+
−
⇧
i
D
T
office (high-res multi-view) - Tolerance 2cm
Height profile
Point number
:
-
Visualizations
Ground Truth (full)
Ground Truth (dslr eval)
3Dnovator
3Dnovator - accuracy (85.07%)
3Dnovator - completeness (50.02%)
3Dnovator+
3Dnovator+ - accuracy (85.74%)
3Dnovator+ - completeness (52.05%)
ACMH
ACMH - accuracy (93.55%)
ACMH - completeness (38.25%)
ACMH+
ACMH+ - accuracy (92.32%)
ACMH+ - completeness (35.71%)
ACMM
ACMM - accuracy (87.32%)
ACMM - completeness (49.29%)
ACMMP
ACMMP - accuracy (87.24%)
ACMMP - completeness (78.53%)
ACMMPR
ACMMPR - accuracy (89.54%)
ACMMPR - completeness (82.89%)
ACMMP_NAP
ACMMP_NAP - accuracy (90.04%)
ACMMP_NAP - completeness (84.23%)
ACMP
ACMP - accuracy (88.91%)
ACMP - completeness (64.04%)
AdaColmap
AdaColmap - accuracy (73.82%)
AdaColmap - completeness (55.18%)
ADS-MVSNet
ADS-MVSNet - accuracy (75.32%)
ADS-MVSNet - completeness (40.11%)
ambc
ambc - accuracy (87.38%)
ambc - completeness (17.36%)
Anonymous20231206
Anonymous20231206 - accuracy (75.81%)
Anonymous20231206 - completeness (21.80%)
Anonymous202405211
Anonymous202405211 - accuracy (88.77%)
Anonymous202405211 - completeness (31.37%)
anonymousdsp
anonymousdsp - accuracy (92.81%)
anonymousdsp - completeness (38.34%)
APD-MVS
APD-MVS - accuracy (91.48%)
APD-MVS - completeness (89.89%)
APDe-MVS
APDe-MVS - accuracy (93.44%)
APDe-MVS - completeness (91.13%)
baseline1
baseline1 - accuracy (78.47%)
baseline1 - completeness (55.40%)
baseline2
baseline2 - accuracy (66.76%)
baseline2 - completeness (57.32%)
Baseline_NR-MVSNet
Baseline_NR-MVSNet - accuracy (94.71%)
Baseline_NR-MVSNet - completeness (35.18%)
CANet
CANet - accuracy (84.49%)
CANet - completeness (66.93%)
CANet_DTU
CANet_DTU - accuracy (75.65%)
CANet_DTU - completeness (67.11%)
canonicalmvs
canonicalmvs - accuracy (77.74%)
canonicalmvs - completeness (68.43%)
casdiffmvs
casdiffmvs - accuracy (91.94%)
casdiffmvs - completeness (55.72%)
CDPH-MVS
CDPH-MVS - accuracy (86.92%)
CDPH-MVS - completeness (77.77%)
CDS-MVSNet
CDS-MVSNet - accuracy (77.37%)
CDS-MVSNet - completeness (48.22%)
CHOSEN 1792x2688
CHOSEN 1792x2688 - accuracy (71.56%)
CHOSEN 1792x2688 - completeness (30.27%)
CHOSEN 280x420
CHOSEN 280x420 - accuracy (48.84%)
CHOSEN 280x420 - completeness (47.78%)
CLD-MVS
CLD-MVS - accuracy (88.48%)
CLD-MVS - completeness (62.08%)
CMPMVS
CMPMVS - accuracy (70.78%)
CMPMVS - completeness (30.74%)
CNLPA
CNLPA - accuracy (83.85%)
CNLPA - completeness (42.46%)
CNVR-MVS
CNVR-MVS - accuracy (82.96%)
CNVR-MVS - completeness (79.49%)
COLMAP_ROB
COLMAP_ROB - accuracy (94.11%)
COLMAP_ROB - completeness (31.60%)
CostFormer
CostFormer - accuracy (76.98%)
CostFormer - completeness (54.14%)
CP-MVS
CP-MVS - accuracy (87.00%)
CP-MVS - completeness (77.43%)
CP-MVSNet
CP-MVSNet - accuracy (94.87%)
CP-MVSNet - completeness (37.14%)
CPTT-MVS
CPTT-MVS - accuracy (80.05%)
CPTT-MVS - completeness (69.20%)
CR-MVSNet
CR-MVSNet - accuracy (80.10%)
CR-MVSNet - completeness (41.04%)
CS-MVS
CS-MVS - accuracy (67.82%)
CS-MVS - completeness (67.86%)
CSCG
CSCG - accuracy (89.94%)
CSCG - completeness (70.84%)
CVMVSNet
CVMVSNet - accuracy (79.92%)
CVMVSNet - completeness (47.10%)
DCV-MVSNet
DCV-MVSNet - accuracy (78.84%)
DCV-MVSNet - completeness (55.74%)
DeepC-MVS
DeepC-MVS - accuracy (93.33%)
DeepC-MVS - completeness (62.86%)
DeepC-MVS_fast
DeepC-MVS_fast - accuracy (86.05%)
DeepC-MVS_fast - completeness (66.88%)
DeepMVS_CX
DeepMVS_CX - accuracy (38.61%)
DeepMVS_CX - completeness (17.21%)
DeepPCF-MVS
DeepPCF-MVS - accuracy (89.40%)
DeepPCF-MVS - completeness (80.67%)
DELS-MVS
DELS-MVS - accuracy (86.13%)
DELS-MVS - completeness (61.29%)
diffmvs
diffmvs - accuracy (88.95%)
diffmvs - completeness (59.79%)
DPE-MVS
DPE-MVS - accuracy (93.48%)
DPE-MVS - completeness (94.23%)
DPM-MVS
DPM-MVS - accuracy (70.45%)
DPM-MVS - completeness (74.52%)
dps
dps - accuracy (75.45%)
dps - completeness (43.96%)
DTE-MVSNet
DTE-MVSNet - accuracy (96.03%)
DTE-MVSNet - completeness (36.87%)
DU-MVS
DU-MVS - accuracy (92.67%)
DU-MVS - completeness (42.76%)
DVP-MVS
DVP-MVS - accuracy (94.36%)
DVP-MVS - completeness (90.11%)
E-PMN
E-PMN - accuracy (70.42%)
E-PMN - completeness (5.13%)
Effi-MVS+
Effi-MVS+ - accuracy (82.37%)
Effi-MVS+ - completeness (52.73%)
Effi-MVS+-dtu
Effi-MVS+-dtu - accuracy (76.26%)
Effi-MVS+-dtu - completeness (47.42%)
EG-PatchMatch MVS
EG-PatchMatch MVS - accuracy (89.38%)
EG-PatchMatch MVS - completeness (28.87%)
EIA-MVS
EIA-MVS - accuracy (73.60%)
EIA-MVS - completeness (64.86%)
EMVS
EMVS - accuracy (73.01%)
EMVS - completeness (4.95%)
EPMVS
EPMVS - accuracy (77.46%)
EPMVS - completeness (49.21%)
EPNet
EPNet - accuracy (76.31%)
EPNet - completeness (77.26%)
EPNet_dtu
EPNet_dtu - accuracy (71.47%)
EPNet_dtu - completeness (63.77%)
EPP-MVSNet
EPP-MVSNet - accuracy (89.26%)
EPP-MVSNet - completeness (55.82%)
ET-MVSNet_ETH3D
ET-MVSNet_ETH3D - accuracy (77.15%)
ET-MVSNet_ETH3D - completeness (66.60%)
ETV-MVS
ETV-MVS - accuracy (70.25%)
ETV-MVS - completeness (71.53%)
EU-MVSNet
EU-MVSNet - accuracy (80.10%)
EU-MVSNet - completeness (36.78%)
Fast-Effi-MVS+
Fast-Effi-MVS+ - accuracy (83.80%)
Fast-Effi-MVS+ - completeness (46.70%)
Fast-Effi-MVS+-dtu
Fast-Effi-MVS+-dtu - accuracy (70.81%)
Fast-Effi-MVS+-dtu - completeness (46.55%)
FC-MVSNet-test
FC-MVSNet-test - accuracy (93.17%)
FC-MVSNet-test - completeness (50.62%)
FC-MVSNet-train
FC-MVSNet-train - accuracy (92.57%)
FC-MVSNet-train - completeness (56.75%)
FMVSNet1
FMVSNet1 - accuracy (87.19%)
FMVSNet1 - completeness (35.06%)
FMVSNet2
FMVSNet2 - accuracy (81.92%)
FMVSNet2 - completeness (42.13%)
FMVSNet3
FMVSNet3 - accuracy (76.05%)
FMVSNet3 - completeness (47.37%)
FMVSNet5
FMVSNet5 - accuracy (47.09%)
FMVSNet5 - completeness (36.12%)
FPMVS
FPMVS - accuracy (77.78%)
FPMVS - completeness (23.46%)
GA-MVS
GA-MVS - accuracy (83.24%)
GA-MVS - completeness (47.01%)
GBi-Net
GBi-Net - accuracy (76.05%)
GBi-Net - completeness (47.37%)
GG-mvs-BLEND
GG-mvs-BLEND - accuracy (51.82%)
GG-mvs-BLEND - completeness (59.90%)
gg-mvs-nofinetune
gg-mvs-nofinetune - accuracy (88.06%)
gg-mvs-nofinetune - completeness (22.91%)
Gipuma
Gipuma - accuracy (91.94%)
Gipuma - completeness (4.18%)
gm-plane-assit
gm-plane-assit - accuracy (91.30%)
gm-plane-assit - completeness (23.61%)
HFP-MVS
HFP-MVS - accuracy (89.06%)
HFP-MVS - completeness (84.69%)
HPM-MVS++
HPM-MVS++ - accuracy (87.89%)
HPM-MVS++ - completeness (86.77%)
HQP-MVS
HQP-MVS - accuracy (78.65%)
HQP-MVS - completeness (79.85%)
HyFIR lowres test
HyFIR lowres test - accuracy (76.67%)
HyFIR lowres test - completeness (27.55%)
IB-MVS
IB-MVS - accuracy (59.99%)
IB-MVS - completeness (47.89%)
IS_MVSNet
IS_MVSNet - accuracy (87.28%)
IS_MVSNet - completeness (54.51%)
IterMVS
IterMVS - accuracy (85.21%)
IterMVS - completeness (47.07%)
IterMVS-LS
IterMVS-LS - accuracy (90.47%)
IterMVS-LS - completeness (50.59%)
IterMVS-SCA-FT
IterMVS-SCA-FT - accuracy (86.23%)
IterMVS-SCA-FT - completeness (46.85%)
LGP-MVS_train
LGP-MVS_train - accuracy (90.45%)
LGP-MVS_train - completeness (65.06%)
LS3D
LS3D - accuracy (89.71%)
LS3D - completeness (42.43%)
LTVRE_ROB
LTVRE_ROB - accuracy (93.08%)
LTVRE_ROB - completeness (36.65%)
MAR-MVS
MAR-MVS - accuracy (71.28%)
MAR-MVS - completeness (59.24%)
MCST-MVS
MCST-MVS - accuracy (81.69%)
MCST-MVS - completeness (76.50%)
MDA-MVSNet-bldmvs
MDA-MVSNet-bldmvs - accuracy (88.21%)
MDA-MVSNet-bldmvs - completeness (27.11%)
MDTV_nov1_ep13
MDTV_nov1_ep13 - accuracy (74.12%)
MDTV_nov1_ep13 - completeness (50.50%)
MDTV_nov1_ep13_2view
MDTV_nov1_ep13_2view - accuracy (86.52%)
MDTV_nov1_ep13_2view - completeness (33.23%)
MIMVSNet
MIMVSNet - accuracy (71.38%)
MIMVSNet - completeness (28.36%)
MIMVSNet1
MIMVSNet1 - accuracy (87.75%)
MIMVSNet1 - completeness (16.76%)
MP-MVS
MP-MVS - accuracy (89.00%)
MP-MVS - completeness (82.35%)
MS-PatchMatch
MS-PatchMatch - accuracy (74.63%)
MS-PatchMatch - completeness (41.26%)
MSDG
MSDG - accuracy (86.30%)
MSDG - completeness (38.47%)
MSLP-MVS++
MSLP-MVS++ - accuracy (77.59%)
MSLP-MVS++ - completeness (61.59%)
MSP-MVS
MSP-MVS - accuracy (90.21%)
MSP-MVS - completeness (94.99%)
MVE
MVE - accuracy (63.33%)
MVE - completeness (4.72%)
MVS-HIRNet
MVS-HIRNet - accuracy (70.86%)
MVS-HIRNet - completeness (21.66%)
MVSTER
MVSTER - accuracy (70.23%)
MVSTER - completeness (67.54%)
MVS_0304
MVS_0304 - accuracy (85.13%)
MVS_0304 - completeness (66.37%)
MVS_111021_LR
MVS_111021_LR - accuracy (85.31%)
MVS_111021_LR - completeness (69.32%)
MVS_Test
MVS_Test - accuracy (85.98%)
MVS_Test - completeness (59.78%)
NCCC
NCCC - accuracy (75.92%)
NCCC - completeness (77.20%)
new-patchmatchnet
new-patchmatchnet - accuracy (91.94%)
new-patchmatchnet - completeness (22.17%)
new_pmnet
new_pmnet - accuracy (73.42%)
new_pmnet - completeness (18.77%)
NR-MVSNet
NR-MVSNet - accuracy (92.67%)
NR-MVSNet - completeness (42.76%)
N_pmnet
N_pmnet - accuracy (86.31%)
N_pmnet - completeness (26.59%)
OMC-MVS
OMC-MVS - accuracy (86.86%)
OMC-MVS - completeness (61.54%)
OpenMVS
OpenMVS - accuracy (77.19%)
OpenMVS - completeness (46.33%)
OPM-MVS
OPM-MVS - accuracy (91.07%)
OPM-MVS - completeness (54.09%)
PatchMatch-RL
PatchMatch-RL - accuracy (71.70%)
PatchMatch-RL - completeness (47.06%)
PatchmatchNet
PatchmatchNet - accuracy (76.27%)
PatchmatchNet - completeness (49.22%)
PatchT
PatchT - accuracy (78.68%)
PatchT - completeness (37.84%)
PCF-MVS
PCF-MVS - accuracy (77.56%)
PCF-MVS - completeness (60.59%)
PEN-MVS
PEN-MVS - accuracy (95.97%)
PEN-MVS - completeness (36.98%)
PGM-MVS
PGM-MVS - accuracy (87.02%)
PGM-MVS - completeness (81.95%)
PHI-MVS
PHI-MVS - accuracy (84.89%)
PHI-MVS - completeness (78.10%)
PLC
PLC - accuracy (79.02%)
PLC - completeness (47.24%)
PM-MVS
PM-MVS - accuracy (86.12%)
PM-MVS - completeness (35.22%)
pm-mvs1
pm-mvs1 - accuracy (93.16%)
pm-mvs1 - completeness (35.34%)
PMMVS
PMMVS - accuracy (68.23%)
PMMVS - completeness (70.69%)
pmmvs-eth3d
pmmvs-eth3d - accuracy (89.32%)
pmmvs-eth3d - completeness (31.19%)
PMMVS2
PMMVS2 - accuracy (76.02%)
PMMVS2 - completeness (10.35%)
pmmvs3
pmmvs3 - accuracy (71.19%)
pmmvs3 - completeness (19.30%)
pmmvs5
pmmvs5 - accuracy (82.41%)
pmmvs5 - completeness (40.41%)
pmmvs6
pmmvs6 - accuracy (93.94%)
pmmvs6 - completeness (23.29%)
pmnet_mix02
pmnet_mix02 - accuracy (87.45%)
pmnet_mix02 - completeness (34.76%)
PMVS
PMVS - accuracy (92.97%)
PMVS - completeness (17.11%)
PS-CasMVS
PS-CasMVS - accuracy (95.80%)
PS-CasMVS - completeness (35.68%)
PVSNet_Blended
PVSNet_Blended - accuracy (75.05%)
PVSNet_Blended - completeness (63.07%)
PVSNet_BlendedMVS
PVSNet_BlendedMVS - accuracy (75.05%)
PVSNet_BlendedMVS - completeness (63.07%)
PVSNet_Blended_VisFu
PVSNet_Blended_VisFu - accuracy (83.88%)
PVSNet_Blended_VisFu - completeness (53.88%)
QAPM
QAPM - accuracy (81.74%)
QAPM - completeness (54.70%)
RPMNet
RPMNet - accuracy (64.32%)
RPMNet - completeness (41.58%)
RPSCF
RPSCF - accuracy (88.93%)
RPSCF - completeness (54.38%)
SCA
SCA - accuracy (74.03%)
SCA - completeness (51.64%)
SD-MVS
SD-MVS - accuracy (92.68%)
SD-MVS - completeness (87.34%)
SED-MVS
SED-MVS - accuracy (94.21%)
SED-MVS - completeness (90.85%)
SF-MVS
SF-MVS - accuracy (89.90%)
SF-MVS - completeness (92.37%)
SMA-MVS
SMA-MVS - accuracy (90.42%)
SMA-MVS - completeness (83.07%)
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 (88.23%)
SteuartSystems-ACMMP - completeness (86.44%)
TAMVS
TAMVS - accuracy (77.79%)
TAMVS - completeness (42.26%)
TAPA-MVS
TAPA-MVS - accuracy (78.83%)
TAPA-MVS - completeness (60.91%)
TDRefinement
TDRefinement - accuracy (93.98%)
TDRefinement - completeness (30.13%)
test-mter
test-mter - accuracy (64.71%)
test-mter - completeness (51.56%)
test1
test1 - accuracy (76.05%)
test1 - completeness (47.37%)
test123
test123 - accuracy (2.01%)
test123 - completeness (0.16%)
testgi
testgi - accuracy (73.42%)
testgi - completeness (32.07%)
TESTMET0.1,1
TESTMET0.1,1 - accuracy (63.11%)
TESTMET0.1,1 - completeness (52.74%)
testmvs
testmvs - accuracy (2.41%)
testmvs - completeness (0.14%)
test_part1
test_part1 - accuracy (96.63%)
test_part1 - completeness (33.05%)
thisisatest0515
thisisatest0515 - accuracy (88.79%)
thisisatest0515 - completeness (40.40%)
thisisatest0530
thisisatest0530 - accuracy (79.02%)
thisisatest0530 - completeness (54.63%)
TinyColmap
TinyColmap - accuracy (87.60%)
TinyColmap - completeness (32.42%)
tmp_tt
tmp_tt - accuracy (18.40%)
tmp_tt - completeness (40.26%)
tpm
tpm - accuracy (80.62%)
tpm - completeness (47.66%)
tpm cat1
tpm cat1 - accuracy (71.21%)
tpm cat1 - completeness (42.51%)
tpmrst
tpmrst - accuracy (76.73%)
tpmrst - completeness (46.95%)
train_agg
train_agg - accuracy (89.20%)
train_agg - completeness (90.48%)
TranMVSNet+NR-MVSNet
TranMVSNet+NR-MVSNet - accuracy (95.18%)
TranMVSNet+NR-MVSNet - completeness (42.56%)
TransMVSNet (Re)
TransMVSNet (Re) - accuracy (94.80%)
TransMVSNet (Re) - completeness (33.97%)
TSAR-MVS + ACMM
TSAR-MVS + ACMM - accuracy (93.01%)
TSAR-MVS + ACMM - completeness (88.98%)
TSAR-MVS + COLMAP
TSAR-MVS + COLMAP - accuracy (89.69%)
TSAR-MVS + COLMAP - completeness (82.22%)
TSAR-MVS + GP.
TSAR-MVS + GP. - accuracy (85.09%)
TSAR-MVS + GP. - completeness (85.23%)
TSAR-MVS + MP.
TSAR-MVS + MP. - accuracy (92.92%)
TSAR-MVS + MP. - completeness (89.67%)
tttt0517
tttt0517 - accuracy (79.18%)
tttt0517 - completeness (54.50%)
UA-Net
UA-Net - accuracy (88.83%)
UA-Net - completeness (60.68%)
uanet_test
uanet_test - accuracy (0.00%)
uanet_test - completeness (0.00%)
UGNet
UGNet - accuracy (85.82%)
UGNet - completeness (61.74%)
UniMVSNet (Re)
UniMVSNet (Re) - accuracy (92.63%)
UniMVSNet (Re) - completeness (42.57%)
UniMVSNet_ETH3D
UniMVSNet_ETH3D - accuracy (95.41%)
UniMVSNet_ETH3D - completeness (32.64%)
UniMVSNet_NR-MVSNet
UniMVSNet_NR-MVSNet - accuracy (93.24%)
UniMVSNet_NR-MVSNet - completeness (44.82%)
USDC
USDC - accuracy (82.40%)
USDC - completeness (48.34%)
Vis-MVSNet
Vis-MVSNet - accuracy (89.85%)
Vis-MVSNet - completeness (57.67%)
Vis-MVSNet (Re-imp)
Vis-MVSNet (Re-imp) - accuracy (87.44%)
Vis-MVSNet (Re-imp) - completeness (54.56%)
WR-MVS_H
WR-MVS_H - accuracy (95.85%)
WR-MVS_H - completeness (36.75%)
X-MVS
X-MVS - accuracy (78.98%)
X-MVS - completeness (75.25%)
xxxxxxxxxxxxxcwj
xxxxxxxxxxxxxcwj - accuracy (89.90%)
xxxxxxxxxxxxxcwj - completeness (92.37%)
zzz-MVS
zzz-MVS - accuracy (85.87%)
zzz-MVS - completeness (72.47%)
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
:
0.00 to 1.00
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
:
0.4
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