+
−
⇧
i
D
T
office (high-res multi-view) - Tolerance 5cm
Height profile
Point number
:
-
Visualizations
Ground Truth (full)
Ground Truth (dslr eval)
3Dnovator
3Dnovator - accuracy (92.19%)
3Dnovator - completeness (62.28%)
3Dnovator+
3Dnovator+ - accuracy (92.09%)
3Dnovator+ - completeness (62.80%)
ACMH
ACMH - accuracy (98.07%)
ACMH - completeness (53.28%)
ACMH+
ACMH+ - accuracy (97.31%)
ACMH+ - completeness (50.37%)
ACMM
ACMM - accuracy (92.80%)
ACMM - completeness (63.82%)
ACMMP
ACMMP - accuracy (93.23%)
ACMMP - completeness (89.88%)
ACMMPR
ACMMPR - accuracy (95.04%)
ACMMPR - completeness (92.08%)
ACMMP_NAP
ACMMP_NAP - accuracy (95.61%)
ACMMP_NAP - completeness (90.53%)
ACMP
ACMP - accuracy (94.29%)
ACMP - completeness (78.41%)
AdaColmap
AdaColmap - accuracy (82.82%)
AdaColmap - completeness (74.33%)
ADS-MVSNet
ADS-MVSNet - accuracy (87.58%)
ADS-MVSNet - completeness (55.40%)
ambc
ambc - accuracy (96.26%)
ambc - completeness (24.01%)
Anonymous20231206
Anonymous20231206 - accuracy (92.59%)
Anonymous20231206 - completeness (29.59%)
Anonymous202405211
Anonymous202405211 - accuracy (95.60%)
Anonymous202405211 - completeness (40.79%)
anonymousdsp
anonymousdsp - accuracy (98.63%)
anonymousdsp - completeness (49.39%)
APD-MVS
APD-MVS - accuracy (95.41%)
APD-MVS - completeness (93.66%)
APDe-MVS
APDe-MVS - accuracy (97.73%)
APDe-MVS - completeness (95.25%)
baseline1
baseline1 - accuracy (90.45%)
baseline1 - completeness (64.27%)
baseline2
baseline2 - accuracy (82.49%)
baseline2 - completeness (68.89%)
Baseline_NR-MVSNet
Baseline_NR-MVSNet - accuracy (98.77%)
Baseline_NR-MVSNet - completeness (41.28%)
CANet
CANet - accuracy (94.05%)
CANet - completeness (72.32%)
CANet_DTU
CANet_DTU - accuracy (89.19%)
CANet_DTU - completeness (77.86%)
canonicalmvs
canonicalmvs - accuracy (88.66%)
canonicalmvs - completeness (76.43%)
casdiffmvs
casdiffmvs - accuracy (97.74%)
casdiffmvs - completeness (61.92%)
CDPH-MVS
CDPH-MVS - accuracy (92.83%)
CDPH-MVS - completeness (85.80%)
CDS-MVSNet
CDS-MVSNet - accuracy (91.05%)
CDS-MVSNet - completeness (58.60%)
CHOSEN 1792x2688
CHOSEN 1792x2688 - accuracy (87.93%)
CHOSEN 1792x2688 - completeness (37.43%)
CHOSEN 280x420
CHOSEN 280x420 - accuracy (75.57%)
CHOSEN 280x420 - completeness (74.50%)
CLD-MVS
CLD-MVS - accuracy (95.86%)
CLD-MVS - completeness (71.43%)
CMPMVS
CMPMVS - accuracy (85.09%)
CMPMVS - completeness (38.91%)
CNLPA
CNLPA - accuracy (90.94%)
CNLPA - completeness (56.28%)
CNVR-MVS
CNVR-MVS - accuracy (90.51%)
CNVR-MVS - completeness (91.32%)
COLMAP_ROB
COLMAP_ROB - accuracy (98.14%)
COLMAP_ROB - completeness (45.60%)
CostFormer
CostFormer - accuracy (87.89%)
CostFormer - completeness (62.46%)
CP-MVS
CP-MVS - accuracy (92.71%)
CP-MVS - completeness (89.18%)
CP-MVSNet
CP-MVSNet - accuracy (97.98%)
CP-MVSNet - completeness (44.00%)
CPTT-MVS
CPTT-MVS - accuracy (85.87%)
CPTT-MVS - completeness (83.93%)
CR-MVSNet
CR-MVSNet - accuracy (90.41%)
CR-MVSNet - completeness (50.00%)
CS-MVS
CS-MVS - accuracy (81.09%)
CS-MVS - completeness (80.94%)
CSCG
CSCG - accuracy (97.13%)
CSCG - completeness (78.24%)
CVMVSNet
CVMVSNet - accuracy (95.55%)
CVMVSNet - completeness (54.94%)
DCV-MVSNet
DCV-MVSNet - accuracy (89.71%)
DCV-MVSNet - completeness (66.21%)
DeepC-MVS
DeepC-MVS - accuracy (98.31%)
DeepC-MVS - completeness (70.02%)
DeepC-MVS_fast
DeepC-MVS_fast - accuracy (94.14%)
DeepC-MVS_fast - completeness (77.91%)
DeepMVS_CX
DeepMVS_CX - accuracy (66.50%)
DeepMVS_CX - completeness (36.95%)
DeepPCF-MVS
DeepPCF-MVS - accuracy (95.29%)
DeepPCF-MVS - completeness (85.11%)
DELS-MVS
DELS-MVS - accuracy (95.78%)
DELS-MVS - completeness (67.17%)
diffmvs
diffmvs - accuracy (96.69%)
diffmvs - completeness (66.78%)
DPE-MVS
DPE-MVS - accuracy (97.55%)
DPE-MVS - completeness (96.70%)
DPM-MVS
DPM-MVS - accuracy (81.95%)
DPM-MVS - completeness (81.31%)
dps
dps - accuracy (86.80%)
dps - completeness (57.37%)
DTE-MVSNet
DTE-MVSNet - accuracy (98.66%)
DTE-MVSNet - completeness (44.03%)
DU-MVS
DU-MVS - accuracy (97.46%)
DU-MVS - completeness (49.10%)
DVP-MVS
DVP-MVS - accuracy (97.32%)
DVP-MVS - completeness (92.81%)
E-PMN
E-PMN - accuracy (88.09%)
E-PMN - completeness (8.04%)
Effi-MVS+
Effi-MVS+ - accuracy (90.24%)
Effi-MVS+ - completeness (62.03%)
Effi-MVS+-dtu
Effi-MVS+-dtu - accuracy (88.13%)
Effi-MVS+-dtu - completeness (59.86%)
EG-PatchMatch MVS
EG-PatchMatch MVS - accuracy (97.04%)
EG-PatchMatch MVS - completeness (36.22%)
EIA-MVS
EIA-MVS - accuracy (86.70%)
EIA-MVS - completeness (74.33%)
EMVS
EMVS - accuracy (89.38%)
EMVS - completeness (7.56%)
EPMVS
EPMVS - accuracy (89.59%)
EPMVS - completeness (61.24%)
EPNet
EPNet - accuracy (86.98%)
EPNet - completeness (87.60%)
EPNet_dtu
EPNet_dtu - accuracy (86.33%)
EPNet_dtu - completeness (77.40%)
EPP-MVSNet
EPP-MVSNet - accuracy (94.95%)
EPP-MVSNet - completeness (67.01%)
ET-MVSNet_ETH3D
ET-MVSNet_ETH3D - accuracy (89.15%)
ET-MVSNet_ETH3D - completeness (78.37%)
ETV-MVS
ETV-MVS - accuracy (85.29%)
ETV-MVS - completeness (80.35%)
EU-MVSNet
EU-MVSNet - accuracy (96.44%)
EU-MVSNet - completeness (46.70%)
Fast-Effi-MVS+
Fast-Effi-MVS+ - accuracy (92.81%)
Fast-Effi-MVS+ - completeness (55.07%)
Fast-Effi-MVS+-dtu
Fast-Effi-MVS+-dtu - accuracy (84.68%)
Fast-Effi-MVS+-dtu - completeness (60.28%)
FC-MVSNet-test
FC-MVSNet-test - accuracy (98.37%)
FC-MVSNet-test - completeness (61.79%)
FC-MVSNet-train
FC-MVSNet-train - accuracy (97.72%)
FC-MVSNet-train - completeness (65.87%)
FMVSNet1
FMVSNet1 - accuracy (96.76%)
FMVSNet1 - completeness (42.39%)
FMVSNet2
FMVSNet2 - accuracy (94.38%)
FMVSNet2 - completeness (50.63%)
FMVSNet3
FMVSNet3 - accuracy (90.58%)
FMVSNet3 - completeness (56.55%)
FMVSNet5
FMVSNet5 - accuracy (65.97%)
FMVSNet5 - completeness (53.32%)
FPMVS
FPMVS - accuracy (88.96%)
FPMVS - completeness (30.22%)
GA-MVS
GA-MVS - accuracy (92.51%)
GA-MVS - completeness (54.41%)
GBi-Net
GBi-Net - accuracy (90.58%)
GBi-Net - completeness (56.55%)
GG-mvs-BLEND
GG-mvs-BLEND - accuracy (68.78%)
GG-mvs-BLEND - completeness (73.90%)
gg-mvs-nofinetune
gg-mvs-nofinetune - accuracy (97.38%)
gg-mvs-nofinetune - completeness (30.49%)
Gipuma
Gipuma - accuracy (95.56%)
Gipuma - completeness (8.08%)
gm-plane-assit
gm-plane-assit - accuracy (97.84%)
gm-plane-assit - completeness (33.22%)
HFP-MVS
HFP-MVS - accuracy (95.05%)
HFP-MVS - completeness (93.15%)
HPM-MVS++
HPM-MVS++ - accuracy (93.38%)
HPM-MVS++ - completeness (93.52%)
HQP-MVS
HQP-MVS - accuracy (88.16%)
HQP-MVS - completeness (87.05%)
HyFIR lowres test
HyFIR lowres test - accuracy (89.52%)
HyFIR lowres test - completeness (33.52%)
IB-MVS
IB-MVS - accuracy (71.99%)
IB-MVS - completeness (58.93%)
IS_MVSNet
IS_MVSNet - accuracy (93.15%)
IS_MVSNet - completeness (65.59%)
IterMVS
IterMVS - accuracy (95.61%)
IterMVS - completeness (55.88%)
IterMVS-LS
IterMVS-LS - accuracy (97.19%)
IterMVS-LS - completeness (57.84%)
IterMVS-SCA-FT
IterMVS-SCA-FT - accuracy (95.76%)
IterMVS-SCA-FT - completeness (55.77%)
LGP-MVS_train
LGP-MVS_train - accuracy (95.05%)
LGP-MVS_train - completeness (79.52%)
LS3D
LS3D - accuracy (94.88%)
LS3D - completeness (57.67%)
LTVRE_ROB
LTVRE_ROB - accuracy (97.97%)
LTVRE_ROB - completeness (49.12%)
MAR-MVS
MAR-MVS - accuracy (84.51%)
MAR-MVS - completeness (70.93%)
MCST-MVS
MCST-MVS - accuracy (90.28%)
MCST-MVS - completeness (91.38%)
MDA-MVSNet-bldmvs
MDA-MVSNet-bldmvs - accuracy (95.86%)
MDA-MVSNet-bldmvs - completeness (37.93%)
MDTV_nov1_ep13
MDTV_nov1_ep13 - accuracy (88.70%)
MDTV_nov1_ep13 - completeness (65.52%)
MDTV_nov1_ep13_2view
MDTV_nov1_ep13_2view - accuracy (96.11%)
MDTV_nov1_ep13_2view - completeness (44.02%)
MIMVSNet
MIMVSNet - accuracy (87.93%)
MIMVSNet - completeness (39.47%)
MIMVSNet1
MIMVSNet1 - accuracy (96.64%)
MIMVSNet1 - completeness (22.73%)
MP-MVS
MP-MVS - accuracy (94.32%)
MP-MVS - completeness (91.38%)
MS-PatchMatch
MS-PatchMatch - accuracy (90.14%)
MS-PatchMatch - completeness (50.05%)
MSDG
MSDG - accuracy (94.70%)
MSDG - completeness (51.43%)
MSLP-MVS++
MSLP-MVS++ - accuracy (87.42%)
MSLP-MVS++ - completeness (75.94%)
MSP-MVS
MSP-MVS - accuracy (95.36%)
MSP-MVS - completeness (96.98%)
MVE
MVE - accuracy (86.31%)
MVE - completeness (7.84%)
MVS-HIRNet
MVS-HIRNet - accuracy (89.57%)
MVS-HIRNet - completeness (29.83%)
MVSTER
MVSTER - accuracy (85.97%)
MVSTER - completeness (76.70%)
MVS_0304
MVS_0304 - accuracy (94.04%)
MVS_0304 - completeness (72.19%)
MVS_111021_LR
MVS_111021_LR - accuracy (94.46%)
MVS_111021_LR - completeness (86.20%)
MVS_Test
MVS_Test - accuracy (94.62%)
MVS_Test - completeness (68.67%)
NCCC
NCCC - accuracy (83.83%)
NCCC - completeness (91.21%)
new-patchmatchnet
new-patchmatchnet - accuracy (98.33%)
new-patchmatchnet - completeness (29.90%)
new_pmnet
new_pmnet - accuracy (91.77%)
new_pmnet - completeness (29.51%)
NR-MVSNet
NR-MVSNet - accuracy (97.46%)
NR-MVSNet - completeness (49.10%)
N_pmnet
N_pmnet - accuracy (95.54%)
N_pmnet - completeness (35.42%)
OMC-MVS
OMC-MVS - accuracy (94.02%)
OMC-MVS - completeness (72.27%)
OpenMVS
OpenMVS - accuracy (85.71%)
OpenMVS - completeness (55.84%)
OPM-MVS
OPM-MVS - accuracy (96.26%)
OPM-MVS - completeness (63.35%)
PatchMatch-RL
PatchMatch-RL - accuracy (87.10%)
PatchMatch-RL - completeness (64.38%)
PatchmatchNet
PatchmatchNet - accuracy (88.31%)
PatchmatchNet - completeness (62.08%)
PatchT
PatchT - accuracy (89.86%)
PatchT - completeness (46.84%)
PCF-MVS
PCF-MVS - accuracy (89.26%)
PCF-MVS - completeness (69.20%)
PEN-MVS
PEN-MVS - accuracy (98.66%)
PEN-MVS - completeness (44.09%)
PGM-MVS
PGM-MVS - accuracy (93.20%)
PGM-MVS - completeness (92.75%)
PHI-MVS
PHI-MVS - accuracy (94.55%)
PHI-MVS - completeness (90.35%)
PLC
PLC - accuracy (87.24%)
PLC - completeness (66.56%)
PM-MVS
PM-MVS - accuracy (95.87%)
PM-MVS - completeness (44.98%)
pm-mvs1
pm-mvs1 - accuracy (98.51%)
pm-mvs1 - completeness (41.83%)
PMMVS
PMMVS - accuracy (87.51%)
PMMVS - completeness (82.46%)
pmmvs-eth3d
pmmvs-eth3d - accuracy (97.13%)
pmmvs-eth3d - completeness (37.61%)
PMMVS2
PMMVS2 - accuracy (91.77%)
PMMVS2 - completeness (15.73%)
pmmvs3
pmmvs3 - accuracy (88.36%)
pmmvs3 - completeness (27.27%)
pmmvs5
pmmvs5 - accuracy (94.58%)
pmmvs5 - completeness (47.31%)
pmmvs6
pmmvs6 - accuracy (98.73%)
pmmvs6 - completeness (30.55%)
pmnet_mix02
pmnet_mix02 - accuracy (96.48%)
pmnet_mix02 - completeness (45.86%)
PMVS
PMVS - accuracy (97.16%)
PMVS - completeness (22.29%)
PS-CasMVS
PS-CasMVS - accuracy (98.52%)
PS-CasMVS - completeness (42.60%)
PVSNet_Blended
PVSNet_Blended - accuracy (88.54%)
PVSNet_Blended - completeness (71.54%)
PVSNet_BlendedMVS
PVSNet_BlendedMVS - accuracy (88.54%)
PVSNet_BlendedMVS - completeness (71.54%)
PVSNet_Blended_VisFu
PVSNet_Blended_VisFu - accuracy (95.29%)
PVSNet_Blended_VisFu - completeness (61.15%)
QAPM
QAPM - accuracy (92.24%)
QAPM - completeness (66.04%)
RPMNet
RPMNet - accuracy (79.80%)
RPMNet - completeness (53.03%)
RPSCF
RPSCF - accuracy (96.26%)
RPSCF - completeness (72.47%)
SCA
SCA - accuracy (86.83%)
SCA - completeness (64.22%)
SD-MVS
SD-MVS - accuracy (96.45%)
SD-MVS - completeness (93.53%)
SED-MVS
SED-MVS - accuracy (97.29%)
SED-MVS - completeness (94.71%)
SF-MVS
SF-MVS - accuracy (95.83%)
SF-MVS - completeness (95.96%)
SMA-MVS
SMA-MVS - accuracy (97.02%)
SMA-MVS - completeness (90.15%)
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 (94.50%)
SteuartSystems-ACMMP - completeness (94.34%)
TAMVS
TAMVS - accuracy (92.22%)
TAMVS - completeness (52.94%)
TAPA-MVS
TAPA-MVS - accuracy (90.16%)
TAPA-MVS - completeness (71.53%)
TDRefinement
TDRefinement - accuracy (98.12%)
TDRefinement - completeness (42.35%)
test-mter
test-mter - accuracy (83.73%)
test-mter - completeness (65.58%)
test1
test1 - accuracy (90.58%)
test1 - completeness (56.55%)
test123
test123 - accuracy (4.18%)
test123 - completeness (2.15%)
testgi
testgi - accuracy (87.16%)
testgi - completeness (56.96%)
TESTMET0.1,1
TESTMET0.1,1 - accuracy (83.17%)
TESTMET0.1,1 - completeness (66.26%)
testmvs
testmvs - accuracy (6.03%)
testmvs - completeness (2.13%)
test_part1
test_part1 - accuracy (99.06%)
test_part1 - completeness (38.77%)
thisisatest0515
thisisatest0515 - accuracy (96.84%)
thisisatest0515 - completeness (52.19%)
thisisatest0530
thisisatest0530 - accuracy (90.45%)
thisisatest0530 - completeness (68.79%)
TinyColmap
TinyColmap - accuracy (95.28%)
TinyColmap - completeness (44.53%)
tmp_tt
tmp_tt - accuracy (50.37%)
tmp_tt - completeness (63.07%)
tpm
tpm - accuracy (90.98%)
tpm - completeness (56.30%)
tpm cat1
tpm cat1 - accuracy (84.22%)
tpm cat1 - completeness (51.25%)
tpmrst
tpmrst - accuracy (90.84%)
tpmrst - completeness (55.87%)
train_agg
train_agg - accuracy (93.57%)
train_agg - completeness (95.06%)
TranMVSNet+NR-MVSNet
TranMVSNet+NR-MVSNet - accuracy (98.51%)
TranMVSNet+NR-MVSNet - completeness (48.42%)
TransMVSNet (Re)
TransMVSNet (Re) - accuracy (98.83%)
TransMVSNet (Re) - completeness (40.12%)
TSAR-MVS + ACMM
TSAR-MVS + ACMM - accuracy (97.18%)
TSAR-MVS + ACMM - completeness (92.31%)
TSAR-MVS + COLMAP
TSAR-MVS + COLMAP - accuracy (95.55%)
TSAR-MVS + COLMAP - completeness (88.25%)
TSAR-MVS + GP.
TSAR-MVS + GP. - accuracy (95.34%)
TSAR-MVS + GP. - completeness (91.87%)
TSAR-MVS + MP.
TSAR-MVS + MP. - accuracy (96.86%)
TSAR-MVS + MP. - completeness (93.16%)
tttt0517
tttt0517 - accuracy (90.37%)
tttt0517 - completeness (68.73%)
UA-Net
UA-Net - accuracy (96.23%)
UA-Net - completeness (68.44%)
uanet_test
uanet_test - accuracy (0.00%)
uanet_test - completeness (0.00%)
UGNet
UGNet - accuracy (95.31%)
UGNet - completeness (70.07%)
UniMVSNet (Re)
UniMVSNet (Re) - accuracy (97.64%)
UniMVSNet (Re) - completeness (48.65%)
UniMVSNet_ETH3D
UniMVSNet_ETH3D - accuracy (98.55%)
UniMVSNet_ETH3D - completeness (37.64%)
UniMVSNet_NR-MVSNet
UniMVSNet_NR-MVSNet - accuracy (97.51%)
UniMVSNet_NR-MVSNet - completeness (50.97%)
USDC
USDC - accuracy (94.10%)
USDC - completeness (59.60%)
Vis-MVSNet
Vis-MVSNet - accuracy (97.29%)
Vis-MVSNet - completeness (64.45%)
Vis-MVSNet (Re-imp)
Vis-MVSNet (Re-imp) - accuracy (93.96%)
Vis-MVSNet (Re-imp) - completeness (64.22%)
WR-MVS_H
WR-MVS_H - accuracy (98.55%)
WR-MVS_H - completeness (43.33%)
X-MVS
X-MVS - accuracy (86.89%)
X-MVS - completeness (89.56%)
xxxxxxxxxxxxxcwj
xxxxxxxxxxxxxcwj - accuracy (95.83%)
xxxxxxxxxxxxxcwj - completeness (95.96%)
zzz-MVS
zzz-MVS - accuracy (91.73%)
zzz-MVS - completeness (83.97%)
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
:
-574.97 to 5768.25
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
:
5749.4
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