71 297 |
|
Fast-Effi-MVS+-dtu | | | 98.27 132 | 98.09 139 | 98.81 138 | 98.43 265 | 98.11 110 | 97.61 174 | 99.50 55 | 98.64 85 | 97.39 243 | 97.52 269 | 98.12 61 | 99.95 13 | 96.90 139 | 98.71 264 | 98.38 270 |
|
abl_6 | | | 98.99 38 | 98.78 52 | 99.61 9 | 99.45 94 | 99.46 3 | 98.60 75 | 99.50 55 | 98.59 89 | 99.24 75 | 99.04 108 | 98.54 34 | 99.89 53 | 96.45 175 | 99.62 144 | 99.50 96 |
|
HPM-MVS_fast | | | 99.01 36 | 98.82 48 | 99.57 18 | 99.71 30 | 99.35 8 | 99.00 51 | 99.50 55 | 97.33 174 | 98.94 123 | 98.86 147 | 98.75 24 | 99.82 132 | 97.53 105 | 99.71 110 | 99.56 67 |
|
XVG-OURS | | | 98.53 107 | 98.34 112 | 99.11 95 | 99.50 76 | 98.82 64 | 95.97 269 | 99.50 55 | 97.30 178 | 99.05 102 | 98.98 123 | 99.35 8 | 99.32 305 | 95.72 211 | 99.68 125 | 99.18 197 |
|
baseline | | | 98.96 45 | 99.02 37 | 98.76 148 | 99.38 103 | 97.26 176 | 98.49 90 | 99.50 55 | 98.86 78 | 99.19 81 | 99.06 99 | 98.23 50 | 99.69 218 | 98.71 47 | 99.76 94 | 99.33 163 |
|
FMVSNet5 | | | 96.01 253 | 95.20 265 | 98.41 189 | 97.53 304 | 96.10 212 | 98.74 66 | 99.50 55 | 97.22 190 | 98.03 202 | 99.04 108 | 69.80 335 | 99.88 61 | 97.27 117 | 99.71 110 | 99.25 181 |
|
HyFIR lowres test | | | 97.19 213 | 96.60 230 | 98.96 119 | 99.62 49 | 97.28 175 | 95.17 300 | 99.50 55 | 94.21 268 | 99.01 108 | 98.32 222 | 86.61 283 | 99.99 2 | 97.10 128 | 99.84 54 | 99.60 45 |
|
testgi | | | 98.32 126 | 98.39 105 | 98.13 208 | 99.57 54 | 95.54 225 | 97.78 154 | 99.49 63 | 97.37 171 | 99.19 81 | 97.65 261 | 98.96 18 | 99.49 283 | 96.50 172 | 98.99 250 | 99.34 157 |
|
PGM-MVS | | | 98.66 83 | 98.37 108 | 99.55 25 | 99.53 69 | 99.18 31 | 98.23 107 | 99.49 63 | 97.01 197 | 98.69 152 | 98.88 144 | 98.00 68 | 99.89 53 | 95.87 204 | 99.59 151 | 99.58 57 |
|
new-patchmatchnet | | | 98.35 124 | 98.74 55 | 97.18 257 | 99.24 123 | 92.23 292 | 96.42 252 | 99.48 65 | 98.30 102 | 99.69 18 | 99.53 33 | 97.44 107 | 99.82 132 | 98.84 40 | 99.77 85 | 99.49 100 |
|
nrg030 | | | 99.40 19 | 99.35 18 | 99.54 28 | 99.58 50 | 99.13 44 | 98.98 54 | 99.48 65 | 99.68 9 | 99.46 40 | 99.26 68 | 98.62 29 | 99.73 203 | 99.17 25 | 99.92 34 | 99.76 20 |
|
APDe-MVS | | | 98.99 38 | 98.79 51 | 99.60 13 | 99.21 130 | 99.15 39 | 98.87 60 | 99.48 65 | 97.57 148 | 99.35 56 | 99.24 71 | 97.83 77 | 99.89 53 | 97.88 88 | 99.70 114 | 99.75 22 |
|
XVG-OURS-SEG-HR | | | 98.49 110 | 98.28 119 | 99.14 91 | 99.49 83 | 98.83 62 | 96.54 245 | 99.48 65 | 97.32 176 | 99.11 89 | 98.61 194 | 99.33 9 | 99.30 308 | 96.23 185 | 98.38 275 | 99.28 176 |
|
LPG-MVS_test | | | 98.71 73 | 98.46 93 | 99.47 50 | 99.57 54 | 98.97 55 | 98.23 107 | 99.48 65 | 96.60 212 | 99.10 92 | 99.06 99 | 98.71 26 | 99.83 121 | 95.58 218 | 99.78 81 | 99.62 40 |
|
LGP-MVS_train | | | | | 99.47 50 | 99.57 54 | 98.97 55 | | 99.48 65 | 96.60 212 | 99.10 92 | 99.06 99 | 98.71 26 | 99.83 121 | 95.58 218 | 99.78 81 | 99.62 40 |
|
v8 | | | 99.01 36 | 99.16 30 | 98.57 168 | 99.47 90 | 96.31 209 | 98.90 58 | 99.47 71 | 99.03 64 | 99.52 32 | 99.57 28 | 96.93 135 | 99.81 144 | 99.60 5 | 99.98 10 | 99.60 45 |
|
LF4IMVS | | | 97.90 158 | 97.69 168 | 98.52 177 | 99.17 142 | 97.66 157 | 97.19 210 | 99.47 71 | 96.31 222 | 97.85 209 | 98.20 231 | 96.71 153 | 99.52 277 | 94.62 236 | 99.72 106 | 98.38 270 |
|
canonicalmvs | | | 98.34 125 | 98.26 120 | 98.58 166 | 98.46 262 | 97.82 145 | 98.96 55 | 99.46 73 | 99.19 50 | 97.46 238 | 95.46 312 | 98.59 31 | 99.46 289 | 98.08 76 | 98.71 264 | 98.46 264 |
|
XVG-ACMP-BASELINE | | | 98.56 98 | 98.34 112 | 99.22 83 | 99.54 67 | 98.59 78 | 97.71 163 | 99.46 73 | 97.25 181 | 98.98 113 | 98.99 119 | 97.54 97 | 99.84 106 | 95.88 201 | 99.74 97 | 99.23 185 |
|
DeepC-MVS | | 97.60 4 | 98.97 43 | 98.93 42 | 99.10 97 | 99.35 110 | 97.98 128 | 98.01 134 | 99.46 73 | 97.56 150 | 99.54 27 | 99.50 35 | 98.97 17 | 99.84 106 | 98.06 77 | 99.92 34 | 99.49 100 |
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
Fast-Effi-MVS+ | | | 97.67 180 | 97.38 191 | 98.57 168 | 98.71 229 | 97.43 169 | 97.23 203 | 99.45 76 | 94.82 255 | 96.13 285 | 96.51 294 | 98.52 35 | 99.91 41 | 96.19 188 | 98.83 257 | 98.37 272 |
|
v1240 | | | 98.55 102 | 98.62 71 | 98.32 196 | 99.22 128 | 95.58 224 | 97.51 187 | 99.45 76 | 97.16 192 | 99.45 42 | 99.24 71 | 96.12 174 | 99.85 90 | 99.60 5 | 99.88 47 | 99.55 75 |
|
VPA-MVSNet | | | 99.30 25 | 99.30 24 | 99.28 73 | 99.49 83 | 98.36 95 | 99.00 51 | 99.45 76 | 99.63 14 | 99.52 32 | 99.44 46 | 98.25 48 | 99.88 61 | 99.09 27 | 99.84 54 | 99.62 40 |
|
tfpnnormal | | | 98.90 52 | 98.90 43 | 98.91 126 | 99.67 40 | 97.82 145 | 99.00 51 | 99.44 79 | 99.45 28 | 99.51 35 | 99.24 71 | 98.20 56 | 99.86 80 | 95.92 200 | 99.69 120 | 99.04 213 |
|
GBi-Net | | | 98.65 84 | 98.47 91 | 99.17 85 | 98.90 196 | 98.24 99 | 99.20 33 | 99.44 79 | 98.59 89 | 98.95 119 | 99.55 30 | 94.14 233 | 99.86 80 | 97.77 93 | 99.69 120 | 99.41 130 |
|
test1 | | | 98.65 84 | 98.47 91 | 99.17 85 | 98.90 196 | 98.24 99 | 99.20 33 | 99.44 79 | 98.59 89 | 98.95 119 | 99.55 30 | 94.14 233 | 99.86 80 | 97.77 93 | 99.69 120 | 99.41 130 |
|
FMVSNet1 | | | 99.17 30 | 99.17 29 | 99.17 85 | 99.55 64 | 98.24 99 | 99.20 33 | 99.44 79 | 99.21 43 | 99.43 45 | 99.55 30 | 97.82 80 | 99.86 80 | 98.42 62 | 99.89 46 | 99.41 130 |
|
TinyColmap | | | 97.89 160 | 97.98 149 | 97.60 238 | 98.86 204 | 94.35 255 | 96.21 262 | 99.44 79 | 97.45 164 | 99.06 97 | 98.88 144 | 97.99 70 | 99.28 311 | 94.38 247 | 99.58 157 | 99.18 197 |
|
HPM-MVS | | | 98.79 61 | 98.53 80 | 99.59 17 | 99.65 43 | 99.29 14 | 99.16 39 | 99.43 84 | 96.74 206 | 98.61 160 | 98.38 215 | 98.62 29 | 99.87 75 | 96.47 173 | 99.67 131 | 99.59 51 |
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023 |
PVSNet_BlendedMVS | | | 97.55 189 | 97.53 180 | 97.60 238 | 98.92 192 | 93.77 274 | 96.64 241 | 99.43 84 | 94.49 258 | 97.62 223 | 99.18 79 | 96.82 142 | 99.67 228 | 94.73 233 | 99.93 25 | 99.36 150 |
|
PVSNet_Blended | | | 96.88 227 | 96.68 223 | 97.47 247 | 98.92 192 | 93.77 274 | 94.71 310 | 99.43 84 | 90.98 305 | 97.62 223 | 97.36 280 | 96.82 142 | 99.67 228 | 94.73 233 | 99.56 166 | 98.98 220 |
|
TranMVSNet+NR-MVSNet | | | 99.17 30 | 99.07 36 | 99.46 52 | 99.37 105 | 98.87 60 | 98.39 98 | 99.42 87 | 99.42 30 | 99.36 55 | 99.06 99 | 98.38 42 | 99.95 13 | 98.34 65 | 99.90 43 | 99.57 62 |
|
door | | | | | | | | | 99.41 88 | | | | | | | | |
|
PMMVS2 | | | 98.07 149 | 98.08 142 | 98.04 216 | 99.41 101 | 94.59 252 | 94.59 313 | 99.40 89 | 97.50 154 | 98.82 141 | 98.83 156 | 96.83 141 | 99.84 106 | 97.50 107 | 99.81 67 | 99.71 25 |
|
UniMVSNet_NR-MVSNet | | | 98.86 56 | 98.68 64 | 99.40 58 | 99.17 142 | 98.74 66 | 97.68 166 | 99.40 89 | 99.14 52 | 99.06 97 | 98.59 196 | 96.71 153 | 99.93 25 | 98.57 53 | 99.77 85 | 99.53 84 |
|
DPE-MVS | | | 98.59 96 | 98.26 120 | 99.57 18 | 99.27 118 | 99.15 39 | 97.01 218 | 99.39 91 | 97.67 139 | 99.44 43 | 98.99 119 | 97.53 99 | 99.89 53 | 95.40 222 | 99.68 125 | 99.66 33 |
|
IterMVS-LS | | | 98.55 102 | 98.70 62 | 98.09 209 | 99.48 88 | 94.73 246 | 97.22 206 | 99.39 91 | 98.97 70 | 99.38 51 | 99.31 63 | 96.00 179 | 99.93 25 | 98.58 51 | 99.97 12 | 99.60 45 |
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
MP-MVS-pluss | | | 98.57 97 | 98.23 123 | 99.60 13 | 99.69 38 | 99.35 8 | 97.16 213 | 99.38 93 | 94.87 254 | 98.97 116 | 98.99 119 | 98.01 67 | 99.88 61 | 97.29 116 | 99.70 114 | 99.58 57 |
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss |
UniMVSNet (Re) | | | 98.87 54 | 98.71 59 | 99.35 65 | 99.24 123 | 98.73 69 | 97.73 162 | 99.38 93 | 98.93 75 | 99.12 88 | 98.73 170 | 96.77 147 | 99.86 80 | 98.63 50 | 99.80 72 | 99.46 115 |
|
PHI-MVS | | | 98.29 131 | 97.95 151 | 99.34 68 | 98.44 264 | 99.16 34 | 98.12 118 | 99.38 93 | 96.01 232 | 98.06 199 | 98.43 211 | 97.80 81 | 99.67 228 | 95.69 213 | 99.58 157 | 99.20 190 |
|
ACMP | | 95.32 15 | 98.41 117 | 98.09 139 | 99.36 60 | 99.51 73 | 98.79 65 | 97.68 166 | 99.38 93 | 95.76 238 | 98.81 143 | 98.82 159 | 98.36 43 | 99.82 132 | 94.75 232 | 99.77 85 | 99.48 106 |
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020 |
ACMMP | | | 98.75 68 | 98.50 85 | 99.52 39 | 99.56 61 | 99.16 34 | 98.87 60 | 99.37 97 | 97.16 192 | 98.82 141 | 99.01 116 | 97.71 83 | 99.87 75 | 96.29 183 | 99.69 120 | 99.54 78 |
Qingshan Xu, Weihang Kong, Wenbing Tao, Marc Pollefeys: Multi-Scale Geometric Consistency Guided and Planar Prior Assisted Multi-View Stereo. IEEE Transactions on Pattern Analysis and Machine Intelligence |
OpenMVS | | 96.65 7 | 97.09 219 | 96.68 223 | 98.32 196 | 98.32 270 | 97.16 185 | 98.86 62 | 99.37 97 | 89.48 313 | 96.29 284 | 99.15 89 | 96.56 157 | 99.90 44 | 92.90 279 | 99.20 221 | 97.89 284 |
|
MSDG | | | 97.71 177 | 97.52 181 | 98.28 201 | 98.91 195 | 96.82 196 | 94.42 316 | 99.37 97 | 97.65 141 | 98.37 184 | 98.29 225 | 97.40 109 | 99.33 304 | 94.09 255 | 99.22 218 | 98.68 259 |
|
ACMM | | 96.08 12 | 98.91 51 | 98.73 56 | 99.48 47 | 99.55 64 | 99.14 41 | 98.07 122 | 99.37 97 | 97.62 143 | 99.04 104 | 98.96 128 | 98.84 20 | 99.79 166 | 97.43 110 | 99.65 137 | 99.49 100 |
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
v144192 | | | 98.54 105 | 98.57 78 | 98.45 186 | 99.21 130 | 95.98 215 | 97.63 171 | 99.36 101 | 97.15 194 | 99.32 64 | 99.18 79 | 95.84 190 | 99.84 106 | 99.50 11 | 99.91 39 | 99.54 78 |
|
v1921920 | | | 98.54 105 | 98.60 76 | 98.38 192 | 99.20 133 | 95.76 222 | 97.56 180 | 99.36 101 | 97.23 187 | 99.38 51 | 99.17 83 | 96.02 177 | 99.84 106 | 99.57 7 | 99.90 43 | 99.54 78 |
|
v1192 | | | 98.60 93 | 98.66 67 | 98.41 189 | 99.27 118 | 95.88 218 | 97.52 185 | 99.36 101 | 97.41 167 | 99.33 59 | 99.20 76 | 96.37 169 | 99.82 132 | 99.57 7 | 99.92 34 | 99.55 75 |
|
SD-MVS | | | 98.40 119 | 98.68 64 | 97.54 243 | 98.96 183 | 97.99 124 | 97.88 144 | 99.36 101 | 98.20 113 | 99.63 24 | 99.04 108 | 98.76 23 | 95.33 334 | 96.56 167 | 99.74 97 | 99.31 169 |
Zhenlong Yuan, Jiakai Cao, Zhaoxin Li, Hao Jiang and Zhaoqi Wang: SD-MVS: Segmentation-driven Deformation Multi-View Stereo with Spherical Refinement and EM optimization. AAAI2024 |
CP-MVS | | | 98.70 76 | 98.42 101 | 99.52 39 | 99.36 106 | 99.12 47 | 98.72 68 | 99.36 101 | 97.54 152 | 98.30 185 | 98.40 213 | 97.86 76 | 99.89 53 | 96.53 170 | 99.72 106 | 99.56 67 |
|
test0726 | | | | | | 99.50 76 | 99.21 23 | 98.17 115 | 99.35 106 | 97.97 121 | 99.26 73 | 99.06 99 | 97.61 92 | | | | |
|
MSP-MVS | | | 98.40 119 | 98.00 148 | 99.61 9 | 99.57 54 | 99.25 19 | 98.57 79 | 99.35 106 | 97.55 151 | 99.31 66 | 97.71 258 | 94.61 223 | 99.88 61 | 96.14 193 | 99.19 225 | 99.70 28 |
|
VPNet | | | 98.87 54 | 98.83 47 | 99.01 115 | 99.70 36 | 97.62 161 | 98.43 95 | 99.35 106 | 99.47 26 | 99.28 67 | 99.05 106 | 96.72 152 | 99.82 132 | 98.09 75 | 99.36 196 | 99.59 51 |
|
UnsupCasMVSNet_eth | | | 97.89 160 | 97.60 177 | 98.75 151 | 99.31 113 | 97.17 184 | 97.62 172 | 99.35 106 | 98.72 84 | 98.76 147 | 98.68 176 | 92.57 257 | 99.74 198 | 97.76 97 | 95.60 319 | 99.34 157 |
|
DP-MVS Recon | | | 97.33 202 | 96.92 210 | 98.57 168 | 99.09 157 | 97.99 124 | 96.79 232 | 99.35 106 | 93.18 280 | 97.71 218 | 98.07 241 | 95.00 212 | 99.31 306 | 93.97 257 | 99.13 235 | 98.42 269 |
|
ITE_SJBPF | | | | | 98.87 131 | 99.22 128 | 98.48 88 | | 99.35 106 | 97.50 154 | 98.28 186 | 98.60 195 | 97.64 90 | 99.35 301 | 93.86 262 | 99.27 211 | 98.79 247 |
|
v1144 | | | 98.60 93 | 98.66 67 | 98.41 189 | 99.36 106 | 95.90 217 | 97.58 178 | 99.34 112 | 97.51 153 | 99.27 69 | 99.15 89 | 96.34 170 | 99.80 153 | 99.47 13 | 99.93 25 | 99.51 91 |
|
XVS | | | 98.72 72 | 98.45 95 | 99.53 34 | 99.46 91 | 99.21 23 | 98.65 70 | 99.34 112 | 98.62 87 | 97.54 231 | 98.63 190 | 97.50 102 | 99.83 121 | 96.79 146 | 99.53 173 | 99.56 67 |
|
X-MVStestdata | | | 94.32 279 | 92.59 297 | 99.53 34 | 99.46 91 | 99.21 23 | 98.65 70 | 99.34 112 | 98.62 87 | 97.54 231 | 45.85 333 | 97.50 102 | 99.83 121 | 96.79 146 | 99.53 173 | 99.56 67 |
|
CP-MVSNet | | | 99.21 29 | 99.09 34 | 99.56 23 | 99.65 43 | 98.96 58 | 99.13 42 | 99.34 112 | 99.42 30 | 99.33 59 | 99.26 68 | 97.01 131 | 99.94 21 | 98.74 45 | 99.93 25 | 99.79 12 |
|
test_0402 | | | 98.76 67 | 98.71 59 | 98.93 123 | 99.56 61 | 98.14 109 | 98.45 94 | 99.34 112 | 99.28 40 | 98.95 119 | 98.91 135 | 98.34 45 | 99.79 166 | 95.63 215 | 99.91 39 | 98.86 238 |
|
APD-MVS_3200maxsize | | | 98.84 57 | 98.61 74 | 99.53 34 | 99.19 134 | 99.27 17 | 98.49 90 | 99.33 117 | 98.64 85 | 99.03 107 | 98.98 123 | 97.89 74 | 99.85 90 | 96.54 169 | 99.42 191 | 99.46 115 |
|
DP-MVS | | | 98.93 48 | 98.81 50 | 99.28 73 | 99.21 130 | 98.45 90 | 98.46 93 | 99.33 117 | 99.63 14 | 99.48 37 | 99.15 89 | 97.23 121 | 99.75 194 | 97.17 121 | 99.66 136 | 99.63 39 |
|
9.14 | | | | 97.78 162 | | 99.07 161 | | 97.53 184 | 99.32 119 | 95.53 242 | 98.54 170 | 98.70 173 | 97.58 94 | 99.76 187 | 94.32 248 | 99.46 187 | |
|
test_0728_SECOND | | | | | 99.60 13 | 99.50 76 | 99.23 21 | 98.02 131 | 99.32 119 | | | | | 99.88 61 | 96.99 131 | 99.63 141 | 99.68 30 |
|
Anonymous20231206 | | | 98.21 139 | 98.21 124 | 98.20 205 | 99.51 73 | 95.43 231 | 98.13 116 | 99.32 119 | 96.16 226 | 98.93 124 | 98.82 159 | 96.00 179 | 99.83 121 | 97.32 115 | 99.73 100 | 99.36 150 |
|
LS3D | | | 98.63 88 | 98.38 107 | 99.36 60 | 97.25 313 | 99.38 5 | 99.12 44 | 99.32 119 | 99.21 43 | 98.44 176 | 98.88 144 | 97.31 112 | 99.80 153 | 96.58 162 | 99.34 200 | 98.92 231 |
|
miper_lstm_enhance | | | 97.18 214 | 97.16 201 | 97.25 256 | 98.16 280 | 92.85 284 | 95.15 302 | 99.31 123 | 97.25 181 | 98.74 150 | 98.78 164 | 90.07 269 | 99.78 176 | 97.19 120 | 99.80 72 | 99.11 207 |
|
HFP-MVS | | | 98.71 73 | 98.44 97 | 99.51 43 | 99.49 83 | 99.16 34 | 98.52 84 | 99.31 123 | 97.47 157 | 98.58 165 | 98.50 205 | 97.97 71 | 99.85 90 | 96.57 164 | 99.59 151 | 99.53 84 |
|
region2R | | | 98.69 78 | 98.40 103 | 99.54 28 | 99.53 69 | 99.17 32 | 98.52 84 | 99.31 123 | 97.46 162 | 98.44 176 | 98.51 202 | 97.83 77 | 99.88 61 | 96.46 174 | 99.58 157 | 99.58 57 |
|
#test# | | | 98.50 109 | 98.16 132 | 99.51 43 | 99.49 83 | 99.16 34 | 98.03 129 | 99.31 123 | 96.30 223 | 98.58 165 | 98.50 205 | 97.97 71 | 99.85 90 | 95.68 214 | 99.59 151 | 99.53 84 |
|
ACMMPR | | | 98.70 76 | 98.42 101 | 99.54 28 | 99.52 71 | 99.14 41 | 98.52 84 | 99.31 123 | 97.47 157 | 98.56 167 | 98.54 200 | 97.75 82 | 99.88 61 | 96.57 164 | 99.59 151 | 99.58 57 |
|
SteuartSystems-ACMMP | | | 98.79 61 | 98.54 79 | 99.54 28 | 99.73 24 | 99.16 34 | 98.23 107 | 99.31 123 | 97.92 125 | 98.90 126 | 98.90 138 | 98.00 68 | 99.88 61 | 96.15 192 | 99.72 106 | 99.58 57 |
Skip Steuart: Steuart Systems R&D Blog. |
MVS_111021_LR | | | 98.30 128 | 98.12 137 | 98.83 136 | 99.16 144 | 98.03 122 | 96.09 266 | 99.30 129 | 97.58 147 | 98.10 196 | 98.24 227 | 98.25 48 | 99.34 302 | 96.69 156 | 99.65 137 | 99.12 206 |
|
F-COLMAP | | | 97.30 204 | 96.68 223 | 99.14 91 | 99.19 134 | 98.39 92 | 97.27 202 | 99.30 129 | 92.93 282 | 96.62 272 | 98.00 243 | 95.73 192 | 99.68 224 | 92.62 287 | 98.46 274 | 99.35 154 |
|
3Dnovator | | 98.27 2 | 98.81 60 | 98.73 56 | 99.05 108 | 98.76 220 | 97.81 147 | 99.25 31 | 99.30 129 | 98.57 93 | 98.55 168 | 99.33 61 | 97.95 73 | 99.90 44 | 97.16 122 | 99.67 131 | 99.44 121 |
|
SR-MVS | | | 98.71 73 | 98.43 99 | 99.57 18 | 99.18 141 | 99.35 8 | 98.36 100 | 99.29 132 | 98.29 105 | 98.88 132 | 98.85 150 | 97.53 99 | 99.87 75 | 96.14 193 | 99.31 204 | 99.48 106 |
|
test_part1 | | | | | 0.00 323 | | 0.00 341 | 0.00 334 | 99.28 133 | | | | 0.00 343 | 0.00 339 | 0.00 336 | 0.00 336 | 0.00 335 |
|
pmmvs-eth3d | | | 98.47 112 | 98.34 112 | 98.86 133 | 99.30 115 | 97.76 150 | 97.16 213 | 99.28 133 | 95.54 241 | 99.42 46 | 99.19 77 | 97.27 116 | 99.63 244 | 97.89 85 | 99.97 12 | 99.20 190 |
|
APD-MVS | | | 98.10 146 | 97.67 169 | 99.42 53 | 99.11 152 | 98.93 59 | 97.76 159 | 99.28 133 | 94.97 251 | 98.72 151 | 98.77 166 | 97.04 127 | 99.85 90 | 93.79 264 | 99.54 169 | 99.49 100 |
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023 |
TAPA-MVS | | 96.21 11 | 96.63 239 | 95.95 246 | 98.65 157 | 98.93 188 | 98.09 111 | 96.93 224 | 99.28 133 | 83.58 327 | 98.13 194 | 97.78 254 | 96.13 173 | 99.40 295 | 93.52 270 | 99.29 209 | 98.45 266 |
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019 |
HQP_MVS | | | 97.99 156 | 97.67 169 | 98.93 123 | 99.19 134 | 97.65 158 | 97.77 157 | 99.27 137 | 98.20 113 | 97.79 214 | 97.98 245 | 94.90 213 | 99.70 214 | 94.42 243 | 99.51 178 | 99.45 119 |
|
plane_prior5 | | | | | | | | | 99.27 137 | | | | | 99.70 214 | 94.42 243 | 99.51 178 | 99.45 119 |
|
CPTT-MVS | | | 97.84 170 | 97.36 192 | 99.27 76 | 99.31 113 | 98.46 89 | 98.29 102 | 99.27 137 | 94.90 253 | 97.83 210 | 98.37 216 | 94.90 213 | 99.84 106 | 93.85 263 | 99.54 169 | 99.51 91 |
|
UnsupCasMVSNet_bld | | | 97.30 204 | 96.92 210 | 98.45 186 | 99.28 117 | 96.78 200 | 96.20 263 | 99.27 137 | 95.42 245 | 98.28 186 | 98.30 224 | 93.16 247 | 99.71 212 | 94.99 227 | 97.37 300 | 98.87 237 |
|
MVS_111021_HR | | | 98.25 136 | 98.08 142 | 98.75 151 | 99.09 157 | 97.46 167 | 95.97 269 | 99.27 137 | 97.60 146 | 97.99 203 | 98.25 226 | 98.15 60 | 99.38 299 | 96.87 142 | 99.57 161 | 99.42 128 |
|
cascas | | | 94.79 274 | 94.33 279 | 96.15 286 | 96.02 331 | 92.36 291 | 92.34 330 | 99.26 142 | 85.34 325 | 95.08 309 | 94.96 319 | 92.96 253 | 98.53 328 | 94.41 246 | 98.59 271 | 97.56 303 |
|
GST-MVS | | | 98.61 91 | 98.30 117 | 99.52 39 | 99.51 73 | 99.20 28 | 98.26 105 | 99.25 143 | 97.44 165 | 98.67 154 | 98.39 214 | 97.68 84 | 99.85 90 | 96.00 196 | 99.51 178 | 99.52 88 |
|
IterMVS-SCA-FT | | | 97.85 169 | 98.18 128 | 96.87 268 | 99.27 118 | 91.16 307 | 95.53 290 | 99.25 143 | 99.10 58 | 99.41 47 | 99.35 57 | 93.10 249 | 99.96 8 | 98.65 49 | 99.94 20 | 99.49 100 |
|
ACMMP_NAP | | | 98.75 68 | 98.48 89 | 99.57 18 | 99.58 50 | 99.29 14 | 97.82 152 | 99.25 143 | 96.94 199 | 98.78 144 | 99.12 93 | 98.02 66 | 99.84 106 | 97.13 126 | 99.67 131 | 99.59 51 |
|
DU-MVS | | | 98.82 58 | 98.63 70 | 99.39 59 | 99.16 144 | 98.74 66 | 97.54 183 | 99.25 143 | 98.84 80 | 99.06 97 | 98.76 168 | 96.76 149 | 99.93 25 | 98.57 53 | 99.77 85 | 99.50 96 |
|
OMC-MVS | | | 97.88 162 | 97.49 183 | 99.04 110 | 98.89 201 | 98.63 73 | 96.94 222 | 99.25 143 | 95.02 249 | 98.53 171 | 98.51 202 | 97.27 116 | 99.47 287 | 93.50 272 | 99.51 178 | 99.01 217 |
|
test20.03 | | | 98.78 64 | 98.77 54 | 98.78 145 | 99.46 91 | 97.20 181 | 97.78 154 | 99.24 148 | 99.04 63 | 99.41 47 | 98.90 138 | 97.65 87 | 99.76 187 | 97.70 99 | 99.79 77 | 99.39 137 |
|
mPP-MVS | | | 98.64 86 | 98.34 112 | 99.54 28 | 99.54 67 | 99.17 32 | 98.63 72 | 99.24 148 | 97.47 157 | 98.09 197 | 98.68 176 | 97.62 91 | 99.89 53 | 96.22 186 | 99.62 144 | 99.57 62 |
|
MSLP-MVS++ | | | 98.02 151 | 98.14 136 | 97.64 236 | 98.58 252 | 95.19 237 | 97.48 189 | 99.23 150 | 97.47 157 | 97.90 206 | 98.62 192 | 97.04 127 | 98.81 327 | 97.55 102 | 99.41 192 | 98.94 229 |
|
SMA-MVS | | | 98.40 119 | 98.03 146 | 99.51 43 | 99.16 144 | 99.21 23 | 98.05 126 | 99.22 151 | 94.16 269 | 98.98 113 | 99.10 96 | 97.52 101 | 99.79 166 | 96.45 175 | 99.64 139 | 99.53 84 |
|
IterMVS | | | 97.73 176 | 98.11 138 | 96.57 274 | 99.24 123 | 90.28 308 | 95.52 292 | 99.21 152 | 98.86 78 | 99.33 59 | 99.33 61 | 93.11 248 | 99.94 21 | 98.49 57 | 99.94 20 | 99.48 106 |
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
CLD-MVS | | | 97.49 192 | 97.16 201 | 98.48 183 | 99.07 161 | 97.03 189 | 94.71 310 | 99.21 152 | 94.46 260 | 98.06 199 | 97.16 284 | 97.57 95 | 99.48 286 | 94.46 240 | 99.78 81 | 98.95 225 |
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020 |
zzz-MVS | | | 98.79 61 | 98.52 81 | 99.61 9 | 99.67 40 | 99.36 6 | 97.33 196 | 99.20 154 | 98.83 81 | 98.89 128 | 98.90 138 | 96.98 133 | 99.92 31 | 97.16 122 | 99.70 114 | 99.56 67 |
|
MTGPA | | | | | | | | | 99.20 154 | | | | | | | | |
|
MTAPA | | | 98.88 53 | 98.64 69 | 99.61 9 | 99.67 40 | 99.36 6 | 98.43 95 | 99.20 154 | 98.83 81 | 98.89 128 | 98.90 138 | 96.98 133 | 99.92 31 | 97.16 122 | 99.70 114 | 99.56 67 |
|
NR-MVSNet | | | 98.95 46 | 98.82 48 | 99.36 60 | 99.16 144 | 98.72 71 | 99.22 32 | 99.20 154 | 99.10 58 | 99.72 14 | 98.76 168 | 96.38 168 | 99.86 80 | 98.00 82 | 99.82 63 | 99.50 96 |
|
DELS-MVS | | | 98.27 132 | 98.20 125 | 98.48 183 | 98.86 204 | 96.70 201 | 95.60 288 | 99.20 154 | 97.73 136 | 98.45 175 | 98.71 172 | 97.50 102 | 99.82 132 | 98.21 70 | 99.59 151 | 98.93 230 |
Christian Sormann, Emanuele Santellani, Mattia Rossi, Andreas Kuhn, Friedrich Fraundorfer: DELS-MVS: Deep Epipolar Line Search for Multi-View Stereo. Winter Conference on Applications of Computer Vision (WACV), 2023 |
V42 | | | 98.78 64 | 98.78 52 | 98.76 148 | 99.44 96 | 97.04 188 | 98.27 104 | 99.19 159 | 97.87 129 | 99.25 74 | 99.16 85 | 96.84 139 | 99.78 176 | 99.21 22 | 99.84 54 | 99.46 115 |
|
MP-MVS | | | 98.46 113 | 98.09 139 | 99.54 28 | 99.57 54 | 99.22 22 | 98.50 89 | 99.19 159 | 97.61 145 | 97.58 227 | 98.66 181 | 97.40 109 | 99.88 61 | 94.72 235 | 99.60 150 | 99.54 78 |
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo. |
QAPM | | | 97.31 203 | 96.81 216 | 98.82 137 | 98.80 218 | 97.49 165 | 99.06 47 | 99.19 159 | 90.22 309 | 97.69 220 | 99.16 85 | 96.91 136 | 99.90 44 | 90.89 307 | 99.41 192 | 99.07 209 |
|
3Dnovator+ | | 97.89 3 | 98.69 78 | 98.51 83 | 99.24 81 | 98.81 216 | 98.40 91 | 99.02 48 | 99.19 159 | 98.99 67 | 98.07 198 | 99.28 64 | 97.11 126 | 99.84 106 | 96.84 144 | 99.32 202 | 99.47 113 |
|
testtj | | | 97.79 175 | 97.25 197 | 99.42 53 | 99.03 172 | 98.85 61 | 97.78 154 | 99.18 163 | 95.83 236 | 98.12 195 | 98.50 205 | 95.50 200 | 99.86 80 | 92.23 292 | 99.07 241 | 99.54 78 |
|
OPM-MVS | | | 98.56 98 | 98.32 116 | 99.25 80 | 99.41 101 | 98.73 69 | 97.13 215 | 99.18 163 | 97.10 195 | 98.75 148 | 98.92 134 | 98.18 57 | 99.65 241 | 96.68 157 | 99.56 166 | 99.37 144 |
|
MVP-Stereo | | | 98.08 148 | 97.92 154 | 98.57 168 | 98.96 183 | 96.79 197 | 97.90 143 | 99.18 163 | 96.41 218 | 98.46 174 | 98.95 130 | 95.93 186 | 99.60 252 | 96.51 171 | 98.98 252 | 99.31 169 |
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application. |
DeepPCF-MVS | | 96.93 5 | 98.32 126 | 98.01 147 | 99.23 82 | 98.39 267 | 98.97 55 | 95.03 304 | 99.18 163 | 96.88 202 | 99.33 59 | 98.78 164 | 98.16 58 | 99.28 311 | 96.74 150 | 99.62 144 | 99.44 121 |
|
xiu_mvs_v1_base_debu | | | 97.86 164 | 98.17 129 | 96.92 265 | 98.98 180 | 93.91 267 | 96.45 249 | 99.17 167 | 97.85 131 | 98.41 179 | 97.14 286 | 98.47 36 | 99.92 31 | 98.02 79 | 99.05 242 | 96.92 311 |
|
xiu_mvs_v1_base | | | 97.86 164 | 98.17 129 | 96.92 265 | 98.98 180 | 93.91 267 | 96.45 249 | 99.17 167 | 97.85 131 | 98.41 179 | 97.14 286 | 98.47 36 | 99.92 31 | 98.02 79 | 99.05 242 | 96.92 311 |
|
xiu_mvs_v1_base_debi | | | 97.86 164 | 98.17 129 | 96.92 265 | 98.98 180 | 93.91 267 | 96.45 249 | 99.17 167 | 97.85 131 | 98.41 179 | 97.14 286 | 98.47 36 | 99.92 31 | 98.02 79 | 99.05 242 | 96.92 311 |
|
Effi-MVS+-dtu | | | 98.26 134 | 97.90 156 | 99.35 65 | 98.02 286 | 99.49 2 | 98.02 131 | 99.16 170 | 98.29 105 | 97.64 222 | 97.99 244 | 96.44 164 | 99.95 13 | 96.66 158 | 98.93 255 | 98.60 260 |
|
mvs-test1 | | | 97.83 172 | 97.48 186 | 98.89 129 | 98.02 286 | 99.20 28 | 97.20 207 | 99.16 170 | 98.29 105 | 96.46 281 | 97.17 283 | 96.44 164 | 99.92 31 | 96.66 158 | 97.90 293 | 97.54 304 |
|
v2v482 | | | 98.56 98 | 98.62 71 | 98.37 193 | 99.42 100 | 95.81 221 | 97.58 178 | 99.16 170 | 97.90 127 | 99.28 67 | 99.01 116 | 95.98 183 | 99.79 166 | 99.33 16 | 99.90 43 | 99.51 91 |
|
MDA-MVSNet-bldmvs | | | 97.94 157 | 97.91 155 | 98.06 214 | 99.44 96 | 94.96 242 | 96.63 242 | 99.15 173 | 98.35 98 | 98.83 139 | 99.11 94 | 94.31 230 | 99.85 90 | 96.60 161 | 98.72 262 | 99.37 144 |
|
testing_2 | | | 98.93 48 | 98.99 41 | 98.76 148 | 99.57 54 | 97.03 189 | 97.85 149 | 99.13 174 | 98.46 96 | 99.44 43 | 99.44 46 | 98.22 53 | 99.74 198 | 98.85 38 | 99.94 20 | 99.51 91 |
|
FMVSNet2 | | | 98.49 110 | 98.40 103 | 98.75 151 | 98.90 196 | 97.14 187 | 98.61 74 | 99.13 174 | 98.59 89 | 99.19 81 | 99.28 64 | 94.14 233 | 99.82 132 | 97.97 83 | 99.80 72 | 99.29 175 |
|
DSMNet-mixed | | | 97.42 197 | 97.60 177 | 96.87 268 | 99.15 148 | 91.46 298 | 98.54 82 | 99.12 176 | 92.87 284 | 97.58 227 | 99.63 21 | 96.21 172 | 99.90 44 | 95.74 210 | 99.54 169 | 99.27 177 |
|
CMPMVS | | 75.91 23 | 96.29 248 | 95.44 258 | 98.84 135 | 96.25 328 | 98.69 72 | 97.02 217 | 99.12 176 | 88.90 316 | 97.83 210 | 98.86 147 | 89.51 273 | 98.90 325 | 91.92 293 | 99.51 178 | 98.92 231 |
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011 |
PCF-MVS | | 92.86 18 | 94.36 278 | 93.00 295 | 98.42 188 | 98.70 233 | 97.56 162 | 93.16 326 | 99.11 178 | 79.59 330 | 97.55 230 | 97.43 275 | 92.19 259 | 99.73 203 | 79.85 330 | 99.45 189 | 97.97 283 |
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019 |
cdsmvs_eth3d_5k | | | 24.66 308 | 32.88 310 | 0.00 323 | 0.00 340 | 0.00 341 | 0.00 334 | 99.10 179 | 0.00 336 | 0.00 338 | 97.58 265 | 99.21 11 | 0.00 339 | 0.00 336 | 0.00 336 | 0.00 335 |
|
Regformer-2 | | | 98.60 93 | 98.46 93 | 99.02 114 | 98.85 206 | 97.71 155 | 96.91 227 | 99.09 180 | 98.98 69 | 99.01 108 | 98.64 186 | 97.37 111 | 99.84 106 | 97.75 98 | 99.57 161 | 99.52 88 |
|
DeepC-MVS_fast | | 96.85 6 | 98.30 128 | 98.15 134 | 98.75 151 | 98.61 248 | 97.23 177 | 97.76 159 | 99.09 180 | 97.31 177 | 98.75 148 | 98.66 181 | 97.56 96 | 99.64 243 | 96.10 195 | 99.55 168 | 99.39 137 |
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
v148 | | | 98.45 114 | 98.60 76 | 98.00 218 | 99.44 96 | 94.98 241 | 97.44 192 | 99.06 182 | 98.30 102 | 99.32 64 | 98.97 125 | 96.65 155 | 99.62 246 | 98.37 64 | 99.85 52 | 99.39 137 |
|
Regformer-4 | | | 98.73 71 | 98.68 64 | 98.89 129 | 99.02 174 | 97.22 179 | 97.17 211 | 99.06 182 | 99.21 43 | 99.17 86 | 98.85 150 | 97.45 106 | 99.86 80 | 98.48 58 | 99.70 114 | 99.60 45 |
|
PatchMatch-RL | | | 97.24 210 | 96.78 217 | 98.61 164 | 99.03 172 | 97.83 142 | 96.36 255 | 99.06 182 | 93.49 279 | 97.36 245 | 97.78 254 | 95.75 191 | 99.49 283 | 93.44 273 | 98.77 259 | 98.52 262 |
|
PLC | | 94.65 16 | 96.51 242 | 95.73 249 | 98.85 134 | 98.75 223 | 97.91 136 | 96.42 252 | 99.06 182 | 90.94 306 | 95.59 296 | 97.38 278 | 94.41 227 | 99.59 256 | 90.93 305 | 98.04 291 | 99.05 211 |
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019 |
ppachtmachnet_test | | | 97.50 190 | 97.74 165 | 96.78 272 | 98.70 233 | 91.23 306 | 94.55 314 | 99.05 186 | 96.36 219 | 99.21 79 | 98.79 163 | 96.39 166 | 99.78 176 | 96.74 150 | 99.82 63 | 99.34 157 |
|
CANet | | | 97.87 163 | 97.76 163 | 98.19 206 | 97.75 294 | 95.51 227 | 96.76 235 | 99.05 186 | 97.74 135 | 96.93 255 | 98.21 230 | 95.59 196 | 99.89 53 | 97.86 90 | 99.93 25 | 99.19 195 |
|
pmmvs5 | | | 97.64 182 | 97.49 183 | 98.08 212 | 99.14 149 | 95.12 240 | 96.70 239 | 99.05 186 | 93.77 274 | 98.62 158 | 98.83 156 | 93.23 245 | 99.75 194 | 98.33 67 | 99.76 94 | 99.36 150 |
|
HQP3-MVS | | | | | | | | | 99.04 189 | | | | | | | 99.26 214 | |
|
HQP-MVS | | | 97.00 224 | 96.49 234 | 98.55 173 | 98.67 241 | 96.79 197 | 96.29 258 | 99.04 189 | 96.05 229 | 95.55 300 | 96.84 289 | 93.84 237 | 99.54 271 | 92.82 282 | 99.26 214 | 99.32 165 |
|
TEST9 | | | | | | 98.71 229 | 98.08 115 | 95.96 271 | 99.03 191 | 91.40 301 | 95.85 293 | 97.53 267 | 96.52 159 | 99.76 187 | | | |
|
train_agg | | | 97.10 218 | 96.45 235 | 99.07 102 | 98.71 229 | 98.08 115 | 95.96 271 | 99.03 191 | 91.64 296 | 95.85 293 | 97.53 267 | 96.47 162 | 99.76 187 | 93.67 266 | 99.16 229 | 99.36 150 |
|
test_prior3 | | | 97.48 194 | 97.00 207 | 98.95 120 | 98.69 236 | 97.95 133 | 95.74 283 | 99.03 191 | 96.48 215 | 96.11 286 | 97.63 263 | 95.92 187 | 99.59 256 | 94.16 249 | 99.20 221 | 99.30 172 |
|
test_prior | | | | | 98.95 120 | 98.69 236 | 97.95 133 | | 99.03 191 | | | | | 99.59 256 | | | 99.30 172 |
|
save fliter | | | | | | 99.11 152 | 97.97 129 | 96.53 246 | 99.02 195 | 98.24 108 | | | | | | | |
|
test_8 | | | | | | 98.67 241 | 98.01 123 | 95.91 276 | 99.02 195 | 91.64 296 | 95.79 295 | 97.50 270 | 96.47 162 | 99.76 187 | | | |
|
MVS_Test | | | 98.18 142 | 98.36 109 | 97.67 232 | 98.48 260 | 94.73 246 | 98.18 112 | 99.02 195 | 97.69 138 | 98.04 201 | 99.11 94 | 97.22 122 | 99.56 265 | 98.57 53 | 98.90 256 | 98.71 253 |
|
agg_prior1 | | | 97.06 221 | 96.40 236 | 99.03 111 | 98.68 239 | 97.99 124 | 95.76 281 | 99.01 198 | 91.73 295 | 95.59 296 | 97.50 270 | 96.49 161 | 99.77 182 | 93.71 265 | 99.14 232 | 99.34 157 |
|
agg_prior | | | | | | 98.68 239 | 97.99 124 | | 99.01 198 | | 95.59 296 | | | 99.77 182 | | | |
|
CDPH-MVS | | | 97.26 207 | 96.66 226 | 99.07 102 | 99.00 176 | 98.15 107 | 96.03 267 | 99.01 198 | 91.21 304 | 97.79 214 | 97.85 252 | 96.89 137 | 99.69 218 | 92.75 285 | 99.38 195 | 99.39 137 |
|
ambc | | | | | 98.24 203 | 98.82 214 | 95.97 216 | 98.62 73 | 99.00 201 | | 99.27 69 | 99.21 74 | 96.99 132 | 99.50 282 | 96.55 168 | 99.50 185 | 99.26 180 |
|
Anonymous20240529 | | | 98.93 48 | 98.87 44 | 99.12 93 | 99.19 134 | 98.22 104 | 99.01 49 | 98.99 202 | 99.25 42 | 99.54 27 | 99.37 53 | 97.04 127 | 99.80 153 | 97.89 85 | 99.52 177 | 99.35 154 |
|
Regformer-1 | | | 98.55 102 | 98.44 97 | 98.87 131 | 98.85 206 | 97.29 173 | 96.91 227 | 98.99 202 | 98.97 70 | 98.99 111 | 98.64 186 | 97.26 119 | 99.81 144 | 97.79 91 | 99.57 161 | 99.51 91 |
|
our_test_3 | | | 97.39 199 | 97.73 167 | 96.34 278 | 98.70 233 | 89.78 310 | 94.61 312 | 98.97 204 | 96.50 214 | 99.04 104 | 98.85 150 | 95.98 183 | 99.84 106 | 97.26 118 | 99.67 131 | 99.41 130 |
|
TSAR-MVS + MP. | | | 98.63 88 | 98.49 88 | 99.06 107 | 99.64 46 | 97.90 137 | 98.51 88 | 98.94 205 | 96.96 198 | 99.24 75 | 98.89 143 | 97.83 77 | 99.81 144 | 96.88 141 | 99.49 186 | 99.48 106 |
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition |
WR-MVS | | | 98.40 119 | 98.19 127 | 99.03 111 | 99.00 176 | 97.65 158 | 96.85 230 | 98.94 205 | 98.57 93 | 98.89 128 | 98.50 205 | 95.60 195 | 99.85 90 | 97.54 104 | 99.85 52 | 99.59 51 |
|
CNVR-MVS | | | 98.17 144 | 97.87 158 | 99.07 102 | 98.67 241 | 98.24 99 | 97.01 218 | 98.93 207 | 97.25 181 | 97.62 223 | 98.34 219 | 97.27 116 | 99.57 262 | 96.42 178 | 99.33 201 | 99.39 137 |
|
CNLPA | | | 97.17 215 | 96.71 221 | 98.55 173 | 98.56 254 | 98.05 120 | 96.33 256 | 98.93 207 | 96.91 201 | 97.06 251 | 97.39 277 | 94.38 229 | 99.45 291 | 91.66 296 | 99.18 227 | 98.14 278 |
|
AdaColmap | | | 97.14 217 | 96.71 221 | 98.46 185 | 98.34 269 | 97.80 148 | 96.95 221 | 98.93 207 | 95.58 240 | 96.92 256 | 97.66 260 | 95.87 189 | 99.53 273 | 90.97 304 | 99.14 232 | 98.04 281 |
|
CR-MVSNet | | | 96.28 249 | 95.95 246 | 97.28 253 | 97.71 296 | 94.22 256 | 98.11 119 | 98.92 210 | 92.31 290 | 96.91 258 | 99.37 53 | 85.44 295 | 99.81 144 | 97.39 112 | 97.36 302 | 97.81 290 |
|
Patchmtry | | | 97.35 200 | 96.97 208 | 98.50 182 | 97.31 312 | 96.47 205 | 98.18 112 | 98.92 210 | 98.95 74 | 98.78 144 | 99.37 53 | 85.44 295 | 99.85 90 | 95.96 199 | 99.83 60 | 99.17 201 |
|
FMVSNet3 | | | 97.50 190 | 97.24 198 | 98.29 200 | 98.08 284 | 95.83 220 | 97.86 147 | 98.91 212 | 97.89 128 | 98.95 119 | 98.95 130 | 87.06 280 | 99.81 144 | 97.77 93 | 99.69 120 | 99.23 185 |
|
mvs_anonymous | | | 97.83 172 | 98.16 132 | 96.87 268 | 98.18 279 | 91.89 294 | 97.31 198 | 98.90 213 | 97.37 171 | 98.83 139 | 99.46 41 | 96.28 171 | 99.79 166 | 98.90 35 | 98.16 283 | 98.95 225 |
|
NCCC | | | 97.86 164 | 97.47 187 | 99.05 108 | 98.61 248 | 98.07 117 | 96.98 220 | 98.90 213 | 97.63 142 | 97.04 252 | 97.93 248 | 95.99 182 | 99.66 236 | 95.31 223 | 98.82 258 | 99.43 125 |
|
D2MVS | | | 97.84 170 | 97.84 160 | 97.83 224 | 99.14 149 | 94.74 245 | 96.94 222 | 98.88 215 | 95.84 235 | 98.89 128 | 98.96 128 | 94.40 228 | 99.69 218 | 97.55 102 | 99.95 16 | 99.05 211 |
|
CHOSEN 280x420 | | | 95.51 264 | 95.47 256 | 95.65 293 | 98.25 274 | 88.27 314 | 93.25 325 | 98.88 215 | 93.53 277 | 94.65 311 | 97.15 285 | 86.17 287 | 99.93 25 | 97.41 111 | 99.93 25 | 98.73 252 |
|
EI-MVSNet-UG-set | | | 98.69 78 | 98.71 59 | 98.62 162 | 99.10 154 | 96.37 207 | 97.23 203 | 98.87 217 | 99.20 46 | 99.19 81 | 98.99 119 | 97.30 113 | 99.85 90 | 98.77 44 | 99.79 77 | 99.65 35 |
|
EI-MVSNet | | | 98.40 119 | 98.51 83 | 98.04 216 | 99.10 154 | 94.73 246 | 97.20 207 | 98.87 217 | 98.97 70 | 99.06 97 | 99.02 112 | 96.00 179 | 99.80 153 | 98.58 51 | 99.82 63 | 99.60 45 |
|
test11 | | | | | | | | | 98.87 217 | | | | | | | | |
|
MVSTER | | | 96.86 228 | 96.55 232 | 97.79 226 | 97.91 291 | 94.21 258 | 97.56 180 | 98.87 217 | 97.49 156 | 99.06 97 | 99.05 106 | 80.72 315 | 99.80 153 | 98.44 60 | 99.82 63 | 99.37 144 |
|
EI-MVSNet-Vis-set | | | 98.68 81 | 98.70 62 | 98.63 160 | 99.09 157 | 96.40 206 | 97.23 203 | 98.86 221 | 99.20 46 | 99.18 85 | 98.97 125 | 97.29 115 | 99.85 90 | 98.72 46 | 99.78 81 | 99.64 36 |
|
PS-MVSNAJ | | | 97.08 220 | 97.39 190 | 96.16 285 | 98.56 254 | 92.46 288 | 95.24 299 | 98.85 222 | 97.25 181 | 97.49 236 | 95.99 302 | 98.07 62 | 99.90 44 | 96.37 179 | 98.67 267 | 96.12 323 |
|
DVP-MVS | | | 98.77 66 | 98.52 81 | 99.52 39 | 99.50 76 | 99.21 23 | 98.02 131 | 98.84 223 | 97.97 121 | 99.08 95 | 99.02 112 | 97.61 92 | 99.88 61 | 96.99 131 | 99.63 141 | 99.48 106 |
|
xiu_mvs_v2_base | | | 97.16 216 | 97.49 183 | 96.17 283 | 98.54 256 | 92.46 288 | 95.45 294 | 98.84 223 | 97.25 181 | 97.48 237 | 96.49 295 | 98.31 46 | 99.90 44 | 96.34 181 | 98.68 266 | 96.15 322 |
|
MS-PatchMatch | | | 97.68 179 | 97.75 164 | 97.45 248 | 98.23 277 | 93.78 273 | 97.29 199 | 98.84 223 | 96.10 228 | 98.64 157 | 98.65 183 | 96.04 176 | 99.36 300 | 96.84 144 | 99.14 232 | 99.20 190 |
|
Regformer-3 | | | 98.61 91 | 98.61 74 | 98.63 160 | 99.02 174 | 96.53 204 | 97.17 211 | 98.84 223 | 99.13 53 | 99.10 92 | 98.85 150 | 97.24 120 | 99.79 166 | 98.41 63 | 99.70 114 | 99.57 62 |
|
PMMVS | | | 96.51 242 | 95.98 245 | 98.09 209 | 97.53 304 | 95.84 219 | 94.92 306 | 98.84 223 | 91.58 298 | 96.05 290 | 95.58 308 | 95.68 193 | 99.66 236 | 95.59 217 | 98.09 287 | 98.76 250 |
|
原ACMM1 | | | | | 98.35 194 | 98.90 196 | 96.25 210 | | 98.83 228 | 92.48 288 | 96.07 289 | 98.10 237 | 95.39 204 | 99.71 212 | 92.61 288 | 98.99 250 | 99.08 208 |
|
ab-mvs | | | 98.41 117 | 98.36 109 | 98.59 165 | 99.19 134 | 97.23 177 | 99.32 16 | 98.81 229 | 97.66 140 | 98.62 158 | 99.40 52 | 96.82 142 | 99.80 153 | 95.88 201 | 99.51 178 | 98.75 251 |
|
TAMVS | | | 98.24 137 | 98.05 144 | 98.80 140 | 99.07 161 | 97.18 183 | 97.88 144 | 98.81 229 | 96.66 211 | 99.17 86 | 99.21 74 | 94.81 219 | 99.77 182 | 96.96 135 | 99.88 47 | 99.44 121 |
|
testdata | | | | | 98.09 209 | 98.93 188 | 95.40 232 | | 98.80 231 | 90.08 311 | 97.45 239 | 98.37 216 | 95.26 206 | 99.70 214 | 93.58 269 | 98.95 254 | 99.17 201 |
|
CANet_DTU | | | 97.26 207 | 97.06 205 | 97.84 223 | 97.57 301 | 94.65 250 | 96.19 264 | 98.79 232 | 97.23 187 | 95.14 308 | 98.24 227 | 93.22 246 | 99.84 106 | 97.34 114 | 99.84 54 | 99.04 213 |
|
test222 | | | | | | 98.92 192 | 96.93 194 | 95.54 289 | 98.78 233 | 85.72 324 | 96.86 264 | 98.11 236 | 94.43 226 | | | 99.10 240 | 99.23 185 |
|
新几何1 | | | | | 98.91 126 | 98.94 186 | 97.76 150 | | 98.76 234 | 87.58 321 | 96.75 268 | 98.10 237 | 94.80 220 | 99.78 176 | 92.73 286 | 99.00 249 | 99.20 190 |
|
旧先验1 | | | | | | 98.82 214 | 97.45 168 | | 98.76 234 | | | 98.34 219 | 95.50 200 | | | 99.01 248 | 99.23 185 |
|
PAPM_NR | | | 96.82 231 | 96.32 239 | 98.30 199 | 99.07 161 | 96.69 202 | 97.48 189 | 98.76 234 | 95.81 237 | 96.61 273 | 96.47 297 | 94.12 236 | 99.17 315 | 90.82 308 | 97.78 294 | 99.06 210 |
|
HPM-MVS++ | | | 98.10 146 | 97.64 174 | 99.48 47 | 99.09 157 | 99.13 44 | 97.52 185 | 98.75 237 | 97.46 162 | 96.90 261 | 97.83 253 | 96.01 178 | 99.84 106 | 95.82 208 | 99.35 198 | 99.46 115 |
|
CDS-MVSNet | | | 97.69 178 | 97.35 193 | 98.69 155 | 98.73 225 | 97.02 191 | 96.92 226 | 98.75 237 | 95.89 234 | 98.59 163 | 98.67 178 | 92.08 262 | 99.74 198 | 96.72 153 | 99.81 67 | 99.32 165 |
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022 |
无先验 | | | | | | | | 95.74 283 | 98.74 239 | 89.38 314 | | | | 99.73 203 | 92.38 290 | | 99.22 189 |
|
1121 | | | 96.73 234 | 96.00 244 | 98.91 126 | 98.95 185 | 97.76 150 | 98.07 122 | 98.73 240 | 87.65 320 | 96.54 274 | 98.13 232 | 94.52 225 | 99.73 203 | 92.38 290 | 99.02 246 | 99.24 184 |
|
MCST-MVS | | | 98.00 153 | 97.63 175 | 99.10 97 | 99.24 123 | 98.17 106 | 96.89 229 | 98.73 240 | 95.66 239 | 97.92 204 | 97.70 259 | 97.17 123 | 99.66 236 | 96.18 190 | 99.23 217 | 99.47 113 |
|
PAPR | | | 95.29 266 | 94.47 274 | 97.75 229 | 97.50 308 | 95.14 239 | 94.89 307 | 98.71 242 | 91.39 302 | 95.35 306 | 95.48 311 | 94.57 224 | 99.14 318 | 84.95 321 | 97.37 300 | 98.97 224 |
|
PMVS | | 91.26 20 | 97.86 164 | 97.94 153 | 97.65 234 | 99.71 30 | 97.94 135 | 98.52 84 | 98.68 243 | 98.99 67 | 97.52 233 | 99.35 57 | 97.41 108 | 98.18 330 | 91.59 299 | 99.67 131 | 96.82 314 |
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010) |
VNet | | | 98.42 116 | 98.30 117 | 98.79 142 | 98.79 219 | 97.29 173 | 98.23 107 | 98.66 244 | 99.31 38 | 98.85 136 | 98.80 161 | 94.80 220 | 99.78 176 | 98.13 73 | 99.13 235 | 99.31 169 |
|
test12 | | | | | 98.93 123 | 98.58 252 | 97.83 142 | | 98.66 244 | | 96.53 275 | | 95.51 199 | 99.69 218 | | 99.13 235 | 99.27 177 |
|
TSAR-MVS + GP. | | | 98.18 142 | 97.98 149 | 98.77 147 | 98.71 229 | 97.88 138 | 96.32 257 | 98.66 244 | 96.33 220 | 99.23 78 | 98.51 202 | 97.48 105 | 99.40 295 | 97.16 122 | 99.46 187 | 99.02 216 |
|
OpenMVS_ROB | | 95.38 14 | 95.84 257 | 95.18 266 | 97.81 225 | 98.41 266 | 97.15 186 | 97.37 194 | 98.62 247 | 83.86 326 | 98.65 156 | 98.37 216 | 94.29 231 | 99.68 224 | 88.41 314 | 98.62 270 | 96.60 317 |
|
MAR-MVS | | | 96.47 245 | 95.70 250 | 98.79 142 | 97.92 290 | 99.12 47 | 98.28 103 | 98.60 248 | 92.16 293 | 95.54 303 | 96.17 300 | 94.77 222 | 99.52 277 | 89.62 312 | 98.23 278 | 97.72 296 |
Zhenyu Xu, Yiguang Liu, Xuelei Shi, Ying Wang, Yunan Zheng: MARMVS: Matching Ambiguity Reduced Multiple View Stereo for Efficient Large Scale Scene Reconstruction. CVPR 2020 |
UGNet | | | 98.53 107 | 98.45 95 | 98.79 142 | 97.94 289 | 96.96 192 | 99.08 45 | 98.54 249 | 99.10 58 | 96.82 266 | 99.47 40 | 96.55 158 | 99.84 106 | 98.56 56 | 99.94 20 | 99.55 75 |
Wanjuan Su, Qingshan Xu, Wenbing Tao: Uncertainty-guided Multi-view Stereo Network for Depth Estimation. IEEE Transactions on Circuits and Systems for Video Technology, 2022 |
pmmvs4 | | | 97.58 187 | 97.28 196 | 98.51 180 | 98.84 209 | 96.93 194 | 95.40 296 | 98.52 250 | 93.60 276 | 98.61 160 | 98.65 183 | 95.10 210 | 99.60 252 | 96.97 134 | 99.79 77 | 98.99 219 |
|
API-MVS | | | 97.04 223 | 96.91 212 | 97.42 250 | 97.88 292 | 98.23 103 | 98.18 112 | 98.50 251 | 97.57 148 | 97.39 243 | 96.75 291 | 96.77 147 | 99.15 317 | 90.16 310 | 99.02 246 | 94.88 328 |
|
sss | | | 97.21 211 | 96.93 209 | 98.06 214 | 98.83 211 | 95.22 236 | 96.75 236 | 98.48 252 | 94.49 258 | 97.27 246 | 97.90 249 | 92.77 255 | 99.80 153 | 96.57 164 | 99.32 202 | 99.16 204 |
|
Vis-MVSNet (Re-imp) | | | 97.46 195 | 97.16 201 | 98.34 195 | 99.55 64 | 96.10 212 | 98.94 56 | 98.44 253 | 98.32 101 | 98.16 191 | 98.62 192 | 88.76 277 | 99.73 203 | 93.88 261 | 99.79 77 | 99.18 197 |
|
MDA-MVSNet_test_wron | | | 97.60 185 | 97.66 172 | 97.41 251 | 99.04 169 | 93.09 279 | 95.27 297 | 98.42 254 | 97.26 180 | 98.88 132 | 98.95 130 | 95.43 203 | 99.73 203 | 97.02 130 | 98.72 262 | 99.41 130 |
|
jason | | | 97.45 196 | 97.35 193 | 97.76 228 | 99.24 123 | 93.93 266 | 95.86 277 | 98.42 254 | 94.24 267 | 98.50 173 | 98.13 232 | 94.82 217 | 99.91 41 | 97.22 119 | 99.73 100 | 99.43 125 |
jason: jason. |
YYNet1 | | | 97.60 185 | 97.67 169 | 97.39 252 | 99.04 169 | 93.04 282 | 95.27 297 | 98.38 256 | 97.25 181 | 98.92 125 | 98.95 130 | 95.48 202 | 99.73 203 | 96.99 131 | 98.74 260 | 99.41 130 |
|
IS-MVSNet | | | 98.19 141 | 97.90 156 | 99.08 100 | 99.57 54 | 97.97 129 | 99.31 19 | 98.32 257 | 99.01 66 | 98.98 113 | 99.03 111 | 91.59 263 | 99.79 166 | 95.49 220 | 99.80 72 | 99.48 106 |
|
1314 | | | 95.74 258 | 95.60 254 | 96.17 283 | 97.53 304 | 92.75 285 | 98.07 122 | 98.31 258 | 91.22 303 | 94.25 315 | 96.68 292 | 95.53 197 | 99.03 319 | 91.64 298 | 97.18 305 | 96.74 315 |
|
DPM-MVS | | | 96.32 247 | 95.59 255 | 98.51 180 | 98.76 220 | 97.21 180 | 94.54 315 | 98.26 259 | 91.94 294 | 96.37 282 | 97.25 281 | 93.06 251 | 99.43 293 | 91.42 301 | 98.74 260 | 98.89 234 |
|
BH-untuned | | | 96.83 229 | 96.75 219 | 97.08 259 | 98.74 224 | 93.33 278 | 96.71 238 | 98.26 259 | 96.72 207 | 98.44 176 | 97.37 279 | 95.20 207 | 99.47 287 | 91.89 294 | 97.43 299 | 98.44 267 |
|
EU-MVSNet | | | 97.66 181 | 98.50 85 | 95.13 298 | 99.63 48 | 85.84 322 | 98.35 101 | 98.21 261 | 98.23 109 | 99.54 27 | 99.46 41 | 95.02 211 | 99.68 224 | 98.24 68 | 99.87 50 | 99.87 4 |
|
SixPastTwentyTwo | | | 98.75 68 | 98.62 71 | 99.16 88 | 99.83 16 | 97.96 132 | 99.28 28 | 98.20 262 | 99.37 34 | 99.70 16 | 99.65 20 | 92.65 256 | 99.93 25 | 99.04 30 | 99.84 54 | 99.60 45 |
|
new_pmnet | | | 96.99 225 | 96.76 218 | 97.67 232 | 98.72 226 | 94.89 243 | 95.95 273 | 98.20 262 | 92.62 287 | 98.55 168 | 98.54 200 | 94.88 216 | 99.52 277 | 93.96 258 | 99.44 190 | 98.59 261 |
|
CVMVSNet | | | 96.25 250 | 97.21 199 | 93.38 315 | 99.10 154 | 80.56 335 | 97.20 207 | 98.19 264 | 96.94 199 | 99.00 110 | 99.02 112 | 89.50 274 | 99.80 153 | 96.36 180 | 99.59 151 | 99.78 13 |
|
MG-MVS | | | 96.77 233 | 96.61 229 | 97.26 255 | 98.31 271 | 93.06 280 | 95.93 274 | 98.12 265 | 96.45 217 | 97.92 204 | 98.73 170 | 93.77 242 | 99.39 297 | 91.19 303 | 99.04 245 | 99.33 163 |
|
EPP-MVSNet | | | 98.30 128 | 98.04 145 | 99.07 102 | 99.56 61 | 97.83 142 | 99.29 24 | 98.07 266 | 99.03 64 | 98.59 163 | 99.13 92 | 92.16 260 | 99.90 44 | 96.87 142 | 99.68 125 | 99.49 100 |
|
MVS | | | 93.19 297 | 92.09 300 | 96.50 276 | 96.91 318 | 94.03 262 | 98.07 122 | 98.06 267 | 68.01 331 | 94.56 313 | 96.48 296 | 95.96 185 | 99.30 308 | 83.84 323 | 96.89 310 | 96.17 320 |
|
MVS_0304 | | | 97.64 182 | 97.35 193 | 98.52 177 | 97.87 293 | 96.69 202 | 98.59 77 | 98.05 268 | 97.44 165 | 93.74 323 | 98.85 150 | 93.69 244 | 99.88 61 | 98.11 74 | 99.81 67 | 98.98 220 |
|
lupinMVS | | | 97.06 221 | 96.86 214 | 97.65 234 | 98.88 202 | 93.89 270 | 95.48 293 | 97.97 269 | 93.53 277 | 98.16 191 | 97.58 265 | 93.81 239 | 99.91 41 | 96.77 148 | 99.57 161 | 99.17 201 |
|
GA-MVS | | | 95.86 256 | 95.32 262 | 97.49 246 | 98.60 250 | 94.15 260 | 93.83 322 | 97.93 270 | 95.49 243 | 96.68 269 | 97.42 276 | 83.21 308 | 99.30 308 | 96.22 186 | 98.55 273 | 99.01 217 |
|
WTY-MVS | | | 96.67 237 | 96.27 242 | 97.87 222 | 98.81 216 | 94.61 251 | 96.77 234 | 97.92 271 | 94.94 252 | 97.12 247 | 97.74 257 | 91.11 265 | 99.82 132 | 93.89 260 | 98.15 284 | 99.18 197 |
|
Patchmatch-test | | | 96.55 241 | 96.34 238 | 97.17 258 | 98.35 268 | 93.06 280 | 98.40 97 | 97.79 272 | 97.33 174 | 98.41 179 | 98.67 178 | 83.68 307 | 99.69 218 | 95.16 224 | 99.31 204 | 98.77 249 |
|
ADS-MVSNet2 | | | 95.43 265 | 94.98 269 | 96.76 273 | 98.14 281 | 91.74 295 | 97.92 140 | 97.76 273 | 90.23 307 | 96.51 277 | 98.91 135 | 85.61 292 | 99.85 90 | 92.88 280 | 96.90 308 | 98.69 256 |
|
PVSNet | | 93.40 17 | 95.67 259 | 95.70 250 | 95.57 294 | 98.83 211 | 88.57 311 | 92.50 328 | 97.72 274 | 92.69 286 | 96.49 280 | 96.44 298 | 93.72 243 | 99.43 293 | 93.61 267 | 99.28 210 | 98.71 253 |
|
pmmvs3 | | | 95.03 271 | 94.40 276 | 96.93 264 | 97.70 298 | 92.53 287 | 95.08 303 | 97.71 275 | 88.57 317 | 97.71 218 | 98.08 240 | 79.39 322 | 99.82 132 | 96.19 188 | 99.11 239 | 98.43 268 |
|
alignmvs | | | 97.35 200 | 96.88 213 | 98.78 145 | 98.54 256 | 98.09 111 | 97.71 163 | 97.69 276 | 99.20 46 | 97.59 226 | 95.90 304 | 88.12 279 | 99.55 268 | 98.18 72 | 98.96 253 | 98.70 255 |
|
tpm cat1 | | | 93.29 296 | 93.13 294 | 93.75 310 | 97.39 310 | 84.74 326 | 97.39 193 | 97.65 277 | 83.39 328 | 94.16 316 | 98.41 212 | 82.86 311 | 99.39 297 | 91.56 300 | 95.35 321 | 97.14 310 |
|
PVSNet_0 | | 89.98 21 | 91.15 306 | 90.30 308 | 93.70 311 | 97.72 295 | 84.34 330 | 90.24 331 | 97.42 278 | 90.20 310 | 93.79 321 | 93.09 330 | 90.90 266 | 98.89 326 | 86.57 319 | 72.76 333 | 97.87 286 |
|
BH-w/o | | | 95.13 269 | 94.89 272 | 95.86 287 | 98.20 278 | 91.31 302 | 95.65 286 | 97.37 279 | 93.64 275 | 96.52 276 | 95.70 307 | 93.04 252 | 99.02 320 | 88.10 315 | 95.82 318 | 97.24 309 |
|
test_yl | | | 96.69 235 | 96.29 240 | 97.90 220 | 98.28 272 | 95.24 234 | 97.29 199 | 97.36 280 | 98.21 110 | 98.17 189 | 97.86 250 | 86.27 285 | 99.55 268 | 94.87 230 | 98.32 276 | 98.89 234 |
|
DCV-MVSNet | | | 96.69 235 | 96.29 240 | 97.90 220 | 98.28 272 | 95.24 234 | 97.29 199 | 97.36 280 | 98.21 110 | 98.17 189 | 97.86 250 | 86.27 285 | 99.55 268 | 94.87 230 | 98.32 276 | 98.89 234 |
|
BH-RMVSNet | | | 96.83 229 | 96.58 231 | 97.58 240 | 98.47 261 | 94.05 261 | 96.67 240 | 97.36 280 | 96.70 210 | 97.87 207 | 97.98 245 | 95.14 209 | 99.44 292 | 90.47 309 | 98.58 272 | 99.25 181 |
|
ADS-MVSNet | | | 95.24 268 | 94.93 271 | 96.18 282 | 98.14 281 | 90.10 309 | 97.92 140 | 97.32 283 | 90.23 307 | 96.51 277 | 98.91 135 | 85.61 292 | 99.74 198 | 92.88 280 | 96.90 308 | 98.69 256 |
|
VDDNet | | | 98.21 139 | 97.95 151 | 99.01 115 | 99.58 50 | 97.74 153 | 99.01 49 | 97.29 284 | 99.67 10 | 98.97 116 | 99.50 35 | 90.45 267 | 99.80 153 | 97.88 88 | 99.20 221 | 99.48 106 |
|
PAPM | | | 91.88 305 | 90.34 307 | 96.51 275 | 98.06 285 | 92.56 286 | 92.44 329 | 97.17 285 | 86.35 322 | 90.38 330 | 96.01 301 | 86.61 283 | 99.21 313 | 70.65 333 | 95.43 320 | 97.75 294 |
|
FPMVS | | | 93.44 295 | 92.23 299 | 97.08 259 | 99.25 122 | 97.86 140 | 95.61 287 | 97.16 286 | 92.90 283 | 93.76 322 | 98.65 183 | 75.94 330 | 95.66 332 | 79.30 331 | 97.49 297 | 97.73 295 |
|
E-PMN | | | 94.17 283 | 94.37 277 | 93.58 312 | 96.86 319 | 85.71 324 | 90.11 332 | 97.07 287 | 98.17 116 | 97.82 212 | 97.19 282 | 84.62 299 | 98.94 323 | 89.77 311 | 97.68 296 | 96.09 324 |
|
VDD-MVS | | | 98.56 98 | 98.39 105 | 99.07 102 | 99.13 151 | 98.07 117 | 98.59 77 | 97.01 288 | 99.59 20 | 99.11 89 | 99.27 66 | 94.82 217 | 99.79 166 | 98.34 65 | 99.63 141 | 99.34 157 |
|
DI_MVS_plusplus_test | | | 97.57 188 | 97.40 188 | 98.07 213 | 99.06 165 | 95.71 223 | 96.58 244 | 96.96 289 | 96.71 209 | 98.69 152 | 98.13 232 | 93.81 239 | 99.68 224 | 97.45 108 | 99.19 225 | 98.80 246 |
|
tpmrst | | | 95.07 270 | 95.46 257 | 93.91 309 | 97.11 315 | 84.36 329 | 97.62 172 | 96.96 289 | 94.98 250 | 96.35 283 | 98.80 161 | 85.46 294 | 99.59 256 | 95.60 216 | 96.23 316 | 97.79 293 |
|
wuyk23d | | | 96.06 252 | 97.62 176 | 91.38 318 | 98.65 247 | 98.57 80 | 98.85 63 | 96.95 291 | 96.86 203 | 99.90 4 | 99.16 85 | 99.18 12 | 98.40 329 | 89.23 313 | 99.77 85 | 77.18 332 |
|
HY-MVS | | 95.94 13 | 95.90 255 | 95.35 261 | 97.55 242 | 97.95 288 | 94.79 244 | 98.81 65 | 96.94 292 | 92.28 291 | 95.17 307 | 98.57 198 | 89.90 271 | 99.75 194 | 91.20 302 | 97.33 304 | 98.10 279 |
|
MIMVSNet | | | 96.62 240 | 96.25 243 | 97.71 231 | 99.04 169 | 94.66 249 | 99.16 39 | 96.92 293 | 97.23 187 | 97.87 207 | 99.10 96 | 86.11 289 | 99.65 241 | 91.65 297 | 99.21 220 | 98.82 241 |
|
RPMNet | | | 96.82 231 | 96.66 226 | 97.28 253 | 97.71 296 | 94.22 256 | 98.11 119 | 96.90 294 | 99.37 34 | 96.91 258 | 99.34 59 | 86.72 282 | 99.81 144 | 97.53 105 | 97.36 302 | 97.81 290 |
|
SCA | | | 96.41 246 | 96.66 226 | 95.67 291 | 98.24 275 | 88.35 313 | 95.85 279 | 96.88 295 | 96.11 227 | 97.67 221 | 98.67 178 | 93.10 249 | 99.85 90 | 94.16 249 | 99.22 218 | 98.81 242 |
|
tpmvs | | | 95.02 272 | 95.25 263 | 94.33 305 | 96.39 327 | 85.87 321 | 98.08 121 | 96.83 296 | 95.46 244 | 95.51 304 | 98.69 174 | 85.91 290 | 99.53 273 | 94.16 249 | 96.23 316 | 97.58 302 |
|
PatchmatchNet | | | 95.58 261 | 95.67 252 | 95.30 297 | 97.34 311 | 87.32 317 | 97.65 170 | 96.65 297 | 95.30 246 | 97.07 250 | 98.69 174 | 84.77 297 | 99.75 194 | 94.97 228 | 98.64 268 | 98.83 240 |
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo. |
PatchT | | | 96.65 238 | 96.35 237 | 97.54 243 | 97.40 309 | 95.32 233 | 97.98 136 | 96.64 298 | 99.33 37 | 96.89 262 | 99.42 48 | 84.32 302 | 99.81 144 | 97.69 101 | 97.49 297 | 97.48 305 |
|
PatchFormer-LS_test | | | 94.08 286 | 93.91 281 | 94.59 303 | 96.93 317 | 86.86 319 | 97.55 182 | 96.57 299 | 94.27 266 | 94.38 314 | 93.64 329 | 80.96 314 | 99.59 256 | 96.44 177 | 94.48 326 | 97.31 308 |
|
TR-MVS | | | 95.55 262 | 95.12 267 | 96.86 271 | 97.54 303 | 93.94 265 | 96.49 248 | 96.53 300 | 94.36 265 | 97.03 253 | 96.61 293 | 94.26 232 | 99.16 316 | 86.91 318 | 96.31 315 | 97.47 306 |
|
dp | | | 93.47 294 | 93.59 287 | 93.13 317 | 96.64 322 | 81.62 334 | 97.66 168 | 96.42 301 | 92.80 285 | 96.11 286 | 98.64 186 | 78.55 327 | 99.59 256 | 93.31 275 | 92.18 331 | 98.16 277 |
|
EMVS | | | 93.83 290 | 94.02 280 | 93.23 316 | 96.83 321 | 84.96 325 | 89.77 333 | 96.32 302 | 97.92 125 | 97.43 241 | 96.36 299 | 86.17 287 | 98.93 324 | 87.68 316 | 97.73 295 | 95.81 325 |
|
Anonymous202405211 | | | 97.90 158 | 97.50 182 | 99.08 100 | 98.90 196 | 98.25 98 | 98.53 83 | 96.16 303 | 98.87 77 | 99.11 89 | 98.86 147 | 90.40 268 | 99.78 176 | 97.36 113 | 99.31 204 | 99.19 195 |
|
MDTV_nov1_ep13 | | | | 95.22 264 | | 97.06 316 | 83.20 331 | 97.74 161 | 96.16 303 | 94.37 264 | 96.99 254 | 98.83 156 | 83.95 305 | 99.53 273 | 93.90 259 | 97.95 292 | |
|
baseline1 | | | 95.96 254 | 95.44 258 | 97.52 245 | 98.51 259 | 93.99 264 | 98.39 98 | 96.09 305 | 98.21 110 | 98.40 183 | 97.76 256 | 86.88 281 | 99.63 244 | 95.42 221 | 89.27 332 | 98.95 225 |
|
CostFormer | | | 93.97 288 | 93.78 284 | 94.51 304 | 97.53 304 | 85.83 323 | 97.98 136 | 95.96 306 | 89.29 315 | 94.99 310 | 98.63 190 | 78.63 325 | 99.62 246 | 94.54 237 | 96.50 313 | 98.09 280 |
|
JIA-IIPM | | | 95.52 263 | 95.03 268 | 97.00 261 | 96.85 320 | 94.03 262 | 96.93 224 | 95.82 307 | 99.20 46 | 94.63 312 | 99.71 13 | 83.09 309 | 99.60 252 | 94.42 243 | 94.64 323 | 97.36 307 |
|
tpm2 | | | 93.09 298 | 92.58 298 | 94.62 302 | 97.56 302 | 86.53 320 | 97.66 168 | 95.79 308 | 86.15 323 | 94.07 319 | 98.23 229 | 75.95 329 | 99.53 273 | 90.91 306 | 96.86 311 | 97.81 290 |
|
EPNet_dtu | | | 94.93 273 | 94.78 273 | 95.38 296 | 93.58 335 | 87.68 316 | 96.78 233 | 95.69 309 | 97.35 173 | 89.14 332 | 98.09 239 | 88.15 278 | 99.49 283 | 94.95 229 | 99.30 207 | 98.98 220 |
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
DWT-MVSNet_test | | | 92.75 299 | 92.05 301 | 94.85 300 | 96.48 325 | 87.21 318 | 97.83 151 | 94.99 310 | 92.22 292 | 92.72 325 | 94.11 327 | 70.75 334 | 99.46 289 | 95.01 226 | 94.33 327 | 97.87 286 |
|
tpm | | | 94.67 275 | 94.34 278 | 95.66 292 | 97.68 300 | 88.42 312 | 97.88 144 | 94.90 311 | 94.46 260 | 96.03 291 | 98.56 199 | 78.66 324 | 99.79 166 | 95.88 201 | 95.01 322 | 98.78 248 |
|
EPNet | | | 96.14 251 | 95.44 258 | 98.25 202 | 90.76 336 | 95.50 228 | 97.92 140 | 94.65 312 | 98.97 70 | 92.98 324 | 98.85 150 | 89.12 276 | 99.87 75 | 95.99 197 | 99.68 125 | 99.39 137 |
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
thres200 | | | 93.72 292 | 93.14 293 | 95.46 295 | 98.66 246 | 91.29 303 | 96.61 243 | 94.63 313 | 97.39 169 | 96.83 265 | 93.71 328 | 79.88 317 | 99.56 265 | 82.40 327 | 98.13 285 | 95.54 327 |
|
DeepMVS_CX | | | | | 93.44 314 | 98.24 275 | 94.21 258 | | 94.34 314 | 64.28 332 | 91.34 329 | 94.87 322 | 89.45 275 | 92.77 335 | 77.54 332 | 93.14 329 | 93.35 330 |
|
tfpn200view9 | | | 94.03 287 | 93.44 288 | 95.78 289 | 98.93 188 | 91.44 299 | 97.60 175 | 94.29 315 | 97.94 123 | 97.10 248 | 94.31 325 | 79.67 320 | 99.62 246 | 83.05 324 | 98.08 288 | 96.29 318 |
|
thres400 | | | 94.14 284 | 93.44 288 | 96.24 281 | 98.93 188 | 91.44 299 | 97.60 175 | 94.29 315 | 97.94 123 | 97.10 248 | 94.31 325 | 79.67 320 | 99.62 246 | 83.05 324 | 98.08 288 | 97.66 299 |
|
thres100view900 | | | 94.19 282 | 93.67 286 | 95.75 290 | 99.06 165 | 91.35 301 | 98.03 129 | 94.24 317 | 98.33 100 | 97.40 242 | 94.98 318 | 79.84 318 | 99.62 246 | 83.05 324 | 98.08 288 | 96.29 318 |
|
thres600view7 | | | 94.45 277 | 93.83 283 | 96.29 279 | 99.06 165 | 91.53 297 | 97.99 135 | 94.24 317 | 98.34 99 | 97.44 240 | 95.01 316 | 79.84 318 | 99.67 228 | 84.33 322 | 98.23 278 | 97.66 299 |
|
LFMVS | | | 97.20 212 | 96.72 220 | 98.64 158 | 98.72 226 | 96.95 193 | 98.93 57 | 94.14 319 | 99.74 7 | 98.78 144 | 99.01 116 | 84.45 300 | 99.73 203 | 97.44 109 | 99.27 211 | 99.25 181 |
|
test0.0.03 1 | | | 94.51 276 | 93.69 285 | 96.99 262 | 96.05 329 | 93.61 277 | 94.97 305 | 93.49 320 | 96.17 224 | 97.57 229 | 94.88 320 | 82.30 312 | 99.01 322 | 93.60 268 | 94.17 328 | 98.37 272 |
|
N_pmnet | | | 97.63 184 | 97.17 200 | 98.99 117 | 99.27 118 | 97.86 140 | 95.98 268 | 93.41 321 | 95.25 247 | 99.47 39 | 98.90 138 | 95.63 194 | 99.85 90 | 96.91 136 | 99.73 100 | 99.27 177 |
|
IB-MVS | | 91.63 19 | 92.24 303 | 90.90 306 | 96.27 280 | 97.22 314 | 91.24 305 | 94.36 317 | 93.33 322 | 92.37 289 | 92.24 327 | 94.58 324 | 66.20 339 | 99.89 53 | 93.16 277 | 94.63 324 | 97.66 299 |
Christian Sormann, Mattia Rossi, Andreas Kuhn and Friedrich Fraundorfer: IB-MVS: An Iterative Algorithm for Deep Multi-View Stereo based on Binary Decisions. BMVC 2021 |
ET-MVSNet_ETH3D | | | 94.30 281 | 93.21 291 | 97.58 240 | 98.14 281 | 94.47 253 | 94.78 309 | 93.24 323 | 94.72 256 | 89.56 331 | 95.87 305 | 78.57 326 | 99.81 144 | 96.91 136 | 97.11 307 | 98.46 264 |
|
K. test v3 | | | 98.00 153 | 97.66 172 | 99.03 111 | 99.79 20 | 97.56 162 | 99.19 37 | 92.47 324 | 99.62 17 | 99.52 32 | 99.66 18 | 89.61 272 | 99.96 8 | 99.25 21 | 99.81 67 | 99.56 67 |
|
test-LLR | | | 93.90 289 | 93.85 282 | 94.04 307 | 96.53 323 | 84.62 327 | 94.05 319 | 92.39 325 | 96.17 224 | 94.12 317 | 95.07 314 | 82.30 312 | 99.67 228 | 95.87 204 | 98.18 281 | 97.82 288 |
|
test-mter | | | 92.33 302 | 91.76 304 | 94.04 307 | 96.53 323 | 84.62 327 | 94.05 319 | 92.39 325 | 94.00 272 | 94.12 317 | 95.07 314 | 65.63 340 | 99.67 228 | 95.87 204 | 98.18 281 | 97.82 288 |
|
MTMP | | | | | | | | 97.93 139 | 91.91 327 | | | | | | | | |
|
TESTMET0.1,1 | | | 92.19 304 | 91.77 303 | 93.46 313 | 96.48 325 | 82.80 332 | 94.05 319 | 91.52 328 | 94.45 262 | 94.00 320 | 94.88 320 | 66.65 338 | 99.56 265 | 95.78 209 | 98.11 286 | 98.02 282 |
|
thisisatest0515 | | | 94.12 285 | 93.16 292 | 96.97 263 | 98.60 250 | 92.90 283 | 93.77 323 | 90.61 329 | 94.10 270 | 96.91 258 | 95.87 305 | 74.99 331 | 99.80 153 | 94.52 238 | 99.12 238 | 98.20 275 |
|
tttt0517 | | | 95.64 260 | 94.98 269 | 97.64 236 | 99.36 106 | 93.81 272 | 98.72 68 | 90.47 330 | 98.08 120 | 98.67 154 | 98.34 219 | 73.88 332 | 99.92 31 | 97.77 93 | 99.51 178 | 99.20 190 |
|
thisisatest0530 | | | 95.27 267 | 94.45 275 | 97.74 230 | 99.19 134 | 94.37 254 | 97.86 147 | 90.20 331 | 97.17 191 | 98.22 188 | 97.65 261 | 73.53 333 | 99.90 44 | 96.90 139 | 99.35 198 | 98.95 225 |
|
baseline2 | | | 93.73 291 | 92.83 296 | 96.42 277 | 97.70 298 | 91.28 304 | 96.84 231 | 89.77 332 | 93.96 273 | 92.44 326 | 95.93 303 | 79.14 323 | 99.77 182 | 92.94 278 | 96.76 312 | 98.21 274 |
|
MVS-HIRNet | | | 94.32 279 | 95.62 253 | 90.42 319 | 98.46 262 | 75.36 336 | 96.29 258 | 89.13 333 | 95.25 247 | 95.38 305 | 99.75 8 | 92.88 254 | 99.19 314 | 94.07 256 | 99.39 194 | 96.72 316 |
|
lessismore_v0 | | | | | 98.97 118 | 99.73 24 | 97.53 164 | | 86.71 334 | | 99.37 53 | 99.52 34 | 89.93 270 | 99.92 31 | 98.99 33 | 99.72 106 | 99.44 121 |
|
EPMVS | | | 93.72 292 | 93.27 290 | 95.09 299 | 96.04 330 | 87.76 315 | 98.13 116 | 85.01 335 | 94.69 257 | 96.92 256 | 98.64 186 | 78.47 328 | 99.31 306 | 95.04 225 | 96.46 314 | 98.20 275 |
|
MVE | | 83.40 22 | 92.50 300 | 91.92 302 | 94.25 306 | 98.83 211 | 91.64 296 | 92.71 327 | 83.52 336 | 95.92 233 | 86.46 335 | 95.46 312 | 95.20 207 | 95.40 333 | 80.51 329 | 98.64 268 | 95.73 326 |
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014) |
gg-mvs-nofinetune | | | 92.37 301 | 91.20 305 | 95.85 288 | 95.80 332 | 92.38 290 | 99.31 19 | 81.84 337 | 99.75 6 | 91.83 328 | 99.74 9 | 68.29 336 | 99.02 320 | 87.15 317 | 97.12 306 | 96.16 321 |
|
GG-mvs-BLEND | | | | | 94.76 301 | 94.54 334 | 92.13 293 | 99.31 19 | 80.47 338 | | 88.73 333 | 91.01 332 | 67.59 337 | 98.16 331 | 82.30 328 | 94.53 325 | 93.98 329 |
|
tmp_tt | | | 78.77 307 | 78.73 309 | 78.90 320 | 58.45 337 | 74.76 338 | 94.20 318 | 78.26 339 | 39.16 333 | 86.71 334 | 92.82 331 | 80.50 316 | 75.19 336 | 86.16 320 | 92.29 330 | 86.74 331 |
|
testmvs | | | 17.12 309 | 20.53 311 | 6.87 322 | 12.05 338 | 4.20 340 | 93.62 324 | 6.73 340 | 4.62 335 | 10.41 336 | 24.33 334 | 8.28 342 | 3.56 338 | 9.69 335 | 15.07 334 | 12.86 334 |
|
test123 | | | 17.04 310 | 20.11 312 | 7.82 321 | 10.25 339 | 4.91 339 | 94.80 308 | 4.47 341 | 4.93 334 | 10.00 337 | 24.28 335 | 9.69 341 | 3.64 337 | 10.14 334 | 12.43 335 | 14.92 333 |
|
pcd_1.5k_mvsjas | | | 8.17 311 | 10.90 313 | 0.00 323 | 0.00 340 | 0.00 341 | 0.00 334 | 0.00 342 | 0.00 336 | 0.00 338 | 0.00 338 | 98.07 62 | 0.00 339 | 0.00 336 | 0.00 336 | 0.00 335 |
|
sosnet-low-res | | | 0.00 313 | 0.00 315 | 0.00 323 | 0.00 340 | 0.00 341 | 0.00 334 | 0.00 342 | 0.00 336 | 0.00 338 | 0.00 338 | 0.00 343 | 0.00 339 | 0.00 336 | 0.00 336 | 0.00 335 |
|
sosnet | | | 0.00 313 | 0.00 315 | 0.00 323 | 0.00 340 | 0.00 341 | 0.00 334 | 0.00 342 | 0.00 336 | 0.00 338 | 0.00 338 | 0.00 343 | 0.00 339 | 0.00 336 | 0.00 336 | 0.00 335 |
|
uncertanet | | | 0.00 313 | 0.00 315 | 0.00 323 | 0.00 340 | 0.00 341 | 0.00 334 | 0.00 342 | 0.00 336 | 0.00 338 | 0.00 338 | 0.00 343 | 0.00 339 | 0.00 336 | 0.00 336 | 0.00 335 |
|
Regformer | | | 0.00 313 | 0.00 315 | 0.00 323 | 0.00 340 | 0.00 341 | 0.00 334 | 0.00 342 | 0.00 336 | 0.00 338 | 0.00 338 | 0.00 343 | 0.00 339 | 0.00 336 | 0.00 336 | 0.00 335 |
|
n2 | | | | | | | | | 0.00 342 | | | | | | | | |
|
nn | | | | | | | | | 0.00 342 | | | | | | | | |
|
ab-mvs-re | | | 8.12 312 | 10.83 314 | 0.00 323 | 0.00 340 | 0.00 341 | 0.00 334 | 0.00 342 | 0.00 336 | 0.00 338 | 97.48 272 | 0.00 343 | 0.00 339 | 0.00 336 | 0.00 336 | 0.00 335 |
|
uanet | | | 0.00 313 | 0.00 315 | 0.00 323 | 0.00 340 | 0.00 341 | 0.00 334 | 0.00 342 | 0.00 336 | 0.00 338 | 0.00 338 | 0.00 343 | 0.00 339 | 0.00 336 | 0.00 336 | 0.00 335 |
|
save filter2 | | | | | | | | | | | 97.81 213 | 98.32 222 | 96.79 145 | 99.83 121 | 96.17 191 | 99.53 173 | 99.35 154 |
|
test_0728_THIRD | | | | | | | | | | 98.17 116 | 99.08 95 | 99.02 112 | 97.89 74 | 99.88 61 | 97.07 129 | 99.71 110 | 99.70 28 |
|
GSMVS | | | | | | | | | | | | | | | | | 98.81 242 |
|
test_part2 | | | | | | 99.36 106 | 99.10 50 | | | | 99.05 102 | | | | | | |
|
sam_mvs1 | | | | | | | | | | | | | 84.74 298 | | | | 98.81 242 |
|
sam_mvs | | | | | | | | | | | | | 84.29 304 | | | | |
|
test_post1 | | | | | | | | 97.59 177 | | | | 20.48 337 | 83.07 310 | 99.66 236 | 94.16 249 | | |
|
test_post | | | | | | | | | | | | 21.25 336 | 83.86 306 | 99.70 214 | | | |
|
patchmatchnet-post | | | | | | | | | | | | 98.77 166 | 84.37 301 | 99.85 90 | | | |
|
gm-plane-assit | | | | | | 94.83 333 | 81.97 333 | | | 88.07 319 | | 94.99 317 | | 99.60 252 | 91.76 295 | | |
|
test9_res | | | | | | | | | | | | | | | 93.28 276 | 99.15 231 | 99.38 143 |
|
agg_prior2 | | | | | | | | | | | | | | | 92.50 289 | 99.16 229 | 99.37 144 |
|
test_prior4 | | | | | | | 97.97 129 | 95.86 277 | | | | | | | | | |
|
test_prior2 | | | | | | | | 95.74 283 | | 96.48 215 | 96.11 286 | 97.63 263 | 95.92 187 | | 94.16 249 | 99.20 221 | |
|
旧先验2 | | | | | | | | 95.76 281 | | 88.56 318 | 97.52 233 | | | 99.66 236 | 94.48 239 | | |
|
新几何2 | | | | | | | | 95.93 274 | | | | | | | | | |
|
原ACMM2 | | | | | | | | 95.53 290 | | | | | | | | | |
|
testdata2 | | | | | | | | | | | | | | 99.79 166 | 92.80 284 | | |
|
segment_acmp | | | | | | | | | | | | | 97.02 130 | | | | |
|
testdata1 | | | | | | | | 95.44 295 | | 96.32 221 | | | | | | | |
|
plane_prior7 | | | | | | 99.19 134 | 97.87 139 | | | | | | | | | | |
|
plane_prior6 | | | | | | 98.99 179 | 97.70 156 | | | | | | 94.90 213 | | | | |
|
plane_prior4 | | | | | | | | | | | | 97.98 245 | | | | | |
|
plane_prior3 | | | | | | | 97.78 149 | | | 97.41 167 | 97.79 214 | | | | | | |
|
plane_prior2 | | | | | | | | 97.77 157 | | 98.20 113 | | | | | | | |
|
plane_prior1 | | | | | | 99.05 168 | | | | | | | | | | | |
|
plane_prior | | | | | | | 97.65 158 | 97.07 216 | | 96.72 207 | | | | | | 99.36 196 | |
|
HQP5-MVS | | | | | | | 96.79 197 | | | | | | | | | | |
|
HQP-NCC | | | | | | 98.67 241 | | 96.29 258 | | 96.05 229 | 95.55 300 | | | | | | |
|
ACMP_Plane | | | | | | 98.67 241 | | 96.29 258 | | 96.05 229 | 95.55 300 | | | | | | |
|
BP-MVS | | | | | | | | | | | | | | | 92.82 282 | | |
|
HQP4-MVS | | | | | | | | | | | 95.56 299 | | | 99.54 271 | | | 99.32 165 |
|
HQP2-MVS | | | | | | | | | | | | | 93.84 237 | | | | |
|
NP-MVS | | | | | | 98.84 209 | 97.39 171 | | | | | 96.84 289 | | | | | |
|
MDTV_nov1_ep13_2view | | | | | | | 74.92 337 | 97.69 165 | | 90.06 312 | 97.75 217 | | 85.78 291 | | 93.52 270 | | 98.69 256 |
|
ACMMP++_ref | | | | | | | | | | | | | | | | 99.77 85 | |
|
ACMMP++ | | | | | | | | | | | | | | | | 99.68 125 | |
|
Test By Simon | | | | | | | | | | | | | 96.52 159 | | | | |
|