+
−
⇧
i
D
T
office (high-res multi-view) - Tolerance 1cm
Height profile
Point number
:
-
Visualizations
Ground Truth (full)
Ground Truth (dslr eval)
3Dnovator
3Dnovator - accuracy (75.91%)
3Dnovator - completeness (42.27%)
3Dnovator+
3Dnovator+ - accuracy (78.06%)
3Dnovator+ - completeness (43.62%)
ACMH
ACMH - accuracy (87.42%)
ACMH - completeness (28.22%)
ACMH+
ACMH+ - accuracy (86.98%)
ACMH+ - completeness (26.68%)
ACMM
ACMM - accuracy (81.58%)
ACMM - completeness (36.41%)
ACMMP
ACMMP - accuracy (80.59%)
ACMMP - completeness (62.07%)
ACMMPR
ACMMPR - accuracy (83.37%)
ACMMPR - completeness (66.79%)
ACMMP_NAP
ACMMP_NAP - accuracy (83.72%)
ACMMP_NAP - completeness (74.81%)
ACMP
ACMP - accuracy (82.97%)
ACMP - completeness (48.89%)
AdaColmap
AdaColmap - accuracy (66.06%)
AdaColmap - completeness (41.78%)
ADS-MVSNet
ADS-MVSNet - accuracy (63.05%)
ADS-MVSNet - completeness (30.12%)
ambc
ambc - accuracy (78.46%)
ambc - completeness (13.22%)
Anonymous20231206
Anonymous20231206 - accuracy (59.33%)
Anonymous20231206 - completeness (17.26%)
Anonymous202405211
Anonymous202405211 - accuracy (79.33%)
Anonymous202405211 - completeness (24.00%)
anonymousdsp
anonymousdsp - accuracy (84.06%)
anonymousdsp - completeness (29.69%)
APD-MVS
APD-MVS - accuracy (85.90%)
APD-MVS - completeness (84.67%)
APDe-MVS
APDe-MVS - accuracy (87.34%)
APDe-MVS - completeness (84.89%)
baseline1
baseline1 - accuracy (62.72%)
baseline1 - completeness (48.60%)
baseline2
baseline2 - accuracy (53.56%)
baseline2 - completeness (49.10%)
Baseline_NR-MVSNet
Baseline_NR-MVSNet - accuracy (85.88%)
Baseline_NR-MVSNet - completeness (30.84%)
CANet
CANet - accuracy (74.97%)
CANet - completeness (61.40%)
CANet_DTU
CANet_DTU - accuracy (62.45%)
CANet_DTU - completeness (57.38%)
canonicalmvs
canonicalmvs - accuracy (67.33%)
canonicalmvs - completeness (61.30%)
casdiffmvs
casdiffmvs - accuracy (84.00%)
casdiffmvs - completeness (50.45%)
CDPH-MVS
CDPH-MVS - accuracy (77.78%)
CDPH-MVS - completeness (65.27%)
CDS-MVSNet
CDS-MVSNet - accuracy (63.73%)
CDS-MVSNet - completeness (40.46%)
CHOSEN 1792x2688
CHOSEN 1792x2688 - accuracy (55.20%)
CHOSEN 1792x2688 - completeness (25.15%)
CHOSEN 280x420
CHOSEN 280x420 - accuracy (32.75%)
CHOSEN 280x420 - completeness (30.09%)
CLD-MVS
CLD-MVS - accuracy (79.65%)
CLD-MVS - completeness (54.87%)
CMPMVS
CMPMVS - accuracy (59.64%)
CMPMVS - completeness (24.22%)
CNLPA
CNLPA - accuracy (76.37%)
CNLPA - completeness (33.58%)
CNVR-MVS
CNVR-MVS - accuracy (74.70%)
CNVR-MVS - completeness (67.09%)
COLMAP_ROB
COLMAP_ROB - accuracy (89.90%)
COLMAP_ROB - completeness (23.37%)
CostFormer
CostFormer - accuracy (66.30%)
CostFormer - completeness (48.27%)
CP-MVS
CP-MVS - accuracy (80.89%)
CP-MVS - completeness (60.41%)
CP-MVSNet
CP-MVSNet - accuracy (90.81%)
CP-MVSNet - completeness (31.27%)
CPTT-MVS
CPTT-MVS - accuracy (73.88%)
CPTT-MVS - completeness (51.55%)
CR-MVSNet
CR-MVSNet - accuracy (67.91%)
CR-MVSNet - completeness (32.92%)
CS-MVS
CS-MVS - accuracy (55.59%)
CS-MVS - completeness (57.32%)
CSCG
CSCG - accuracy (80.44%)
CSCG - completeness (62.72%)
CVMVSNet
CVMVSNet - accuracy (58.08%)
CVMVSNet - completeness (38.86%)
DCV-MVSNet
DCV-MVSNet - accuracy (66.96%)
DCV-MVSNet - completeness (47.57%)
DeepC-MVS
DeepC-MVS - accuracy (86.91%)
DeepC-MVS - completeness (55.00%)
DeepC-MVS_fast
DeepC-MVS_fast - accuracy (77.00%)
DeepC-MVS_fast - completeness (56.50%)
DeepMVS_CX
DeepMVS_CX - accuracy (23.06%)
DeepMVS_CX - completeness (7.97%)
DeepPCF-MVS
DeepPCF-MVS - accuracy (82.27%)
DeepPCF-MVS - completeness (74.05%)
DELS-MVS
DELS-MVS - accuracy (75.03%)
DELS-MVS - completeness (56.45%)
diffmvs
diffmvs - accuracy (79.54%)
diffmvs - completeness (53.45%)
DPE-MVS
DPE-MVS - accuracy (86.84%)
DPE-MVS - completeness (90.50%)
DPM-MVS
DPM-MVS - accuracy (61.21%)
DPM-MVS - completeness (66.98%)
dps
dps - accuracy (64.55%)
dps - completeness (35.33%)
DTE-MVSNet
DTE-MVSNet - accuracy (92.11%)
DTE-MVSNet - completeness (30.88%)
DU-MVS
DU-MVS - accuracy (85.70%)
DU-MVS - completeness (37.31%)
DVP-MVS
DVP-MVS - accuracy (90.96%)
DVP-MVS - completeness (86.67%)
E-PMN
E-PMN - accuracy (55.50%)
E-PMN - completeness (3.67%)
Effi-MVS+
Effi-MVS+ - accuracy (73.06%)
Effi-MVS+ - completeness (45.29%)
Effi-MVS+-dtu
Effi-MVS+-dtu - accuracy (64.26%)
Effi-MVS+-dtu - completeness (39.49%)
EG-PatchMatch MVS
EG-PatchMatch MVS - accuracy (79.85%)
EG-PatchMatch MVS - completeness (24.97%)
EIA-MVS
EIA-MVS - accuracy (59.63%)
EIA-MVS - completeness (55.47%)
EMVS
EMVS - accuracy (58.99%)
EMVS - completeness (3.55%)
EPMVS
EPMVS - accuracy (64.44%)
EPMVS - completeness (40.38%)
EPNet
EPNet - accuracy (66.91%)
EPNet - completeness (68.59%)
EPNet_dtu
EPNet_dtu - accuracy (58.01%)
EPNet_dtu - completeness (52.11%)
EPP-MVSNet
EPP-MVSNet - accuracy (82.06%)
EPP-MVSNet - completeness (46.09%)
ET-MVSNet_ETH3D
ET-MVSNet_ETH3D - accuracy (64.06%)
ET-MVSNet_ETH3D - completeness (56.00%)
ETV-MVS
ETV-MVS - accuracy (56.23%)
ETV-MVS - completeness (61.47%)
EU-MVSNet
EU-MVSNet - accuracy (59.94%)
EU-MVSNet - completeness (25.29%)
Fast-Effi-MVS+
Fast-Effi-MVS+ - accuracy (73.00%)
Fast-Effi-MVS+ - completeness (40.53%)
Fast-Effi-MVS+-dtu
Fast-Effi-MVS+-dtu - accuracy (58.03%)
Fast-Effi-MVS+-dtu - completeness (37.95%)
FC-MVSNet-test
FC-MVSNet-test - accuracy (84.70%)
FC-MVSNet-test - completeness (38.56%)
FC-MVSNet-train
FC-MVSNet-train - accuracy (85.75%)
FC-MVSNet-train - completeness (48.50%)
FMVSNet1
FMVSNet1 - accuracy (75.45%)
FMVSNet1 - completeness (29.79%)
FMVSNet2
FMVSNet2 - accuracy (68.36%)
FMVSNet2 - completeness (35.68%)
FMVSNet3
FMVSNet3 - accuracy (61.81%)
FMVSNet3 - completeness (39.61%)
FMVSNet5
FMVSNet5 - accuracy (33.73%)
FMVSNet5 - completeness (26.77%)
FPMVS
FPMVS - accuracy (67.33%)
FPMVS - completeness (19.38%)
GA-MVS
GA-MVS - accuracy (73.43%)
GA-MVS - completeness (40.99%)
GBi-Net
GBi-Net - accuracy (61.81%)
GBi-Net - completeness (39.61%)
GG-mvs-BLEND
GG-mvs-BLEND - accuracy (39.77%)
GG-mvs-BLEND - completeness (49.18%)
gg-mvs-nofinetune
gg-mvs-nofinetune - accuracy (77.31%)
gg-mvs-nofinetune - completeness (18.27%)
Gipuma
Gipuma - accuracy (84.04%)
Gipuma - completeness (2.53%)
gm-plane-assit
gm-plane-assit - accuracy (81.81%)
gm-plane-assit - completeness (17.82%)
HFP-MVS
HFP-MVS - accuracy (82.39%)
HFP-MVS - completeness (68.05%)
HPM-MVS++
HPM-MVS++ - accuracy (81.93%)
HPM-MVS++ - completeness (75.90%)
HQP-MVS
HQP-MVS - accuracy (69.48%)
HQP-MVS - completeness (70.58%)
HyFIR lowres test
HyFIR lowres test - accuracy (62.88%)
HyFIR lowres test - completeness (22.44%)
IB-MVS
IB-MVS - accuracy (48.75%)
IB-MVS - completeness (40.50%)
IS_MVSNet
IS_MVSNet - accuracy (80.90%)
IS_MVSNet - completeness (44.97%)
IterMVS
IterMVS - accuracy (72.58%)
IterMVS - completeness (39.42%)
IterMVS-LS
IterMVS-LS - accuracy (81.31%)
IterMVS-LS - completeness (44.52%)
IterMVS-SCA-FT
IterMVS-SCA-FT - accuracy (74.74%)
IterMVS-SCA-FT - completeness (38.86%)
LGP-MVS_train
LGP-MVS_train - accuracy (84.83%)
LGP-MVS_train - completeness (50.38%)
LS3D
LS3D - accuracy (84.16%)
LS3D - completeness (31.54%)
LTVRE_ROB
LTVRE_ROB - accuracy (86.25%)
LTVRE_ROB - completeness (27.71%)
MAR-MVS
MAR-MVS - accuracy (59.29%)
MAR-MVS - completeness (51.09%)
MCST-MVS
MCST-MVS - accuracy (71.97%)
MCST-MVS - completeness (64.37%)
MDA-MVSNet-bldmvs
MDA-MVSNet-bldmvs - accuracy (78.17%)
MDA-MVSNet-bldmvs - completeness (19.81%)
MDTV_nov1_ep13
MDTV_nov1_ep13 - accuracy (59.26%)
MDTV_nov1_ep13 - completeness (39.56%)
MDTV_nov1_ep13_2view
MDTV_nov1_ep13_2view - accuracy (74.84%)
MDTV_nov1_ep13_2view - completeness (26.23%)
MIMVSNet
MIMVSNet - accuracy (55.22%)
MIMVSNet - completeness (22.58%)
MIMVSNet1
MIMVSNet1 - accuracy (74.82%)
MIMVSNet1 - completeness (12.64%)
MP-MVS
MP-MVS - accuracy (81.95%)
MP-MVS - completeness (69.66%)
MS-PatchMatch
MS-PatchMatch - accuracy (60.53%)
MS-PatchMatch - completeness (36.30%)
MSDG
MSDG - accuracy (75.75%)
MSDG - completeness (30.40%)
MSLP-MVS++
MSLP-MVS++ - accuracy (67.25%)
MSLP-MVS++ - completeness (48.59%)
MSP-MVS
MSP-MVS - accuracy (85.12%)
MSP-MVS - completeness (92.24%)
MVE
MVE - accuracy (43.64%)
MVE - completeness (3.09%)
MVS-HIRNet
MVS-HIRNet - accuracy (53.80%)
MVS-HIRNet - completeness (16.82%)
MVSTER
MVSTER - accuracy (55.78%)
MVSTER - completeness (59.20%)
MVS_0304
MVS_0304 - accuracy (75.87%)
MVS_0304 - completeness (60.69%)
MVS_111021_LR
MVS_111021_LR - accuracy (73.19%)
MVS_111021_LR - completeness (53.92%)
MVS_Test
MVS_Test - accuracy (76.53%)
MVS_Test - completeness (53.07%)
NCCC
NCCC - accuracy (67.75%)
NCCC - completeness (63.47%)
new-patchmatchnet
new-patchmatchnet - accuracy (80.09%)
new-patchmatchnet - completeness (15.94%)
new_pmnet
new_pmnet - accuracy (54.34%)
new_pmnet - completeness (12.84%)
NR-MVSNet
NR-MVSNet - accuracy (85.70%)
NR-MVSNet - completeness (37.31%)
N_pmnet
N_pmnet - accuracy (73.86%)
N_pmnet - completeness (20.44%)
OMC-MVS
OMC-MVS - accuracy (80.27%)
OMC-MVS - completeness (51.52%)
OpenMVS
OpenMVS - accuracy (65.89%)
OpenMVS - completeness (36.88%)
OPM-MVS
OPM-MVS - accuracy (85.28%)
OPM-MVS - completeness (45.70%)
PatchMatch-RL
PatchMatch-RL - accuracy (53.55%)
PatchMatch-RL - completeness (35.14%)
PatchmatchNet
PatchmatchNet - accuracy (63.22%)
PatchmatchNet - completeness (39.40%)
PatchT
PatchT - accuracy (66.91%)
PatchT - completeness (30.60%)
PCF-MVS
PCF-MVS - accuracy (67.60%)
PCF-MVS - completeness (51.33%)
PEN-MVS
PEN-MVS - accuracy (92.19%)
PEN-MVS - completeness (30.84%)
PGM-MVS
PGM-MVS - accuracy (80.31%)
PGM-MVS - completeness (65.88%)
PHI-MVS
PHI-MVS - accuracy (73.65%)
PHI-MVS - completeness (66.00%)
PLC
PLC - accuracy (71.32%)
PLC - completeness (34.16%)
PM-MVS
PM-MVS - accuracy (69.87%)
PM-MVS - completeness (28.00%)
pm-mvs1
pm-mvs1 - accuracy (81.03%)
pm-mvs1 - completeness (29.88%)
PMMVS
PMMVS - accuracy (50.11%)
PMMVS - completeness (61.51%)
pmmvs-eth3d
pmmvs-eth3d - accuracy (78.83%)
pmmvs-eth3d - completeness (26.09%)
PMMVS2
PMMVS2 - accuracy (59.22%)
PMMVS2 - completeness (7.38%)
pmmvs3
pmmvs3 - accuracy (53.15%)
pmmvs3 - completeness (14.72%)
pmmvs5
pmmvs5 - accuracy (68.69%)
pmmvs5 - completeness (35.26%)
pmmvs6
pmmvs6 - accuracy (84.83%)
pmmvs6 - completeness (17.40%)
pmnet_mix02
pmnet_mix02 - accuracy (75.50%)
pmnet_mix02 - completeness (26.08%)
PMVS
PMVS - accuracy (89.48%)
PMVS - completeness (13.70%)
PS-CasMVS
PS-CasMVS - accuracy (92.13%)
PS-CasMVS - completeness (30.08%)
PVSNet_Blended
PVSNet_Blended - accuracy (62.12%)
PVSNet_Blended - completeness (55.43%)
PVSNet_BlendedMVS
PVSNet_BlendedMVS - accuracy (62.12%)
PVSNet_BlendedMVS - completeness (55.43%)
PVSNet_Blended_VisFu
PVSNet_Blended_VisFu - accuracy (71.14%)
PVSNet_Blended_VisFu - completeness (46.26%)
QAPM
QAPM - accuracy (69.42%)
QAPM - completeness (43.60%)
RPMNet
RPMNet - accuracy (48.97%)
RPMNet - completeness (29.59%)
RPSCF
RPSCF - accuracy (77.89%)
RPSCF - completeness (31.56%)
SCA
SCA - accuracy (60.73%)
SCA - completeness (41.83%)
SD-MVS
SD-MVS - accuracy (87.05%)
SD-MVS - completeness (74.31%)
SED-MVS
SED-MVS - accuracy (90.70%)
SED-MVS - completeness (86.00%)
SF-MVS
SF-MVS - accuracy (81.27%)
SF-MVS - completeness (86.26%)
SMA-MVS
SMA-MVS - accuracy (83.21%)
SMA-MVS - completeness (73.74%)
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 (81.80%)
SteuartSystems-ACMMP - completeness (70.43%)
TAMVS
TAMVS - accuracy (60.72%)
TAMVS - completeness (33.55%)
TAPA-MVS
TAPA-MVS - accuracy (65.61%)
TAPA-MVS - completeness (46.90%)
TDRefinement
TDRefinement - accuracy (90.06%)
TDRefinement - completeness (22.29%)
test-mter
test-mter - accuracy (48.09%)
test-mter - completeness (39.35%)
test1
test1 - accuracy (61.81%)
test1 - completeness (39.61%)
test123
test123 - accuracy (1.10%)
test123 - completeness (0.02%)
testgi
testgi - accuracy (57.53%)
testgi - completeness (20.56%)
TESTMET0.1,1
TESTMET0.1,1 - accuracy (46.14%)
TESTMET0.1,1 - completeness (41.41%)
testmvs
testmvs - accuracy (1.05%)
testmvs - completeness (0.02%)
test_part1
test_part1 - accuracy (93.19%)
test_part1 - completeness (29.53%)
thisisatest0515
thisisatest0515 - accuracy (78.21%)
thisisatest0515 - completeness (32.50%)
thisisatest0530
thisisatest0530 - accuracy (66.58%)
thisisatest0530 - completeness (43.57%)
TinyColmap
TinyColmap - accuracy (75.66%)
TinyColmap - completeness (18.54%)
tmp_tt
tmp_tt - accuracy (8.50%)
tmp_tt - completeness (17.69%)
tpm
tpm - accuracy (69.04%)
tpm - completeness (42.40%)
tpm cat1
tpm cat1 - accuracy (60.11%)
tpm cat1 - completeness (36.69%)
tpmrst
tpmrst - accuracy (63.66%)
tpmrst - completeness (39.78%)
train_agg
train_agg - accuracy (83.67%)
train_agg - completeness (80.08%)
TranMVSNet+NR-MVSNet
TranMVSNet+NR-MVSNet - accuracy (89.55%)
TranMVSNet+NR-MVSNet - completeness (37.51%)
TransMVSNet (Re)
TransMVSNet (Re) - accuracy (85.94%)
TransMVSNet (Re) - completeness (29.45%)
TSAR-MVS + ACMM
TSAR-MVS + ACMM - accuracy (87.71%)
TSAR-MVS + ACMM - completeness (82.54%)
TSAR-MVS + COLMAP
TSAR-MVS + COLMAP - accuracy (82.78%)
TSAR-MVS + COLMAP - completeness (71.63%)
TSAR-MVS + GP.
TSAR-MVS + GP. - accuracy (66.20%)
TSAR-MVS + GP. - completeness (71.35%)
TSAR-MVS + MP.
TSAR-MVS + MP. - accuracy (88.01%)
TSAR-MVS + MP. - completeness (84.56%)
tttt0517
tttt0517 - accuracy (66.93%)
tttt0517 - completeness (43.19%)
UA-Net
UA-Net - accuracy (79.73%)
UA-Net - completeness (51.95%)
uanet_test
uanet_test - accuracy (0.00%)
uanet_test - completeness (0.00%)
UGNet
UGNet - accuracy (74.15%)
UGNet - completeness (54.12%)
UniMVSNet (Re)
UniMVSNet (Re) - accuracy (85.08%)
UniMVSNet (Re) - completeness (36.90%)
UniMVSNet_ETH3D
UniMVSNet_ETH3D - accuracy (90.04%)
UniMVSNet_ETH3D - completeness (27.82%)
UniMVSNet_NR-MVSNet
UniMVSNet_NR-MVSNet - accuracy (86.68%)
UniMVSNet_NR-MVSNet - completeness (39.87%)
USDC
USDC - accuracy (68.55%)
USDC - completeness (33.13%)
Vis-MVSNet
Vis-MVSNet - accuracy (80.21%)
Vis-MVSNet - completeness (51.03%)
Vis-MVSNet (Re-imp)
Vis-MVSNet (Re-imp) - accuracy (79.53%)
Vis-MVSNet (Re-imp) - completeness (45.93%)
WR-MVS_H
WR-MVS_H - accuracy (91.81%)
WR-MVS_H - completeness (30.72%)
X-MVS
X-MVS - accuracy (72.04%)
X-MVS - completeness (58.20%)
xxxxxxxxxxxxxcwj
xxxxxxxxxxxxxcwj - accuracy (81.27%)
xxxxxxxxxxxxxcwj - completeness (86.26%)
zzz-MVS
zzz-MVS - accuracy (79.86%)
zzz-MVS - completeness (60.30%)
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
:
-1.92 to 9.69
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
:
8.0
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