+
−
⇧
i
D
T
facade (high-res multi-view) - Tolerance 1cm
Height profile
Point number
:
-
Visualizations
Ground Truth (full)
Ground Truth (dslr eval)
3Dnovator
3Dnovator - accuracy (39.57%)
3Dnovator - completeness (54.25%)
3Dnovator+
3Dnovator+ - accuracy (56.01%)
3Dnovator+ - completeness (49.82%)
ACMH
ACMH - accuracy (46.43%)
ACMH - completeness (52.13%)
ACMH+
ACMH+ - accuracy (54.82%)
ACMH+ - completeness (47.55%)
ACMM
ACMM - accuracy (60.76%)
ACMM - completeness (49.02%)
ACMMP
ACMMP - accuracy (60.35%)
ACMMP - completeness (48.77%)
ACMMPR
ACMMPR - accuracy (63.14%)
ACMMPR - completeness (50.92%)
ACMMP_NAP
ACMMP_NAP - accuracy (59.66%)
ACMMP_NAP - completeness (54.73%)
ACMP
ACMP - accuracy (58.63%)
ACMP - completeness (48.85%)
AdaColmap
AdaColmap - accuracy (53.08%)
AdaColmap - completeness (54.09%)
ADS-MVSNet
ADS-MVSNet - accuracy (33.44%)
ADS-MVSNet - completeness (31.93%)
Anonymous20231206
Anonymous20231206 - accuracy (34.12%)
Anonymous20231206 - completeness (44.98%)
Anonymous202405211
Anonymous202405211 - accuracy (45.87%)
Anonymous202405211 - completeness (48.68%)
anonymousdsp
anonymousdsp - accuracy (32.58%)
anonymousdsp - completeness (34.56%)
APD-MVS
APD-MVS - accuracy (58.81%)
APD-MVS - completeness (56.14%)
APDe-MVS
APDe-MVS - accuracy (57.05%)
APDe-MVS - completeness (58.18%)
baseline1
baseline1 - accuracy (40.45%)
baseline1 - completeness (50.59%)
baseline2
baseline2 - accuracy (34.23%)
baseline2 - completeness (49.42%)
Baseline_NR-MVSNet
Baseline_NR-MVSNet - accuracy (53.40%)
Baseline_NR-MVSNet - completeness (50.36%)
CANet
CANet - accuracy (47.10%)
CANet - completeness (48.73%)
CANet_DTU
CANet_DTU - accuracy (36.77%)
CANet_DTU - completeness (37.32%)
canonicalmvs
canonicalmvs - accuracy (42.55%)
canonicalmvs - completeness (43.82%)
casdiffmvs
casdiffmvs - accuracy (41.38%)
casdiffmvs - completeness (48.01%)
CDPH-MVS
CDPH-MVS - accuracy (54.02%)
CDPH-MVS - completeness (55.42%)
CDS-MVSNet
CDS-MVSNet - accuracy (51.61%)
CDS-MVSNet - completeness (42.27%)
CHOSEN 1792x2688
CHOSEN 1792x2688 - accuracy (33.85%)
CHOSEN 1792x2688 - completeness (53.77%)
CHOSEN 280x420
CHOSEN 280x420 - accuracy (21.21%)
CHOSEN 280x420 - completeness (26.88%)
CLD-MVS
CLD-MVS - accuracy (32.91%)
CLD-MVS - completeness (47.59%)
CMPMVS
CMPMVS - accuracy (32.82%)
CMPMVS - completeness (26.48%)
CNLPA
CNLPA - accuracy (46.11%)
CNLPA - completeness (37.27%)
CNVR-MVS
CNVR-MVS - accuracy (55.11%)
CNVR-MVS - completeness (59.29%)
COLMAP_ROB
COLMAP_ROB - accuracy (54.21%)
COLMAP_ROB - completeness (27.60%)
CostFormer
CostFormer - accuracy (33.78%)
CostFormer - completeness (38.42%)
CP-MVS
CP-MVS - accuracy (64.48%)
CP-MVS - completeness (49.51%)
CP-MVSNet
CP-MVSNet - accuracy (61.18%)
CP-MVSNet - completeness (43.05%)
CPTT-MVS
CPTT-MVS - accuracy (62.59%)
CPTT-MVS - completeness (44.59%)
CR-MVSNet
CR-MVSNet - accuracy (44.97%)
CR-MVSNet - completeness (34.21%)
CS-MVS
CS-MVS - accuracy (43.28%)
CS-MVS - completeness (43.72%)
CSCG
CSCG - accuracy (47.19%)
CSCG - completeness (60.00%)
CVMVSNet
CVMVSNet - accuracy (41.95%)
CVMVSNet - completeness (34.20%)
DCV-MVSNet
DCV-MVSNet - accuracy (42.72%)
DCV-MVSNet - completeness (44.87%)
DeepC-MVS
DeepC-MVS - accuracy (63.54%)
DeepC-MVS - completeness (55.56%)
DeepC-MVS_fast
DeepC-MVS_fast - accuracy (56.56%)
DeepC-MVS_fast - completeness (52.31%)
DeepMVS_CX
DeepMVS_CX - accuracy (3.19%)
DeepMVS_CX - completeness (1.74%)
DeepPCF-MVS
DeepPCF-MVS - accuracy (56.24%)
DeepPCF-MVS - completeness (52.23%)
DELS-MVS
DELS-MVS - accuracy (38.69%)
DELS-MVS - completeness (55.02%)
diffmvs
diffmvs - accuracy (36.74%)
diffmvs - completeness (47.06%)
DPE-MVS
DPE-MVS - accuracy (57.92%)
DPE-MVS - completeness (57.70%)
DPM-MVS
DPM-MVS - accuracy (50.56%)
DPM-MVS - completeness (59.89%)
dps
dps - accuracy (40.52%)
dps - completeness (37.38%)
DTE-MVSNet
DTE-MVSNet - accuracy (61.78%)
DTE-MVSNet - completeness (44.39%)
DU-MVS
DU-MVS - accuracy (56.76%)
DU-MVS - completeness (47.63%)
DVP-MVS
DVP-MVS - accuracy (55.79%)
DVP-MVS - completeness (60.31%)
E-PMN
E-PMN - accuracy (25.85%)
E-PMN - completeness (29.47%)
Effi-MVS+
Effi-MVS+ - accuracy (43.97%)
Effi-MVS+ - completeness (47.59%)
Effi-MVS+-dtu
Effi-MVS+-dtu - accuracy (44.49%)
Effi-MVS+-dtu - completeness (40.24%)
EG-PatchMatch MVS
EG-PatchMatch MVS - accuracy (43.25%)
EG-PatchMatch MVS - completeness (44.01%)
EIA-MVS
EIA-MVS - accuracy (40.82%)
EIA-MVS - completeness (43.56%)
EMVS
EMVS - accuracy (25.33%)
EMVS - completeness (29.34%)
EPMVS
EPMVS - accuracy (32.39%)
EPMVS - completeness (34.20%)
EPNet
EPNet - accuracy (61.03%)
EPNet - completeness (50.58%)
EPNet_dtu
EPNet_dtu - accuracy (38.74%)
EPNet_dtu - completeness (43.13%)
EPP-MVSNet
EPP-MVSNet - accuracy (46.98%)
EPP-MVSNet - completeness (42.71%)
ET-MVSNet_ETH3D
ET-MVSNet_ETH3D - accuracy (41.20%)
ET-MVSNet_ETH3D - completeness (46.80%)
ETV-MVS
ETV-MVS - accuracy (45.31%)
ETV-MVS - completeness (43.96%)
EU-MVSNet
EU-MVSNet - accuracy (32.28%)
EU-MVSNet - completeness (35.99%)
Fast-Effi-MVS+
Fast-Effi-MVS+ - accuracy (39.94%)
Fast-Effi-MVS+ - completeness (34.66%)
Fast-Effi-MVS+-dtu
Fast-Effi-MVS+-dtu - accuracy (53.24%)
Fast-Effi-MVS+-dtu - completeness (23.79%)
FC-MVSNet-test
FC-MVSNet-test - accuracy (41.68%)
FC-MVSNet-test - completeness (39.27%)
FC-MVSNet-train
FC-MVSNet-train - accuracy (41.92%)
FC-MVSNet-train - completeness (52.14%)
FMVSNet1
FMVSNet1 - accuracy (44.14%)
FMVSNet1 - completeness (43.74%)
FMVSNet2
FMVSNet2 - accuracy (42.37%)
FMVSNet2 - completeness (45.95%)
FMVSNet3
FMVSNet3 - accuracy (41.75%)
FMVSNet3 - completeness (46.61%)
FMVSNet5
FMVSNet5 - accuracy (23.55%)
FMVSNet5 - completeness (37.19%)
FPMVS
FPMVS - accuracy (46.92%)
FPMVS - completeness (17.79%)
GA-MVS
GA-MVS - accuracy (36.65%)
GA-MVS - completeness (44.39%)
GBi-Net
GBi-Net - accuracy (41.75%)
GBi-Net - completeness (46.61%)
GG-mvs-BLEND
GG-mvs-BLEND - accuracy (0.08%)
GG-mvs-BLEND - completeness (0.01%)
gg-mvs-nofinetune
gg-mvs-nofinetune - accuracy (52.52%)
gg-mvs-nofinetune - completeness (34.48%)
Gipuma
Gipuma - accuracy (45.92%)
Gipuma - completeness (27.78%)
gm-plane-assit
gm-plane-assit - accuracy (30.54%)
gm-plane-assit - completeness (34.15%)
HFP-MVS
HFP-MVS - accuracy (63.30%)
HFP-MVS - completeness (51.22%)
HPM-MVS++
HPM-MVS++ - accuracy (61.31%)
HPM-MVS++ - completeness (55.67%)
HQP-MVS
HQP-MVS - accuracy (53.35%)
HQP-MVS - completeness (52.98%)
HyFIR lowres test
HyFIR lowres test - accuracy (39.74%)
HyFIR lowres test - completeness (45.00%)
IB-MVS
IB-MVS - accuracy (37.90%)
IB-MVS - completeness (50.10%)
IS_MVSNet
IS_MVSNet - accuracy (48.33%)
IS_MVSNet - completeness (42.84%)
IterMVS
IterMVS - accuracy (32.85%)
IterMVS - completeness (36.62%)
IterMVS-LS
IterMVS-LS - accuracy (48.02%)
IterMVS-LS - completeness (39.98%)
IterMVS-SCA-FT
IterMVS-SCA-FT - accuracy (38.12%)
IterMVS-SCA-FT - completeness (31.93%)
LGP-MVS_train
LGP-MVS_train - accuracy (61.16%)
LGP-MVS_train - completeness (48.15%)
LS3D
LS3D - accuracy (52.94%)
LS3D - completeness (45.33%)
LTVRE_ROB
LTVRE_ROB - accuracy (62.99%)
LTVRE_ROB - completeness (33.23%)
MAR-MVS
MAR-MVS - accuracy (49.49%)
MAR-MVS - completeness (51.51%)
MCST-MVS
MCST-MVS - accuracy (48.58%)
MCST-MVS - completeness (62.16%)
MDA-MVSNet-bldmvs
MDA-MVSNet-bldmvs - accuracy (38.85%)
MDA-MVSNet-bldmvs - completeness (43.03%)
MDTV_nov1_ep13
MDTV_nov1_ep13 - accuracy (30.96%)
MDTV_nov1_ep13 - completeness (38.42%)
MDTV_nov1_ep13_2view
MDTV_nov1_ep13_2view - accuracy (33.41%)
MDTV_nov1_ep13_2view - completeness (34.20%)
MIMVSNet
MIMVSNet - accuracy (30.68%)
MIMVSNet - completeness (35.43%)
MIMVSNet1
MIMVSNet1 - accuracy (30.52%)
MIMVSNet1 - completeness (37.92%)
MP-MVS
MP-MVS - accuracy (63.48%)
MP-MVS - completeness (50.92%)
MS-PatchMatch
MS-PatchMatch - accuracy (37.18%)
MS-PatchMatch - completeness (46.91%)
MSDG
MSDG - accuracy (40.77%)
MSDG - completeness (44.02%)
MSLP-MVS++
MSLP-MVS++ - accuracy (55.58%)
MSLP-MVS++ - completeness (38.89%)
MSP-MVS
MSP-MVS - accuracy (60.49%)
MSP-MVS - completeness (55.44%)
MVE
MVE - accuracy (23.88%)
MVE - completeness (23.57%)
MVS-HIRNet
MVS-HIRNet - accuracy (36.96%)
MVS-HIRNet - completeness (33.88%)
MVSTER
MVSTER - accuracy (31.74%)
MVSTER - completeness (46.88%)
MVS_0304
MVS_0304 - accuracy (49.62%)
MVS_0304 - completeness (45.75%)
MVS_111021_LR
MVS_111021_LR - accuracy (46.24%)
MVS_111021_LR - completeness (41.21%)
MVS_Test
MVS_Test - accuracy (38.83%)
MVS_Test - completeness (45.17%)
NCCC
NCCC - accuracy (56.36%)
NCCC - completeness (57.83%)
new-patchmatchnet
new-patchmatchnet - accuracy (33.31%)
new-patchmatchnet - completeness (39.29%)
new_pmnet
new_pmnet - accuracy (19.24%)
new_pmnet - completeness (13.94%)
NR-MVSNet
NR-MVSNet - accuracy (56.76%)
NR-MVSNet - completeness (47.63%)
N_pmnet
N_pmnet - accuracy (21.49%)
N_pmnet - completeness (35.57%)
OMC-MVS
OMC-MVS - accuracy (48.13%)
OMC-MVS - completeness (31.78%)
OpenMVS
OpenMVS - accuracy (37.54%)
OpenMVS - completeness (50.51%)
OPM-MVS
OPM-MVS - accuracy (58.67%)
OPM-MVS - completeness (54.18%)
PatchMatch-RL
PatchMatch-RL - accuracy (41.99%)
PatchMatch-RL - completeness (35.75%)
PatchmatchNet
PatchmatchNet - accuracy (38.94%)
PatchmatchNet - completeness (36.41%)
Patchmtry
Patchmtry - accuracy (44.97%)
Patchmtry - completeness (34.21%)
PatchT
PatchT - accuracy (37.56%)
PatchT - completeness (32.92%)
PCF-MVS
PCF-MVS - accuracy (50.40%)
PCF-MVS - completeness (48.71%)
PEN-MVS
PEN-MVS - accuracy (61.03%)
PEN-MVS - completeness (44.35%)
PGM-MVS
PGM-MVS - accuracy (63.06%)
PGM-MVS - completeness (48.18%)
PHI-MVS
PHI-MVS - accuracy (50.55%)
PHI-MVS - completeness (48.14%)
PLC
PLC - accuracy (48.84%)
PLC - completeness (34.46%)
PM-MVS
PM-MVS - accuracy (38.55%)
PM-MVS - completeness (23.61%)
pm-mvs1
pm-mvs1 - accuracy (42.44%)
pm-mvs1 - completeness (42.68%)
PMMVS
PMMVS - accuracy (19.88%)
PMMVS - completeness (37.96%)
pmmvs-eth3d
pmmvs-eth3d - accuracy (46.45%)
pmmvs-eth3d - completeness (40.81%)
PMMVS2
PMMVS2 - accuracy (16.26%)
PMMVS2 - completeness (19.29%)
pmmvs3
pmmvs3 - accuracy (15.34%)
pmmvs3 - completeness (22.05%)
pmmvs5
pmmvs5 - accuracy (29.43%)
pmmvs5 - completeness (37.78%)
pmmvs6
pmmvs6 - accuracy (45.59%)
pmmvs6 - completeness (39.22%)
pmnet_mix02
pmnet_mix02 - accuracy (27.60%)
pmnet_mix02 - completeness (41.57%)
PMVS
PMVS - accuracy (56.25%)
PMVS - completeness (17.31%)
PS-CasMVS
PS-CasMVS - accuracy (61.28%)
PS-CasMVS - completeness (42.97%)
PVSNet_Blended
PVSNet_Blended - accuracy (43.75%)
PVSNet_Blended - completeness (48.67%)
PVSNet_BlendedMVS
PVSNet_BlendedMVS - accuracy (43.75%)
PVSNet_BlendedMVS - completeness (48.67%)
PVSNet_Blended_VisFu
PVSNet_Blended_VisFu - accuracy (52.10%)
PVSNet_Blended_VisFu - completeness (46.16%)
QAPM
QAPM - accuracy (41.17%)
QAPM - completeness (55.38%)
RPMNet
RPMNet - accuracy (46.70%)
RPMNet - completeness (26.63%)
RPSCF
RPSCF - accuracy (47.45%)
RPSCF - completeness (13.33%)
SCA
SCA - accuracy (46.89%)
SCA - completeness (33.45%)
SD-MVS
SD-MVS - accuracy (56.93%)
SD-MVS - completeness (53.65%)
SED-MVS
SED-MVS - accuracy (56.45%)
SED-MVS - completeness (59.97%)
SF-MVS
SF-MVS - accuracy (51.81%)
SF-MVS - completeness (64.58%)
SMA-MVS
SMA-MVS - accuracy (60.61%)
SMA-MVS - completeness (56.09%)
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 (62.63%)
SR-MVS - completeness (48.51%)
SteuartSystems-ACMMP
SteuartSystems-ACMMP - accuracy (61.03%)
SteuartSystems-ACMMP - completeness (55.24%)
TAMVS
TAMVS - accuracy (25.76%)
TAMVS - completeness (31.82%)
TAPA-MVS
TAPA-MVS - accuracy (44.75%)
TAPA-MVS - completeness (30.83%)
TDRefinement
TDRefinement - accuracy (61.08%)
TDRefinement - completeness (29.49%)
test-mter
test-mter - accuracy (13.91%)
test-mter - completeness (28.05%)
test1
test1 - accuracy (41.75%)
test1 - completeness (46.61%)
test123
test123 - accuracy (0.13%)
test123 - completeness (0.00%)
testgi
testgi - accuracy (30.49%)
testgi - completeness (41.21%)
TESTMET0.1,1
TESTMET0.1,1 - accuracy (14.17%)
TESTMET0.1,1 - completeness (35.95%)
testmvs
testmvs - accuracy (0.16%)
testmvs - completeness (0.00%)
test_part1
test_part1 - accuracy (47.16%)
test_part1 - completeness (43.70%)
thisisatest0515
thisisatest0515 - accuracy (38.81%)
thisisatest0515 - completeness (41.06%)
thisisatest0530
thisisatest0530 - accuracy (38.02%)
thisisatest0530 - completeness (43.34%)
TinyColmap
TinyColmap - accuracy (49.30%)
TinyColmap - completeness (34.65%)
tmp_tt
tmp_tt - accuracy (1.14%)
tmp_tt - completeness (0.27%)
tpm
tpm - accuracy (26.84%)
tpm - completeness (34.60%)
tpm cat1
tpm cat1 - accuracy (38.12%)
tpm cat1 - completeness (38.43%)
tpmrst
tpmrst - accuracy (32.17%)
tpmrst - completeness (35.38%)
train_agg
train_agg - accuracy (56.32%)
train_agg - completeness (55.78%)
TranMVSNet+NR-MVSNet
TranMVSNet+NR-MVSNet - accuracy (55.27%)
TranMVSNet+NR-MVSNet - completeness (50.88%)
TransMVSNet (Re)
TransMVSNet (Re) - accuracy (42.23%)
TransMVSNet (Re) - completeness (48.47%)
TSAR-MVS + ACMM
TSAR-MVS + ACMM - accuracy (62.95%)
TSAR-MVS + ACMM - completeness (39.84%)
TSAR-MVS + COLMAP
TSAR-MVS + COLMAP - accuracy (52.43%)
TSAR-MVS + COLMAP - completeness (34.15%)
TSAR-MVS + GP.
TSAR-MVS + GP. - accuracy (54.11%)
TSAR-MVS + GP. - completeness (47.79%)
TSAR-MVS + MP.
TSAR-MVS + MP. - accuracy (55.12%)
TSAR-MVS + MP. - completeness (56.29%)
tttt0517
tttt0517 - accuracy (38.02%)
tttt0517 - completeness (43.34%)
UA-Net
UA-Net - accuracy (55.70%)
UA-Net - completeness (38.68%)
uanet_test
uanet_test - accuracy (0.00%)
uanet_test - completeness (0.00%)
UGNet
UGNet - accuracy (48.21%)
UGNet - completeness (39.26%)
UniMVSNet (Re)
UniMVSNet (Re) - accuracy (54.74%)
UniMVSNet (Re) - completeness (47.10%)
UniMVSNet_ETH3D
UniMVSNet_ETH3D - accuracy (60.24%)
UniMVSNet_ETH3D - completeness (38.18%)
UniMVSNet_NR-MVSNet
UniMVSNet_NR-MVSNet - accuracy (55.00%)
UniMVSNet_NR-MVSNet - completeness (51.01%)
USDC
USDC - accuracy (46.98%)
USDC - completeness (36.21%)
Vis-MVSNet
Vis-MVSNet - accuracy (48.58%)
Vis-MVSNet - completeness (39.09%)
Vis-MVSNet (Re-imp)
Vis-MVSNet (Re-imp) - accuracy (49.52%)
Vis-MVSNet (Re-imp) - completeness (41.63%)
WR-MVS_H
WR-MVS_H - accuracy (61.78%)
WR-MVS_H - completeness (41.11%)
X-MVS
X-MVS - accuracy (62.50%)
X-MVS - completeness (50.53%)
xxxxxxxxxxxxxcwj
xxxxxxxxxxxxxcwj - accuracy (51.81%)
xxxxxxxxxxxxxcwj - completeness (64.58%)
zzz-MVS
zzz-MVS - accuracy (62.39%)
zzz-MVS - completeness (51.54%)
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
:
-31.27 to 466.76
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
:
363.9
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