+
−
⇧
i
D
T
delivery_area (high-res multi-view) - Tolerance 1cm
Ground Truth (full)
Ground Truth (dslr eval)
3Dnovator
3Dnovator - accuracy (70.50%)
3Dnovator - completeness (79.03%)
3Dnovator+
3Dnovator+ - accuracy (81.34%)
3Dnovator+ - completeness (72.15%)
ACMH
ACMH - accuracy (72.40%)
ACMH - completeness (66.99%)
ACMH+
ACMH+ - accuracy (76.41%)
ACMH+ - completeness (62.01%)
ACMM
ACMM - accuracy (78.59%)
ACMM - completeness (66.45%)
ACMMP
ACMMP - accuracy (82.01%)
ACMMP - completeness (72.30%)
ACMMPR
ACMMPR - accuracy (81.92%)
ACMMPR - completeness (74.04%)
ACMMP_NAP
ACMMP_NAP - accuracy (79.68%)
ACMMP_NAP - completeness (79.26%)
ACMP
ACMP - accuracy (81.00%)
ACMP - completeness (68.88%)
AdaColmap
AdaColmap - accuracy (75.76%)
AdaColmap - completeness (72.90%)
ADS-MVSNet
ADS-MVSNet - accuracy (30.42%)
ADS-MVSNet - completeness (57.52%)
ambc
ambc - accuracy (75.48%)
ambc - completeness (40.40%)
Anonymous20231206
Anonymous20231206 - accuracy (43.65%)
Anonymous20231206 - completeness (55.81%)
Anonymous202405211
Anonymous202405211 - accuracy (61.09%)
Anonymous202405211 - completeness (73.48%)
anonymousdsp
anonymousdsp - accuracy (61.13%)
anonymousdsp - completeness (56.92%)
APD-MVS
APD-MVS - accuracy (81.48%)
APD-MVS - completeness (75.69%)
APDe-MVS
APDe-MVS - accuracy (80.91%)
APDe-MVS - completeness (80.20%)
baseline1
baseline1 - accuracy (50.01%)
baseline1 - completeness (69.86%)
baseline2
baseline2 - accuracy (51.95%)
baseline2 - completeness (74.12%)
Baseline_NR-MVSNet
Baseline_NR-MVSNet - accuracy (55.67%)
Baseline_NR-MVSNet - completeness (63.31%)
CANet
CANet - accuracy (71.53%)
CANet - completeness (79.25%)
CANet_DTU
CANet_DTU - accuracy (63.62%)
CANet_DTU - completeness (70.20%)
canonicalmvs
canonicalmvs - accuracy (65.06%)
canonicalmvs - completeness (78.26%)
casdiffmvs
casdiffmvs - accuracy (60.61%)
casdiffmvs - completeness (78.29%)
CDPH-MVS
CDPH-MVS - accuracy (77.46%)
CDPH-MVS - completeness (76.84%)
CDS-MVSNet
CDS-MVSNet - accuracy (53.17%)
CDS-MVSNet - completeness (64.53%)
CHOSEN 1792x2688
CHOSEN 1792x2688 - accuracy (50.10%)
CHOSEN 1792x2688 - completeness (84.18%)
CHOSEN 280x420
CHOSEN 280x420 - accuracy (23.58%)
CHOSEN 280x420 - completeness (39.66%)
CLD-MVS
CLD-MVS - accuracy (71.60%)
CLD-MVS - completeness (78.33%)
CMPMVS
CMPMVS - accuracy (46.86%)
CMPMVS - completeness (56.50%)
CNLPA
CNLPA - accuracy (76.68%)
CNLPA - completeness (61.75%)
CNVR-MVS
CNVR-MVS - accuracy (75.91%)
CNVR-MVS - completeness (81.97%)
COLMAP_ROB
COLMAP_ROB - accuracy (82.76%)
COLMAP_ROB - completeness (49.22%)
CostFormer
CostFormer - accuracy (50.40%)
CostFormer - completeness (77.65%)
CP-MVS
CP-MVS - accuracy (79.66%)
CP-MVS - completeness (71.81%)
CP-MVSNet
CP-MVSNet - accuracy (72.72%)
CP-MVSNet - completeness (48.25%)
CPTT-MVS
CPTT-MVS - accuracy (80.86%)
CPTT-MVS - completeness (67.63%)
CR-MVSNet
CR-MVSNet - accuracy (50.23%)
CR-MVSNet - completeness (55.95%)
CS-MVS
CS-MVS - accuracy (61.63%)
CS-MVS - completeness (75.48%)
CSCG
CSCG - accuracy (78.35%)
CSCG - completeness (81.74%)
CVMVSNet
CVMVSNet - accuracy (53.75%)
CVMVSNet - completeness (47.20%)
DCV-MVSNet
DCV-MVSNet - accuracy (62.09%)
DCV-MVSNet - completeness (66.74%)
DeepC-MVS
DeepC-MVS - accuracy (84.34%)
DeepC-MVS - completeness (74.84%)
DeepC-MVS_fast
DeepC-MVS_fast - accuracy (82.23%)
DeepC-MVS_fast - completeness (73.21%)
DeepMVS_CX
DeepMVS_CX - accuracy (8.52%)
DeepMVS_CX - completeness (5.87%)
DeepPCF-MVS
DeepPCF-MVS - accuracy (80.88%)
DeepPCF-MVS - completeness (76.96%)
DELS-MVS
DELS-MVS - accuracy (65.55%)
DELS-MVS - completeness (81.55%)
diffmvs
diffmvs - accuracy (55.06%)
diffmvs - completeness (75.60%)
DPE-MVS
DPE-MVS - accuracy (80.64%)
DPE-MVS - completeness (82.01%)
DPM-MVS
DPM-MVS - accuracy (73.35%)
DPM-MVS - completeness (82.56%)
dps
dps - accuracy (47.00%)
dps - completeness (69.49%)
DTE-MVSNet
DTE-MVSNet - accuracy (72.70%)
DTE-MVSNet - completeness (47.55%)
DU-MVS
DU-MVS - accuracy (65.48%)
DU-MVS - completeness (60.64%)
DVP-MVS
DVP-MVS - accuracy (78.39%)
DVP-MVS - completeness (86.08%)
E-PMN
E-PMN - accuracy (31.86%)
E-PMN - completeness (7.87%)
Effi-MVS+
Effi-MVS+ - accuracy (64.83%)
Effi-MVS+ - completeness (71.63%)
Effi-MVS+-dtu
Effi-MVS+-dtu - accuracy (74.92%)
Effi-MVS+-dtu - completeness (61.33%)
EG-PatchMatch MVS
EG-PatchMatch MVS - accuracy (66.50%)
EG-PatchMatch MVS - completeness (70.88%)
EIA-MVS
EIA-MVS - accuracy (63.20%)
EIA-MVS - completeness (72.68%)
EMVS
EMVS - accuracy (32.70%)
EMVS - completeness (7.77%)
EPMVS
EPMVS - accuracy (32.65%)
EPMVS - completeness (70.80%)
EPNet
EPNet - accuracy (61.13%)
EPNet - completeness (75.77%)
EPNet_dtu
EPNet_dtu - accuracy (44.63%)
EPNet_dtu - completeness (57.06%)
EPP-MVSNet
EPP-MVSNet - accuracy (66.60%)
EPP-MVSNet - completeness (68.84%)
ET-MVSNet_ETH3D
ET-MVSNet_ETH3D - accuracy (58.05%)
ET-MVSNet_ETH3D - completeness (74.53%)
ETV-MVS
ETV-MVS - accuracy (62.49%)
ETV-MVS - completeness (74.89%)
EU-MVSNet
EU-MVSNet - accuracy (51.86%)
EU-MVSNet - completeness (42.86%)
Fast-Effi-MVS+
Fast-Effi-MVS+ - accuracy (63.68%)
Fast-Effi-MVS+ - completeness (68.19%)
Fast-Effi-MVS+-dtu
Fast-Effi-MVS+-dtu - accuracy (64.70%)
Fast-Effi-MVS+-dtu - completeness (65.07%)
FC-MVSNet-test
FC-MVSNet-test - accuracy (47.12%)
FC-MVSNet-test - completeness (33.68%)
FC-MVSNet-train
FC-MVSNet-train - accuracy (58.05%)
FC-MVSNet-train - completeness (66.16%)
FMVSNet1
FMVSNet1 - accuracy (59.29%)
FMVSNet1 - completeness (63.56%)
FMVSNet2
FMVSNet2 - accuracy (57.61%)
FMVSNet2 - completeness (65.81%)
FMVSNet3
FMVSNet3 - accuracy (56.88%)
FMVSNet3 - completeness (66.49%)
FMVSNet5
FMVSNet5 - accuracy (39.56%)
FMVSNet5 - completeness (50.99%)
FPMVS
FPMVS - accuracy (61.42%)
FPMVS - completeness (29.49%)
GA-MVS
GA-MVS - accuracy (57.45%)
GA-MVS - completeness (69.96%)
GBi-Net
GBi-Net - accuracy (57.61%)
GBi-Net - completeness (65.81%)
GG-mvs-BLEND
GG-mvs-BLEND - accuracy (48.65%)
GG-mvs-BLEND - completeness (73.70%)
gg-mvs-nofinetune
gg-mvs-nofinetune - accuracy (49.40%)
gg-mvs-nofinetune - completeness (75.69%)
Gipuma
Gipuma - accuracy (59.35%)
Gipuma - completeness (12.15%)
gm-plane-assit
gm-plane-assit - accuracy (55.45%)
gm-plane-assit - completeness (40.48%)
HFP-MVS
HFP-MVS - accuracy (80.96%)
HFP-MVS - completeness (75.09%)
HPM-MVS++
HPM-MVS++ - accuracy (72.76%)
HPM-MVS++ - completeness (77.31%)
HQP-MVS
HQP-MVS - accuracy (75.38%)
HQP-MVS - completeness (73.58%)
HyFIR lowres test
HyFIR lowres test - accuracy (62.59%)
HyFIR lowres test - completeness (77.55%)
IB-MVS
IB-MVS - accuracy (60.85%)
IB-MVS - completeness (77.11%)
IS_MVSNet
IS_MVSNet - accuracy (64.36%)
IS_MVSNet - completeness (66.16%)
IterMVS
IterMVS - accuracy (61.29%)
IterMVS - completeness (60.58%)
IterMVS-LS
IterMVS-LS - accuracy (57.78%)
IterMVS-LS - completeness (59.04%)
IterMVS-SCA-FT
IterMVS-SCA-FT - accuracy (64.92%)
IterMVS-SCA-FT - completeness (59.43%)
LGP-MVS_train
LGP-MVS_train - accuracy (81.03%)
LGP-MVS_train - completeness (68.15%)
LS3D
LS3D - accuracy (78.09%)
LS3D - completeness (59.86%)
LTVRE_ROB
LTVRE_ROB - accuracy (70.27%)
LTVRE_ROB - completeness (49.99%)
MAR-MVS
MAR-MVS - accuracy (72.57%)
MAR-MVS - completeness (80.51%)
MCST-MVS
MCST-MVS - accuracy (74.73%)
MCST-MVS - completeness (81.99%)
MDA-MVSNet-bldmvs
MDA-MVSNet-bldmvs - accuracy (56.10%)
MDA-MVSNet-bldmvs - completeness (49.66%)
MDTV_nov1_ep13
MDTV_nov1_ep13 - accuracy (44.61%)
MDTV_nov1_ep13 - completeness (70.69%)
MDTV_nov1_ep13_2view
MDTV_nov1_ep13_2view - accuracy (46.56%)
MDTV_nov1_ep13_2view - completeness (63.43%)
MIMVSNet
MIMVSNet - accuracy (39.50%)
MIMVSNet - completeness (64.43%)
MIMVSNet1
MIMVSNet1 - accuracy (42.81%)
MIMVSNet1 - completeness (43.94%)
MP-MVS
MP-MVS - accuracy (80.60%)
MP-MVS - completeness (76.62%)
MS-PatchMatch
MS-PatchMatch - accuracy (55.53%)
MS-PatchMatch - completeness (75.98%)
MSDG
MSDG - accuracy (68.27%)
MSDG - completeness (64.31%)
MSLP-MVS++
MSLP-MVS++ - accuracy (80.27%)
MSLP-MVS++ - completeness (63.08%)
MSP-MVS
MSP-MVS - accuracy (81.86%)
MSP-MVS - completeness (78.65%)
MVE
MVE - accuracy (19.75%)
MVE - completeness (13.04%)
MVS-HIRNet
MVS-HIRNet - accuracy (31.03%)
MVS-HIRNet - completeness (59.31%)
MVSTER
MVSTER - accuracy (51.08%)
MVSTER - completeness (69.23%)
MVS_0304
MVS_0304 - accuracy (73.47%)
MVS_0304 - completeness (78.98%)
MVS_111021_LR
MVS_111021_LR - accuracy (62.44%)
MVS_111021_LR - completeness (65.14%)
MVS_Test
MVS_Test - accuracy (55.90%)
MVS_Test - completeness (76.99%)
NCCC
NCCC - accuracy (75.72%)
NCCC - completeness (79.18%)
new-patchmatchnet
new-patchmatchnet - accuracy (33.86%)
new-patchmatchnet - completeness (43.98%)
new_pmnet
new_pmnet - accuracy (25.83%)
new_pmnet - completeness (24.08%)
NR-MVSNet
NR-MVSNet - accuracy (65.48%)
NR-MVSNet - completeness (60.64%)
N_pmnet
N_pmnet - accuracy (25.59%)
N_pmnet - completeness (43.17%)
OMC-MVS
OMC-MVS - accuracy (80.10%)
OMC-MVS - completeness (60.32%)
OpenMVS
OpenMVS - accuracy (62.17%)
OpenMVS - completeness (78.84%)
OPM-MVS
OPM-MVS - accuracy (78.21%)
OPM-MVS - completeness (73.35%)
our_test_3
our_test_3 - accuracy (53.66%)
our_test_3 - completeness (61.50%)
PatchMatch-RL
PatchMatch-RL - accuracy (52.18%)
PatchMatch-RL - completeness (51.70%)
PatchmatchNet
PatchmatchNet - accuracy (41.00%)
PatchmatchNet - completeness (70.54%)
Patchmtry
Patchmtry - accuracy (37.73%)
Patchmtry - completeness (64.49%)
PatchT
PatchT - accuracy (42.26%)
PatchT - completeness (61.58%)
PCF-MVS
PCF-MVS - accuracy (75.33%)
PCF-MVS - completeness (73.68%)
PEN-MVS
PEN-MVS - accuracy (72.59%)
PEN-MVS - completeness (50.07%)
PGM-MVS
PGM-MVS - accuracy (81.09%)
PGM-MVS - completeness (73.75%)
PHI-MVS
PHI-MVS - accuracy (72.46%)
PHI-MVS - completeness (77.35%)
PLC
PLC - accuracy (77.75%)
PLC - completeness (55.60%)
PM-MVS
PM-MVS - accuracy (54.88%)
PM-MVS - completeness (40.82%)
pm-mvs1
pm-mvs1 - accuracy (55.23%)
pm-mvs1 - completeness (62.22%)
PMMVS
PMMVS - accuracy (35.07%)
PMMVS - completeness (65.58%)
pmmvs-eth3d
pmmvs-eth3d - accuracy (53.61%)
pmmvs-eth3d - completeness (55.72%)
PMMVS2
PMMVS2 - accuracy (20.72%)
PMMVS2 - completeness (14.35%)
pmmvs3
pmmvs3 - accuracy (40.68%)
pmmvs3 - completeness (40.26%)
pmmvs5
pmmvs5 - accuracy (43.67%)
pmmvs5 - completeness (62.65%)
pmmvs6
pmmvs6 - accuracy (57.13%)
pmmvs6 - completeness (58.77%)
pmnet_mix02
pmnet_mix02 - accuracy (31.22%)
pmnet_mix02 - completeness (57.46%)
PMVS
PMVS - accuracy (77.23%)
PMVS - completeness (14.78%)
PS-CasMVS
PS-CasMVS - accuracy (72.88%)
PS-CasMVS - completeness (48.09%)
PVSNet_Blended
PVSNet_Blended - accuracy (60.99%)
PVSNet_Blended - completeness (75.70%)
PVSNet_BlendedMVS
PVSNet_BlendedMVS - accuracy (60.99%)
PVSNet_BlendedMVS - completeness (75.70%)
PVSNet_Blended_VisFu
PVSNet_Blended_VisFu - accuracy (72.96%)
PVSNet_Blended_VisFu - completeness (73.92%)
QAPM
QAPM - accuracy (65.01%)
QAPM - completeness (81.17%)
RPMNet
RPMNet - accuracy (50.23%)
RPMNet - completeness (55.95%)
RPSCF
RPSCF - accuracy (74.36%)
RPSCF - completeness (32.41%)
SCA
SCA - accuracy (57.79%)
SCA - completeness (55.81%)
SD-MVS
SD-MVS - accuracy (80.66%)
SD-MVS - completeness (67.85%)
SED-MVS
SED-MVS - accuracy (78.11%)
SED-MVS - completeness (86.20%)
SF-MVS
SF-MVS - accuracy (75.72%)
SF-MVS - completeness (86.54%)
SMA-MVS
SMA-MVS - accuracy (80.25%)
SMA-MVS - completeness (80.13%)
sosnet
sosnet - accuracy (0.00%)
sosnet - completeness (0.00%)
sosnet-low-res
sosnet-low-res - accuracy (0.00%)
sosnet-low-res - completeness (0.00%)
SteuartSystems-ACMMP
SteuartSystems-ACMMP - accuracy (79.28%)
SteuartSystems-ACMMP - completeness (78.56%)
TAMVS
TAMVS - accuracy (36.87%)
TAMVS - completeness (61.04%)
TAPA-MVS
TAPA-MVS - accuracy (74.09%)
TAPA-MVS - completeness (58.42%)
TDRefinement
TDRefinement - accuracy (83.76%)
TDRefinement - completeness (46.04%)
test-mter
test-mter - accuracy (39.03%)
test-mter - completeness (59.02%)
test1
test1 - accuracy (57.61%)
test1 - completeness (65.81%)
test123
test123 - accuracy (0.25%)
test123 - completeness (0.00%)
testgi
testgi - accuracy (47.03%)
testgi - completeness (50.34%)
TESTMET0.1,1
TESTMET0.1,1 - accuracy (36.72%)
TESTMET0.1,1 - completeness (65.89%)
testmvs
testmvs - accuracy (0.17%)
testmvs - completeness (0.00%)
test_part1
test_part1 - accuracy (70.75%)
test_part1 - completeness (69.59%)
thisisatest0515
thisisatest0515 - accuracy (56.05%)
thisisatest0515 - completeness (60.46%)
thisisatest0530
thisisatest0530 - accuracy (55.09%)
thisisatest0530 - completeness (68.22%)
TinyColmap
TinyColmap - accuracy (65.34%)
TinyColmap - completeness (45.21%)
tmp_tt
tmp_tt - accuracy (3.32%)
tmp_tt - completeness (1.81%)
tpm
tpm - accuracy (36.60%)
tpm - completeness (67.04%)
tpm cat1
tpm cat1 - accuracy (49.92%)
tpm cat1 - completeness (72.56%)
tpmrst
tpmrst - accuracy (36.48%)
tpmrst - completeness (70.65%)
train_agg
train_agg - accuracy (69.60%)
train_agg - completeness (75.16%)
TranMVSNet+NR-MVSNet
TranMVSNet+NR-MVSNet - accuracy (65.64%)
TranMVSNet+NR-MVSNet - completeness (62.09%)
TransMVSNet (Re)
TransMVSNet (Re) - accuracy (56.07%)
TransMVSNet (Re) - completeness (64.29%)
TSAR-MVS + ACMM
TSAR-MVS + ACMM - accuracy (82.29%)
TSAR-MVS + ACMM - completeness (65.85%)
TSAR-MVS + COLMAP
TSAR-MVS + COLMAP - accuracy (76.90%)
TSAR-MVS + COLMAP - completeness (58.94%)
TSAR-MVS + GP.
TSAR-MVS + GP. - accuracy (71.13%)
TSAR-MVS + GP. - completeness (70.00%)
TSAR-MVS + MP.
TSAR-MVS + MP. - accuracy (83.22%)
TSAR-MVS + MP. - completeness (64.61%)
tttt0517
tttt0517 - accuracy (55.61%)
tttt0517 - completeness (67.51%)
UA-Net
UA-Net - accuracy (76.15%)
UA-Net - completeness (60.02%)
uanet_test
uanet_test - accuracy (0.00%)
uanet_test - completeness (0.00%)
UGNet
UGNet - accuracy (68.20%)
UGNet - completeness (65.32%)
UniMVSNet (Re)
UniMVSNet (Re) - accuracy (66.57%)
UniMVSNet (Re) - completeness (62.71%)
UniMVSNet_ETH3D
UniMVSNet_ETH3D - accuracy (66.01%)
UniMVSNet_ETH3D - completeness (56.20%)
UniMVSNet_NR-MVSNet
UniMVSNet_NR-MVSNet - accuracy (66.02%)
UniMVSNet_NR-MVSNet - completeness (64.42%)
USDC
USDC - accuracy (61.87%)
USDC - completeness (51.13%)
Vis-MVSNet
Vis-MVSNet - accuracy (66.71%)
Vis-MVSNet - completeness (67.71%)
Vis-MVSNet (Re-imp)
Vis-MVSNet (Re-imp) - accuracy (53.49%)
Vis-MVSNet (Re-imp) - completeness (55.24%)
WR-MVS_H
WR-MVS_H - accuracy (74.32%)
WR-MVS_H - completeness (49.94%)
X-MVS
X-MVS - accuracy (81.29%)
X-MVS - completeness (73.06%)
X-MVStestdata
X-MVStestdata - accuracy (81.29%)
X-MVStestdata - completeness (73.06%)
XVS
XVS - accuracy (81.29%)
XVS - completeness (73.06%)
xxxxxxxxxxxxxcwj
xxxxxxxxxxxxxcwj - accuracy (75.72%)
xxxxxxxxxxxxxcwj - completeness (86.54%)
zzz-MVS
zzz-MVS - accuracy (73.90%)
zzz-MVS - completeness (74.21%)
Attributes:
RGB
RGB and Elevation
Elevation
Level of Detail
RGB
Attribute Weights
RGB:
Intensity:
Elevation:
Classification:
Return Number:
Source ID:
RGB
Gamma:
1.00
Brightness:
0.00
Contrast:
0.00
Elevation
:
0.00 to 1.00
Transition
transition:
Intensity
Range:
0 to 300
Gamma:
1.00
Brightness:
0.00
Contrast:
0.00
:
1,000,000
:
1.00
:
60
:
1.00
Point Sizing
Fixed
Attenuated
Adaptive
Adaptive
Squares
Circles
Interpolation
Squares
Eye-Dome-Lighting
:
1.4
:
1.0
Background
Gradient
Black
White
Navigation
:
0.4
Potree
is a viewer for large point cloud / LIDAR data sets, developed at the Vienna University of Technology.
(github)
Author:
Markus Schütz
License:
FreeBSD (2-clause BSD)
Libraries:
three.js
Jquery
laszip
Plas.io (laslaz)
OpenLayers3
proj4js
tween
i18next
Donators:
rapidlasso
georepublic
sitn
Veesus
sigeom sa
Credits:
Michael Wimmer
&
Claus Scheiblauer
TU Wien, Insitute of Computer Graphics and Algorithms
Harvest4D
rapidlasso
georepublic
Howard Butler, Uday Verma, Connor Manning
Cloud Compare
sitn
loading 1 / 10
Fixed
Attenuated
Adaptive
Squares
Circles
Interpolation
RGB
RGB and Elevation
Elevation
Level of Detail