+
−
⇧
i
D
T
courtyard (high-res multi-view) - Tolerance 1cm
Ground Truth (full)
Ground Truth (dslr eval)
3Dnovator
3Dnovator - accuracy (60.78%)
3Dnovator - completeness (73.72%)
3Dnovator+
3Dnovator+ - accuracy (70.70%)
3Dnovator+ - completeness (65.89%)
ACMH
ACMH - accuracy (69.62%)
ACMH - completeness (63.36%)
ACMH+
ACMH+ - accuracy (73.82%)
ACMH+ - completeness (56.75%)
ACMM
ACMM - accuracy (80.10%)
ACMM - completeness (63.10%)
ACMMP
ACMMP - accuracy (80.11%)
ACMMP - completeness (62.64%)
ACMMPR
ACMMPR - accuracy (81.04%)
ACMMPR - completeness (65.34%)
ACMMP_NAP
ACMMP_NAP - accuracy (79.15%)
ACMMP_NAP - completeness (69.64%)
ACMP
ACMP - accuracy (79.33%)
ACMP - completeness (61.15%)
AdaColmap
AdaColmap - accuracy (76.90%)
AdaColmap - completeness (70.82%)
ADS-MVSNet
ADS-MVSNet - accuracy (40.70%)
ADS-MVSNet - completeness (48.74%)
ambc
ambc - accuracy (74.57%)
ambc - completeness (38.36%)
Anonymous20231206
Anonymous20231206 - accuracy (55.45%)
Anonymous20231206 - completeness (48.88%)
Anonymous202405211
Anonymous202405211 - accuracy (66.19%)
Anonymous202405211 - completeness (60.91%)
anonymousdsp
anonymousdsp - accuracy (45.61%)
anonymousdsp - completeness (36.00%)
APD-MVS
APD-MVS - accuracy (81.22%)
APD-MVS - completeness (70.39%)
APDe-MVS
APDe-MVS - accuracy (79.25%)
APDe-MVS - completeness (76.51%)
baseline1
baseline1 - accuracy (58.87%)
baseline1 - completeness (62.50%)
baseline2
baseline2 - accuracy (55.27%)
baseline2 - completeness (59.61%)
Baseline_NR-MVSNet
Baseline_NR-MVSNet - accuracy (70.81%)
Baseline_NR-MVSNet - completeness (44.43%)
CANet
CANet - accuracy (72.57%)
CANet - completeness (64.51%)
CANet_DTU
CANet_DTU - accuracy (59.89%)
CANet_DTU - completeness (52.18%)
canonicalmvs
canonicalmvs - accuracy (65.89%)
canonicalmvs - completeness (62.11%)
casdiffmvs
casdiffmvs - accuracy (62.75%)
casdiffmvs - completeness (60.90%)
CDPH-MVS
CDPH-MVS - accuracy (77.29%)
CDPH-MVS - completeness (69.10%)
CDS-MVSNet
CDS-MVSNet - accuracy (62.30%)
CDS-MVSNet - completeness (47.53%)
CHOSEN 1792x2688
CHOSEN 1792x2688 - accuracy (47.32%)
CHOSEN 1792x2688 - completeness (72.50%)
CHOSEN 280x420
CHOSEN 280x420 - accuracy (32.36%)
CHOSEN 280x420 - completeness (33.56%)
CLD-MVS
CLD-MVS - accuracy (74.03%)
CLD-MVS - completeness (68.22%)
CMPMVS
CMPMVS - accuracy (47.88%)
CMPMVS - completeness (44.21%)
CNLPA
CNLPA - accuracy (70.75%)
CNLPA - completeness (49.83%)
CNVR-MVS
CNVR-MVS - accuracy (78.37%)
CNVR-MVS - completeness (73.32%)
COLMAP_ROB
COLMAP_ROB - accuracy (75.52%)
COLMAP_ROB - completeness (36.41%)
CostFormer
CostFormer - accuracy (52.72%)
CostFormer - completeness (63.29%)
CP-MVS
CP-MVS - accuracy (81.81%)
CP-MVS - completeness (62.21%)
CP-MVSNet
CP-MVSNet - accuracy (81.16%)
CP-MVSNet - completeness (37.56%)
CPTT-MVS
CPTT-MVS - accuracy (80.73%)
CPTT-MVS - completeness (54.99%)
CR-MVSNet
CR-MVSNet - accuracy (51.57%)
CR-MVSNet - completeness (46.74%)
CS-MVS
CS-MVS - accuracy (68.39%)
CS-MVS - completeness (60.49%)
CSCG
CSCG - accuracy (73.32%)
CSCG - completeness (78.23%)
CVMVSNet
CVMVSNet - accuracy (54.82%)
CVMVSNet - completeness (34.57%)
DCV-MVSNet
DCV-MVSNet - accuracy (63.79%)
DCV-MVSNet - completeness (59.96%)
DeepC-MVS
DeepC-MVS - accuracy (78.62%)
DeepC-MVS - completeness (59.79%)
DeepC-MVS_fast
DeepC-MVS_fast - accuracy (76.44%)
DeepC-MVS_fast - completeness (62.76%)
DeepPCF-MVS
DeepPCF-MVS - accuracy (74.14%)
DeepPCF-MVS - completeness (62.38%)
DELS-MVS
DELS-MVS - accuracy (59.68%)
DELS-MVS - completeness (69.12%)
diffmvs
diffmvs - accuracy (56.19%)
diffmvs - completeness (57.08%)
DPE-MVS
DPE-MVS - accuracy (78.58%)
DPE-MVS - completeness (77.07%)
DPM-MVS
DPM-MVS - accuracy (74.93%)
DPM-MVS - completeness (76.10%)
dps
dps - accuracy (52.37%)
dps - completeness (59.89%)
DTE-MVSNet
DTE-MVSNet - accuracy (82.94%)
DTE-MVSNet - completeness (40.74%)
DU-MVS
DU-MVS - accuracy (70.81%)
DU-MVS - completeness (44.43%)
DVP-MVS
DVP-MVS - accuracy (76.23%)
DVP-MVS - completeness (79.93%)
E-PMN
E-PMN - accuracy (46.09%)
E-PMN - completeness (19.91%)
Effi-MVS+
Effi-MVS+ - accuracy (67.20%)
Effi-MVS+ - completeness (61.56%)
Effi-MVS+-dtu
Effi-MVS+-dtu - accuracy (70.23%)
Effi-MVS+-dtu - completeness (59.32%)
EG-PatchMatch MVS
EG-PatchMatch MVS - accuracy (70.74%)
EG-PatchMatch MVS - completeness (59.54%)
EIA-MVS
EIA-MVS - accuracy (69.30%)
EIA-MVS - completeness (59.14%)
EMVS
EMVS - accuracy (45.46%)
EMVS - completeness (19.22%)
EPMVS
EPMVS - accuracy (41.55%)
EPMVS - completeness (56.74%)
EPNet
EPNet - accuracy (73.97%)
EPNet - completeness (60.58%)
EPNet_dtu
EPNet_dtu - accuracy (55.47%)
EPNet_dtu - completeness (52.79%)
EPP-MVSNet
EPP-MVSNet - accuracy (68.38%)
EPP-MVSNet - completeness (54.99%)
ET-MVSNet_ETH3D
ET-MVSNet_ETH3D - accuracy (58.61%)
ET-MVSNet_ETH3D - completeness (32.91%)
ETV-MVS
ETV-MVS - accuracy (68.59%)
ETV-MVS - completeness (58.47%)
EU-MVSNet
EU-MVSNet - accuracy (47.81%)
EU-MVSNet - completeness (33.10%)
Fast-Effi-MVS+
Fast-Effi-MVS+ - accuracy (63.83%)
Fast-Effi-MVS+ - completeness (54.33%)
Fast-Effi-MVS+-dtu
Fast-Effi-MVS+-dtu - accuracy (61.24%)
Fast-Effi-MVS+-dtu - completeness (56.25%)
FC-MVSNet-test
FC-MVSNet-test - accuracy (54.69%)
FC-MVSNet-test - completeness (37.42%)
FC-MVSNet-train
FC-MVSNet-train - accuracy (65.24%)
FC-MVSNet-train - completeness (63.37%)
FMVSNet1
FMVSNet1 - accuracy (57.67%)
FMVSNet1 - completeness (45.56%)
FMVSNet2
FMVSNet2 - accuracy (55.88%)
FMVSNet2 - completeness (49.36%)
FMVSNet3
FMVSNet3 - accuracy (54.29%)
FMVSNet3 - completeness (50.59%)
FMVSNet5
FMVSNet5 - accuracy (39.24%)
FMVSNet5 - completeness (30.46%)
FPMVS
FPMVS - accuracy (69.09%)
FPMVS - completeness (27.09%)
GA-MVS
GA-MVS - accuracy (59.38%)
GA-MVS - completeness (51.63%)
GBi-Net
GBi-Net - accuracy (55.88%)
GBi-Net - completeness (49.36%)
GG-mvs-BLEND
GG-mvs-BLEND - accuracy (0.07%)
GG-mvs-BLEND - completeness (0.01%)
gg-mvs-nofinetune
gg-mvs-nofinetune - accuracy (63.42%)
gg-mvs-nofinetune - completeness (60.63%)
Gipuma
Gipuma - accuracy (63.64%)
Gipuma - completeness (18.76%)
gm-plane-assit
gm-plane-assit - accuracy (66.01%)
gm-plane-assit - completeness (56.49%)
HFP-MVS
HFP-MVS - accuracy (79.94%)
HFP-MVS - completeness (68.87%)
HPM-MVS++
HPM-MVS++ - accuracy (81.99%)
HPM-MVS++ - completeness (71.88%)
HQP-MVS
HQP-MVS - accuracy (77.41%)
HQP-MVS - completeness (66.76%)
HyFIR lowres test
HyFIR lowres test - accuracy (52.42%)
HyFIR lowres test - completeness (61.55%)
IB-MVS
IB-MVS - accuracy (56.65%)
IB-MVS - completeness (60.83%)
IS_MVSNet
IS_MVSNet - accuracy (68.55%)
IS_MVSNet - completeness (55.96%)
IterMVS
IterMVS - accuracy (50.98%)
IterMVS - completeness (47.59%)
IterMVS-LS
IterMVS-LS - accuracy (65.33%)
IterMVS-LS - completeness (55.34%)
IterMVS-SCA-FT
IterMVS-SCA-FT - accuracy (56.92%)
IterMVS-SCA-FT - completeness (46.22%)
LGP-MVS_train
LGP-MVS_train - accuracy (78.72%)
LGP-MVS_train - completeness (61.94%)
LS3D
LS3D - accuracy (75.37%)
LS3D - completeness (55.88%)
LTVRE_ROB
LTVRE_ROB - accuracy (63.57%)
LTVRE_ROB - completeness (43.12%)
MAR-MVS
MAR-MVS - accuracy (69.89%)
MAR-MVS - completeness (73.56%)
MCST-MVS
MCST-MVS - accuracy (73.75%)
MCST-MVS - completeness (78.95%)
MDA-MVSNet-bldmvs
MDA-MVSNet-bldmvs - accuracy (34.32%)
MDA-MVSNet-bldmvs - completeness (24.73%)
MDTV_nov1_ep13
MDTV_nov1_ep13 - accuracy (46.28%)
MDTV_nov1_ep13 - completeness (54.08%)
MDTV_nov1_ep13_2view
MDTV_nov1_ep13_2view - accuracy (50.13%)
MDTV_nov1_ep13_2view - completeness (46.13%)
MIMVSNet
MIMVSNet - accuracy (45.38%)
MIMVSNet - completeness (38.17%)
MIMVSNet1
MIMVSNet1 - accuracy (46.70%)
MIMVSNet1 - completeness (19.52%)
MP-MVS
MP-MVS - accuracy (82.58%)
MP-MVS - completeness (66.20%)
mPP-MVS
mPP-MVS - accuracy (82.97%)
mPP-MVS - completeness (63.08%)
MS-PatchMatch
MS-PatchMatch - accuracy (60.53%)
MS-PatchMatch - completeness (70.57%)
MSDG
MSDG - accuracy (67.08%)
MSDG - completeness (65.48%)
MSLP-MVS++
MSLP-MVS++ - accuracy (70.51%)
MSLP-MVS++ - completeness (68.33%)
MSP-MVS
MSP-MVS - accuracy (78.92%)
MSP-MVS - completeness (71.93%)
MVE
MVE - accuracy (22.33%)
MVE - completeness (4.43%)
MVS-HIRNet
MVS-HIRNet - accuracy (40.98%)
MVS-HIRNet - completeness (47.66%)
MVSTER
MVSTER - accuracy (47.19%)
MVSTER - completeness (55.05%)
MVS_0304
MVS_0304 - accuracy (74.24%)
MVS_0304 - completeness (62.59%)
MVS_111021_LR
MVS_111021_LR - accuracy (67.42%)
MVS_111021_LR - completeness (56.25%)
MVS_Test
MVS_Test - accuracy (59.52%)
MVS_Test - completeness (60.01%)
NCCC
NCCC - accuracy (79.24%)
NCCC - completeness (72.46%)
new-patchmatchnet
new-patchmatchnet - accuracy (55.69%)
new-patchmatchnet - completeness (36.81%)
new_pmnet
new_pmnet - accuracy (38.59%)
new_pmnet - completeness (10.93%)
NR-MVSNet
NR-MVSNet - accuracy (65.49%)
NR-MVSNet - completeness (57.66%)
N_pmnet
N_pmnet - accuracy (44.48%)
N_pmnet - completeness (37.25%)
OMC-MVS
OMC-MVS - accuracy (72.95%)
OMC-MVS - completeness (41.55%)
OpenMVS
OpenMVS - accuracy (61.63%)
OpenMVS - completeness (72.13%)
OPM-MVS
OPM-MVS - accuracy (79.27%)
OPM-MVS - completeness (66.53%)
our_test_3
our_test_3 - accuracy (52.72%)
our_test_3 - completeness (49.68%)
PatchMatch-RL
PatchMatch-RL - accuracy (59.16%)
PatchMatch-RL - completeness (37.94%)
PatchmatchNet
PatchmatchNet - accuracy (48.29%)
PatchmatchNet - completeness (55.93%)
PatchT
PatchT - accuracy (37.59%)
PatchT - completeness (50.13%)
PCF-MVS
PCF-MVS - accuracy (71.61%)
PCF-MVS - completeness (59.12%)
PEN-MVS
PEN-MVS - accuracy (82.29%)
PEN-MVS - completeness (40.56%)
PGM-MVS
PGM-MVS - accuracy (80.69%)
PGM-MVS - completeness (65.78%)
PHI-MVS
PHI-MVS - accuracy (71.13%)
PHI-MVS - completeness (63.02%)
PLC
PLC - accuracy (70.46%)
PLC - completeness (42.78%)
PM-MVS
PM-MVS - accuracy (58.92%)
PM-MVS - completeness (22.78%)
pm-mvs1
pm-mvs1 - accuracy (60.64%)
pm-mvs1 - completeness (48.93%)
PMMVS
PMMVS - accuracy (27.75%)
PMMVS - completeness (44.34%)
pmmvs-eth3d
pmmvs-eth3d - accuracy (63.05%)
pmmvs-eth3d - completeness (42.56%)
PMMVS2
PMMVS2 - accuracy (25.45%)
PMMVS2 - completeness (11.39%)
pmmvs3
pmmvs3 - accuracy (31.23%)
pmmvs3 - completeness (22.82%)
pmmvs5
pmmvs5 - accuracy (47.01%)
pmmvs5 - completeness (43.48%)
pmmvs6
pmmvs6 - accuracy (62.41%)
pmmvs6 - completeness (44.45%)
pmnet_mix02
pmnet_mix02 - accuracy (45.77%)
pmnet_mix02 - completeness (45.80%)
PMVS
PMVS - accuracy (77.06%)
PMVS - completeness (21.92%)
PS-CasMVS
PS-CasMVS - accuracy (81.24%)
PS-CasMVS - completeness (37.44%)
PVSNet_Blended
PVSNet_Blended - accuracy (56.27%)
PVSNet_Blended - completeness (58.17%)
PVSNet_BlendedMVS
PVSNet_BlendedMVS - accuracy (56.27%)
PVSNet_BlendedMVS - completeness (58.17%)
PVSNet_Blended_VisFu
PVSNet_Blended_VisFu - accuracy (63.53%)
PVSNet_Blended_VisFu - completeness (56.90%)
QAPM
QAPM - accuracy (59.57%)
QAPM - completeness (72.56%)
RPMNet
RPMNet - accuracy (50.25%)
RPMNet - completeness (45.52%)
RPSCF
RPSCF - accuracy (65.17%)
RPSCF - completeness (16.00%)
SCA
SCA - accuracy (46.95%)
SCA - completeness (55.99%)
SD-MVS
SD-MVS - accuracy (80.36%)
SD-MVS - completeness (69.24%)
SED-MVS
SED-MVS - accuracy (75.83%)
SED-MVS - completeness (81.70%)
SF-MVS
SF-MVS - accuracy (76.04%)
SF-MVS - completeness (82.90%)
SMA-MVS
SMA-MVS - accuracy (80.13%)
SMA-MVS - completeness (71.25%)
sosnet
sosnet - accuracy (0.00%)
sosnet - completeness (0.00%)
sosnet-low-res
sosnet-low-res - accuracy (0.00%)
sosnet-low-res - completeness (0.00%)
SR-MVS
SR-MVS - accuracy (81.31%)
SR-MVS - completeness (63.74%)
SteuartSystems-ACMMP
SteuartSystems-ACMMP - accuracy (80.48%)
SteuartSystems-ACMMP - completeness (73.45%)
TAMVS
TAMVS - accuracy (49.56%)
TAMVS - completeness (44.74%)
TAPA-MVS
TAPA-MVS - accuracy (67.63%)
TAPA-MVS - completeness (36.46%)
TDRefinement
TDRefinement - accuracy (75.10%)
TDRefinement - completeness (19.09%)
test-mter
test-mter - accuracy (33.20%)
test-mter - completeness (34.12%)
test1
test1 - accuracy (55.88%)
test1 - completeness (49.36%)
test123
test123 - accuracy (0.22%)
test123 - completeness (0.00%)
testgi
testgi - accuracy (58.38%)
testgi - completeness (47.37%)
TESTMET0.1,1
TESTMET0.1,1 - accuracy (31.32%)
TESTMET0.1,1 - completeness (44.94%)
testmvs
testmvs - accuracy (0.17%)
testmvs - completeness (0.00%)
test_part1
test_part1 - accuracy (71.41%)
test_part1 - completeness (61.77%)
thisisatest0515
thisisatest0515 - accuracy (56.37%)
thisisatest0515 - completeness (45.33%)
thisisatest0530
thisisatest0530 - accuracy (54.75%)
thisisatest0530 - completeness (51.30%)
TinyColmap
TinyColmap - accuracy (66.07%)
TinyColmap - completeness (31.17%)
tmp_tt
tmp_tt - accuracy (8.89%)
tmp_tt - completeness (2.56%)
tpm
tpm - accuracy (49.60%)
tpm - completeness (59.48%)
tpm cat1
tpm cat1 - accuracy (55.74%)
tpm cat1 - completeness (60.80%)
tpmrst
tpmrst - accuracy (47.05%)
tpmrst - completeness (59.91%)
train_agg
train_agg - accuracy (80.92%)
train_agg - completeness (70.33%)
TranMVSNet+NR-MVSNet
TranMVSNet+NR-MVSNet - accuracy (72.54%)
TranMVSNet+NR-MVSNet - completeness (50.38%)
TransMVSNet (Re)
TransMVSNet (Re) - accuracy (64.26%)
TransMVSNet (Re) - completeness (57.96%)
TSAR-MVS + ACMM
TSAR-MVS + ACMM - accuracy (77.60%)
TSAR-MVS + ACMM - completeness (69.35%)
TSAR-MVS + COLMAP
TSAR-MVS + COLMAP - accuracy (71.15%)
TSAR-MVS + COLMAP - completeness (34.33%)
TSAR-MVS + GP.
TSAR-MVS + GP. - accuracy (77.15%)
TSAR-MVS + GP. - completeness (61.23%)
TSAR-MVS + MP.
TSAR-MVS + MP. - accuracy (80.74%)
TSAR-MVS + MP. - completeness (69.34%)
tttt0517
tttt0517 - accuracy (55.20%)
tttt0517 - completeness (50.35%)
UA-Net
UA-Net - accuracy (84.87%)
UA-Net - completeness (55.31%)
uanet_test
uanet_test - accuracy (0.00%)
uanet_test - completeness (0.00%)
UGNet
UGNet - accuracy (54.54%)
UGNet - completeness (40.59%)
UniMVSNet (Re)
UniMVSNet (Re) - accuracy (70.29%)
UniMVSNet (Re) - completeness (45.60%)
UniMVSNet_ETH3D
UniMVSNet_ETH3D - accuracy (76.46%)
UniMVSNet_ETH3D - completeness (38.31%)
UniMVSNet_NR-MVSNet
UniMVSNet_NR-MVSNet - accuracy (71.75%)
UniMVSNet_NR-MVSNet - completeness (51.59%)
USDC
USDC - accuracy (63.53%)
USDC - completeness (34.55%)
Vis-MVSNet
Vis-MVSNet - accuracy (60.67%)
Vis-MVSNet - completeness (47.68%)
Vis-MVSNet (Re-imp)
Vis-MVSNet (Re-imp) - accuracy (64.66%)
Vis-MVSNet (Re-imp) - completeness (51.82%)
WR-MVS_H
WR-MVS_H - accuracy (80.54%)
WR-MVS_H - completeness (37.80%)
X-MVS
X-MVS - accuracy (80.31%)
X-MVS - completeness (64.77%)
X-MVStestdata
X-MVStestdata - accuracy (80.47%)
X-MVStestdata - completeness (62.70%)
XVS
XVS - accuracy (80.47%)
XVS - completeness (62.70%)
xxxxxxxxxxxxxcwj
xxxxxxxxxxxxxcwj - accuracy (76.04%)
xxxxxxxxxxxxxcwj - completeness (82.90%)
zzz-MVS
zzz-MVS - accuracy (82.59%)
zzz-MVS - completeness (66.09%)
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