+
−
⇧
i
D
T
facade (high-res multi-view) - Tolerance 2cm
Height profile
Point number
:
-
Visualizations
Ground Truth (full)
Ground Truth (dslr eval)
3Dnovator
3Dnovator - accuracy (61.02%)
3Dnovator - completeness (70.79%)
3Dnovator+
3Dnovator+ - accuracy (75.39%)
3Dnovator+ - completeness (67.95%)
ACMH
ACMH - accuracy (68.79%)
ACMH - completeness (67.48%)
ACMH+
ACMH+ - accuracy (74.23%)
ACMH+ - completeness (62.81%)
ACMM
ACMM - accuracy (77.36%)
ACMM - completeness (64.76%)
ACMMP
ACMMP - accuracy (77.53%)
ACMMP - completeness (67.38%)
ACMMPR
ACMMPR - accuracy (79.46%)
ACMMPR - completeness (69.18%)
ACMMP_NAP
ACMMP_NAP - accuracy (76.61%)
ACMMP_NAP - completeness (71.66%)
ACMP
ACMP - accuracy (76.06%)
ACMP - completeness (64.13%)
AdaColmap
AdaColmap - accuracy (70.90%)
AdaColmap - completeness (73.04%)
ADS-MVSNet
ADS-MVSNet - accuracy (54.37%)
ADS-MVSNet - completeness (40.17%)
Anonymous20231206
Anonymous20231206 - accuracy (56.52%)
Anonymous20231206 - completeness (58.60%)
Anonymous202405211
Anonymous202405211 - accuracy (67.79%)
Anonymous202405211 - completeness (63.18%)
anonymousdsp
anonymousdsp - accuracy (53.53%)
anonymousdsp - completeness (48.14%)
APD-MVS
APD-MVS - accuracy (77.74%)
APD-MVS - completeness (73.64%)
APDe-MVS
APDe-MVS - accuracy (76.41%)
APDe-MVS - completeness (74.67%)
baseline1
baseline1 - accuracy (62.03%)
baseline1 - completeness (66.93%)
baseline2
baseline2 - accuracy (55.53%)
baseline2 - completeness (62.78%)
Baseline_NR-MVSNet
Baseline_NR-MVSNet - accuracy (74.97%)
Baseline_NR-MVSNet - completeness (62.90%)
CANet
CANet - accuracy (69.00%)
CANet - completeness (66.95%)
CANet_DTU
CANet_DTU - accuracy (58.00%)
CANet_DTU - completeness (54.71%)
canonicalmvs
canonicalmvs - accuracy (65.82%)
canonicalmvs - completeness (60.74%)
casdiffmvs
casdiffmvs - accuracy (62.90%)
casdiffmvs - completeness (63.59%)
CDPH-MVS
CDPH-MVS - accuracy (72.69%)
CDPH-MVS - completeness (71.00%)
CDS-MVSNet
CDS-MVSNet - accuracy (70.78%)
CDS-MVSNet - completeness (57.98%)
CHOSEN 1792x2688
CHOSEN 1792x2688 - accuracy (54.68%)
CHOSEN 1792x2688 - completeness (66.77%)
CHOSEN 280x420
CHOSEN 280x420 - accuracy (38.61%)
CHOSEN 280x420 - completeness (42.28%)
CLD-MVS
CLD-MVS - accuracy (54.52%)
CLD-MVS - completeness (68.96%)
CMPMVS
CMPMVS - accuracy (50.52%)
CMPMVS - completeness (53.23%)
CNLPA
CNLPA - accuracy (63.56%)
CNLPA - completeness (65.75%)
CNVR-MVS
CNVR-MVS - accuracy (73.47%)
CNVR-MVS - completeness (77.77%)
COLMAP_ROB
COLMAP_ROB - accuracy (72.17%)
COLMAP_ROB - completeness (55.82%)
CostFormer
CostFormer - accuracy (55.57%)
CostFormer - completeness (48.62%)
CP-MVS
CP-MVS - accuracy (80.38%)
CP-MVS - completeness (68.44%)
CP-MVSNet
CP-MVSNet - accuracy (82.86%)
CP-MVSNet - completeness (56.29%)
CPTT-MVS
CPTT-MVS - accuracy (79.13%)
CPTT-MVS - completeness (64.35%)
CR-MVSNet
CR-MVSNet - accuracy (67.74%)
CR-MVSNet - completeness (43.18%)
CS-MVS
CS-MVS - accuracy (66.61%)
CS-MVS - completeness (58.81%)
CSCG
CSCG - accuracy (68.60%)
CSCG - completeness (74.01%)
CVMVSNet
CVMVSNet - accuracy (60.84%)
CVMVSNet - completeness (52.38%)
DCV-MVSNet
DCV-MVSNet - accuracy (66.06%)
DCV-MVSNet - completeness (57.85%)
DeepC-MVS
DeepC-MVS - accuracy (80.04%)
DeepC-MVS - completeness (73.27%)
DeepC-MVS_fast
DeepC-MVS_fast - accuracy (74.45%)
DeepC-MVS_fast - completeness (74.04%)
DeepMVS_CX
DeepMVS_CX - accuracy (6.69%)
DeepMVS_CX - completeness (10.02%)
DeepPCF-MVS
DeepPCF-MVS - accuracy (73.54%)
DeepPCF-MVS - completeness (72.63%)
DELS-MVS
DELS-MVS - accuracy (60.06%)
DELS-MVS - completeness (70.63%)
diffmvs
diffmvs - accuracy (57.57%)
diffmvs - completeness (62.96%)
DPE-MVS
DPE-MVS - accuracy (76.91%)
DPE-MVS - completeness (75.11%)
DPM-MVS
DPM-MVS - accuracy (68.96%)
DPM-MVS - completeness (78.09%)
dps
dps - accuracy (61.59%)
dps - completeness (46.63%)
DTE-MVSNet
DTE-MVSNet - accuracy (83.09%)
DTE-MVSNet - completeness (57.33%)
DU-MVS
DU-MVS - accuracy (78.35%)
DU-MVS - completeness (61.96%)
DVP-MVS
DVP-MVS - accuracy (75.42%)
DVP-MVS - completeness (76.88%)
E-PMN
E-PMN - accuracy (43.40%)
E-PMN - completeness (36.87%)
Effi-MVS+
Effi-MVS+ - accuracy (68.05%)
Effi-MVS+ - completeness (58.88%)
Effi-MVS+-dtu
Effi-MVS+-dtu - accuracy (68.28%)
Effi-MVS+-dtu - completeness (56.23%)
EG-PatchMatch MVS
EG-PatchMatch MVS - accuracy (64.02%)
EG-PatchMatch MVS - completeness (55.55%)
EIA-MVS
EIA-MVS - accuracy (64.03%)
EIA-MVS - completeness (60.63%)
EMVS
EMVS - accuracy (42.71%)
EMVS - completeness (36.89%)
EPMVS
EPMVS - accuracy (52.83%)
EPMVS - completeness (44.37%)
EPNet
EPNet - accuracy (77.35%)
EPNet - completeness (68.07%)
EPNet_dtu
EPNet_dtu - accuracy (64.12%)
EPNet_dtu - completeness (62.50%)
EPP-MVSNet
EPP-MVSNet - accuracy (68.42%)
EPP-MVSNet - completeness (57.83%)
ET-MVSNet_ETH3D
ET-MVSNet_ETH3D - accuracy (64.05%)
ET-MVSNet_ETH3D - completeness (60.95%)
ETV-MVS
ETV-MVS - accuracy (68.27%)
ETV-MVS - completeness (60.27%)
EU-MVSNet
EU-MVSNet - accuracy (54.06%)
EU-MVSNet - completeness (47.64%)
Fast-Effi-MVS+
Fast-Effi-MVS+ - accuracy (63.51%)
Fast-Effi-MVS+ - completeness (54.79%)
Fast-Effi-MVS+-dtu
Fast-Effi-MVS+-dtu - accuracy (77.40%)
Fast-Effi-MVS+-dtu - completeness (43.13%)
FC-MVSNet-test
FC-MVSNet-test - accuracy (64.97%)
FC-MVSNet-test - completeness (53.36%)
FC-MVSNet-train
FC-MVSNet-train - accuracy (64.11%)
FC-MVSNet-train - completeness (66.38%)
FMVSNet1
FMVSNet1 - accuracy (67.53%)
FMVSNet1 - completeness (57.90%)
FMVSNet2
FMVSNet2 - accuracy (65.36%)
FMVSNet2 - completeness (60.23%)
FMVSNet3
FMVSNet3 - accuracy (64.57%)
FMVSNet3 - completeness (60.97%)
FMVSNet5
FMVSNet5 - accuracy (42.37%)
FMVSNet5 - completeness (52.86%)
FPMVS
FPMVS - accuracy (65.66%)
FPMVS - completeness (41.57%)
GA-MVS
GA-MVS - accuracy (58.40%)
GA-MVS - completeness (58.16%)
GBi-Net
GBi-Net - accuracy (64.57%)
GBi-Net - completeness (60.97%)
GG-mvs-BLEND
GG-mvs-BLEND - accuracy (0.17%)
GG-mvs-BLEND - completeness (0.02%)
gg-mvs-nofinetune
gg-mvs-nofinetune - accuracy (76.67%)
gg-mvs-nofinetune - completeness (41.24%)
Gipuma
Gipuma - accuracy (68.42%)
Gipuma - completeness (37.53%)
gm-plane-assit
gm-plane-assit - accuracy (51.36%)
gm-plane-assit - completeness (42.59%)
HFP-MVS
HFP-MVS - accuracy (79.49%)
HFP-MVS - completeness (69.67%)
HPM-MVS++
HPM-MVS++ - accuracy (78.01%)
HPM-MVS++ - completeness (74.21%)
HQP-MVS
HQP-MVS - accuracy (71.60%)
HQP-MVS - completeness (69.38%)
HyFIR lowres test
HyFIR lowres test - accuracy (62.41%)
HyFIR lowres test - completeness (58.09%)
IB-MVS
IB-MVS - accuracy (58.92%)
IB-MVS - completeness (64.91%)
IS_MVSNet
IS_MVSNet - accuracy (70.02%)
IS_MVSNet - completeness (58.22%)
IterMVS
IterMVS - accuracy (53.22%)
IterMVS - completeness (48.56%)
IterMVS-LS
IterMVS-LS - accuracy (69.42%)
IterMVS-LS - completeness (53.55%)
IterMVS-SCA-FT
IterMVS-SCA-FT - accuracy (61.34%)
IterMVS-SCA-FT - completeness (46.93%)
LGP-MVS_train
LGP-MVS_train - accuracy (77.65%)
LGP-MVS_train - completeness (63.04%)
LS3D
LS3D - accuracy (71.69%)
LS3D - completeness (65.87%)
LTVRE_ROB
LTVRE_ROB - accuracy (78.79%)
LTVRE_ROB - completeness (47.12%)
MAR-MVS
MAR-MVS - accuracy (69.52%)
MAR-MVS - completeness (65.56%)
MCST-MVS
MCST-MVS - accuracy (69.33%)
MCST-MVS - completeness (79.10%)
MDA-MVSNet-bldmvs
MDA-MVSNet-bldmvs - accuracy (60.27%)
MDA-MVSNet-bldmvs - completeness (55.74%)
MDTV_nov1_ep13
MDTV_nov1_ep13 - accuracy (51.10%)
MDTV_nov1_ep13 - completeness (49.50%)
MDTV_nov1_ep13_2view
MDTV_nov1_ep13_2view - accuracy (54.45%)
MDTV_nov1_ep13_2view - completeness (43.38%)
MIMVSNet
MIMVSNet - accuracy (53.79%)
MIMVSNet - completeness (45.02%)
MIMVSNet1
MIMVSNet1 - accuracy (53.60%)
MIMVSNet1 - completeness (50.83%)
MP-MVS
MP-MVS - accuracy (79.60%)
MP-MVS - completeness (69.34%)
MS-PatchMatch
MS-PatchMatch - accuracy (56.38%)
MS-PatchMatch - completeness (61.77%)
MSDG
MSDG - accuracy (60.91%)
MSDG - completeness (68.73%)
MSLP-MVS++
MSLP-MVS++ - accuracy (74.39%)
MSLP-MVS++ - completeness (66.17%)
MSP-MVS
MSP-MVS - accuracy (77.52%)
MSP-MVS - completeness (74.15%)
MVE
MVE - accuracy (41.39%)
MVE - completeness (29.05%)
MVS-HIRNet
MVS-HIRNet - accuracy (58.69%)
MVS-HIRNet - completeness (42.20%)
MVSTER
MVSTER - accuracy (52.36%)
MVSTER - completeness (63.41%)
MVS_0304
MVS_0304 - accuracy (70.87%)
MVS_0304 - completeness (63.81%)
MVS_111021_LR
MVS_111021_LR - accuracy (65.23%)
MVS_111021_LR - completeness (65.27%)
MVS_Test
MVS_Test - accuracy (61.56%)
MVS_Test - completeness (58.74%)
NCCC
NCCC - accuracy (74.59%)
NCCC - completeness (76.51%)
new-patchmatchnet
new-patchmatchnet - accuracy (54.64%)
new-patchmatchnet - completeness (49.61%)
new_pmnet
new_pmnet - accuracy (34.73%)
new_pmnet - completeness (30.92%)
NR-MVSNet
NR-MVSNet - accuracy (78.35%)
NR-MVSNet - completeness (61.96%)
N_pmnet
N_pmnet - accuracy (39.79%)
N_pmnet - completeness (51.25%)
OMC-MVS
OMC-MVS - accuracy (67.00%)
OMC-MVS - completeness (63.21%)
OpenMVS
OpenMVS - accuracy (58.31%)
OpenMVS - completeness (66.35%)
OPM-MVS
OPM-MVS - accuracy (75.91%)
OPM-MVS - completeness (69.79%)
PatchMatch-RL
PatchMatch-RL - accuracy (63.43%)
PatchMatch-RL - completeness (60.35%)
PatchmatchNet
PatchmatchNet - accuracy (60.01%)
PatchmatchNet - completeness (45.40%)
Patchmtry
Patchmtry - accuracy (67.74%)
Patchmtry - completeness (43.18%)
PatchT
PatchT - accuracy (59.00%)
PatchT - completeness (41.39%)
PCF-MVS
PCF-MVS - accuracy (69.10%)
PCF-MVS - completeness (70.62%)
PEN-MVS
PEN-MVS - accuracy (82.67%)
PEN-MVS - completeness (57.20%)
PGM-MVS
PGM-MVS - accuracy (78.94%)
PGM-MVS - completeness (65.75%)
PHI-MVS
PHI-MVS - accuracy (70.16%)
PHI-MVS - completeness (68.90%)
PLC
PLC - accuracy (68.70%)
PLC - completeness (63.70%)
PM-MVS
PM-MVS - accuracy (60.18%)
PM-MVS - completeness (44.84%)
pm-mvs1
pm-mvs1 - accuracy (65.04%)
pm-mvs1 - completeness (57.20%)
PMMVS
PMMVS - accuracy (35.05%)
PMMVS - completeness (55.64%)
pmmvs-eth3d
pmmvs-eth3d - accuracy (66.59%)
pmmvs-eth3d - completeness (53.74%)
PMMVS2
PMMVS2 - accuracy (29.97%)
PMMVS2 - completeness (28.43%)
pmmvs3
pmmvs3 - accuracy (28.82%)
pmmvs3 - completeness (35.85%)
pmmvs5
pmmvs5 - accuracy (51.47%)
pmmvs5 - completeness (54.00%)
pmmvs6
pmmvs6 - accuracy (68.83%)
pmmvs6 - completeness (52.32%)
pmnet_mix02
pmnet_mix02 - accuracy (46.84%)
pmnet_mix02 - completeness (54.17%)
PMVS
PMVS - accuracy (75.78%)
PMVS - completeness (41.34%)
PS-CasMVS
PS-CasMVS - accuracy (82.95%)
PS-CasMVS - completeness (56.19%)
PVSNet_Blended
PVSNet_Blended - accuracy (63.26%)
PVSNet_Blended - completeness (65.45%)
PVSNet_BlendedMVS
PVSNet_BlendedMVS - accuracy (63.26%)
PVSNet_BlendedMVS - completeness (65.45%)
PVSNet_Blended_VisFu
PVSNet_Blended_VisFu - accuracy (71.23%)
PVSNet_Blended_VisFu - completeness (61.80%)
QAPM
QAPM - accuracy (61.94%)
QAPM - completeness (70.63%)
RPMNet
RPMNet - accuracy (69.44%)
RPMNet - completeness (38.13%)
RPSCF
RPSCF - accuracy (66.29%)
RPSCF - completeness (41.26%)
SCA
SCA - accuracy (68.94%)
SCA - completeness (43.66%)
SD-MVS
SD-MVS - accuracy (75.34%)
SD-MVS - completeness (73.85%)
SED-MVS
SED-MVS - accuracy (75.98%)
SED-MVS - completeness (76.83%)
SF-MVS
SF-MVS - accuracy (71.80%)
SF-MVS - completeness (79.94%)
SMA-MVS
SMA-MVS - accuracy (77.34%)
SMA-MVS - completeness (73.16%)
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 (80.80%)
SR-MVS - completeness (67.54%)
SteuartSystems-ACMMP
SteuartSystems-ACMMP - accuracy (78.00%)
SteuartSystems-ACMMP - completeness (70.95%)
TAMVS
TAMVS - accuracy (45.13%)
TAMVS - completeness (52.98%)
TAPA-MVS
TAPA-MVS - accuracy (64.22%)
TAPA-MVS - completeness (62.10%)
TDRefinement
TDRefinement - accuracy (78.23%)
TDRefinement - completeness (54.94%)
test-mter
test-mter - accuracy (26.57%)
test-mter - completeness (48.11%)
test1
test1 - accuracy (64.57%)
test1 - completeness (60.97%)
test123
test123 - accuracy (0.25%)
test123 - completeness (0.00%)
testgi
testgi - accuracy (51.78%)
testgi - completeness (54.81%)
TESTMET0.1,1
TESTMET0.1,1 - accuracy (26.91%)
TESTMET0.1,1 - completeness (55.36%)
testmvs
testmvs - accuracy (0.39%)
testmvs - completeness (0.01%)
test_part1
test_part1 - accuracy (70.06%)
test_part1 - completeness (56.25%)
thisisatest0515
thisisatest0515 - accuracy (61.37%)
thisisatest0515 - completeness (53.86%)
thisisatest0530
thisisatest0530 - accuracy (60.31%)
thisisatest0530 - completeness (57.98%)
TinyColmap
TinyColmap - accuracy (68.55%)
TinyColmap - completeness (52.96%)
tmp_tt
tmp_tt - accuracy (2.36%)
tmp_tt - completeness (2.08%)
tpm
tpm - accuracy (47.31%)
tpm - completeness (44.99%)
tpm cat1
tpm cat1 - accuracy (59.32%)
tpm cat1 - completeness (47.65%)
tpmrst
tpmrst - accuracy (51.88%)
tpmrst - completeness (45.05%)
train_agg
train_agg - accuracy (74.22%)
train_agg - completeness (72.89%)
TranMVSNet+NR-MVSNet
TranMVSNet+NR-MVSNet - accuracy (76.75%)
TranMVSNet+NR-MVSNet - completeness (63.78%)
TransMVSNet (Re)
TransMVSNet (Re) - accuracy (63.98%)
TransMVSNet (Re) - completeness (61.42%)
TSAR-MVS + ACMM
TSAR-MVS + ACMM - accuracy (79.48%)
TSAR-MVS + ACMM - completeness (66.72%)
TSAR-MVS + COLMAP
TSAR-MVS + COLMAP - accuracy (70.60%)
TSAR-MVS + COLMAP - completeness (61.83%)
TSAR-MVS + GP.
TSAR-MVS + GP. - accuracy (72.99%)
TSAR-MVS + GP. - completeness (67.71%)
TSAR-MVS + MP.
TSAR-MVS + MP. - accuracy (73.30%)
TSAR-MVS + MP. - completeness (73.62%)
tttt0517
tttt0517 - accuracy (60.31%)
tttt0517 - completeness (57.98%)
UA-Net
UA-Net - accuracy (77.45%)
UA-Net - completeness (57.47%)
uanet_test
uanet_test - accuracy (0.00%)
uanet_test - completeness (0.00%)
UGNet
UGNet - accuracy (69.51%)
UGNet - completeness (58.64%)
UniMVSNet (Re)
UniMVSNet (Re) - accuracy (76.50%)
UniMVSNet (Re) - completeness (61.24%)
UniMVSNet_ETH3D
UniMVSNet_ETH3D - accuracy (82.41%)
UniMVSNet_ETH3D - completeness (55.58%)
UniMVSNet_NR-MVSNet
UniMVSNet_NR-MVSNet - accuracy (76.47%)
UniMVSNet_NR-MVSNet - completeness (63.94%)
USDC
USDC - accuracy (66.17%)
USDC - completeness (55.36%)
Vis-MVSNet
Vis-MVSNet - accuracy (69.49%)
Vis-MVSNet - completeness (55.47%)
Vis-MVSNet (Re-imp)
Vis-MVSNet (Re-imp) - accuracy (69.59%)
Vis-MVSNet (Re-imp) - completeness (57.49%)
WR-MVS_H
WR-MVS_H - accuracy (83.23%)
WR-MVS_H - completeness (54.94%)
X-MVS
X-MVS - accuracy (78.88%)
X-MVS - completeness (68.98%)
xxxxxxxxxxxxxcwj
xxxxxxxxxxxxxcwj - accuracy (71.80%)
xxxxxxxxxxxxxcwj - completeness (79.94%)
zzz-MVS
zzz-MVS - accuracy (79.00%)
zzz-MVS - completeness (69.90%)
Materials
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
Elevation range
:
-5.83 to 81.87
Transition
transition:
Intensity
Range:
0 to 300
Gamma:
1.00
Brightness:
0.00
Contrast:
0.00
Appearance
Point budget
:
1,000,000
Point size
:
1.00
Field of view
:
60
Opacity
:
1.00
Point sizing
Fixed
Attenuated
Adaptive
Adaptive
Quality
Squares
Circles
Interpolation
Squares
Eye-Dome-Lighting
Enable
Radius
:
1.4
Strength
:
1.0
Background
Gradient
Black
White
Tools
Navigation
Speed
:
60.8
Measurements
About this viewer
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