+
−
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playground (high-res multi-view) - Tolerance 2cm
Height profile
Point number
:
-
Visualizations
Ground Truth (full)
Ground Truth (dslr eval)
3Dnovator
3Dnovator - accuracy (70.96%)
3Dnovator - completeness (77.47%)
3Dnovator+
3Dnovator+ - accuracy (78.02%)
3Dnovator+ - completeness (76.27%)
ACMH
ACMH - accuracy (77.96%)
ACMH - completeness (61.37%)
ACMH+
ACMH+ - accuracy (80.29%)
ACMH+ - completeness (59.81%)
ACMM
ACMM - accuracy (83.32%)
ACMM - completeness (65.86%)
ACMMP
ACMMP - accuracy (82.87%)
ACMMP - completeness (68.80%)
ACMMPR
ACMMPR - accuracy (84.25%)
ACMMPR - completeness (72.16%)
ACMMP_NAP
ACMMP_NAP - accuracy (78.71%)
ACMMP_NAP - completeness (75.31%)
ACMP
ACMP - accuracy (82.13%)
ACMP - completeness (63.91%)
AdaColmap
AdaColmap - accuracy (75.19%)
AdaColmap - completeness (77.87%)
ADS-MVSNet
ADS-MVSNet - accuracy (37.96%)
ADS-MVSNet - completeness (59.36%)
ambc
ambc - accuracy (74.53%)
ambc - completeness (29.06%)
Anonymous20231206
Anonymous20231206 - accuracy (41.51%)
Anonymous20231206 - completeness (30.52%)
Anonymous202405211
Anonymous202405211 - accuracy (55.93%)
Anonymous202405211 - completeness (69.67%)
anonymousdsp
anonymousdsp - accuracy (86.88%)
anonymousdsp - completeness (47.54%)
APD-MVS
APD-MVS - accuracy (81.14%)
APD-MVS - completeness (79.18%)
APDe-MVS
APDe-MVS - accuracy (81.55%)
APDe-MVS - completeness (80.07%)
baseline1
baseline1 - accuracy (47.77%)
baseline1 - completeness (62.55%)
baseline2
baseline2 - accuracy (60.77%)
baseline2 - completeness (63.27%)
Baseline_NR-MVSNet
Baseline_NR-MVSNet - accuracy (66.90%)
Baseline_NR-MVSNet - completeness (48.20%)
CANet
CANet - accuracy (69.54%)
CANet - completeness (76.79%)
CANet_DTU
CANet_DTU - accuracy (53.92%)
CANet_DTU - completeness (72.40%)
canonicalmvs
canonicalmvs - accuracy (65.17%)
canonicalmvs - completeness (74.72%)
casdiffmvs
casdiffmvs - accuracy (65.84%)
casdiffmvs - completeness (73.58%)
CDPH-MVS
CDPH-MVS - accuracy (75.55%)
CDPH-MVS - completeness (68.50%)
CDS-MVSNet
CDS-MVSNet - accuracy (42.60%)
CDS-MVSNet - completeness (46.45%)
CHOSEN 1792x2688
CHOSEN 1792x2688 - accuracy (67.69%)
CHOSEN 1792x2688 - completeness (66.14%)
CHOSEN 280x420
CHOSEN 280x420 - accuracy (63.39%)
CHOSEN 280x420 - completeness (62.68%)
CLD-MVS
CLD-MVS - accuracy (63.95%)
CLD-MVS - completeness (73.57%)
CMPMVS
CMPMVS - accuracy (63.54%)
CMPMVS - completeness (53.01%)
CNLPA
CNLPA - accuracy (76.46%)
CNLPA - completeness (72.70%)
CNVR-MVS
CNVR-MVS - accuracy (76.04%)
CNVR-MVS - completeness (81.65%)
COLMAP_ROB
COLMAP_ROB - accuracy (84.22%)
COLMAP_ROB - completeness (44.90%)
CostFormer
CostFormer - accuracy (56.73%)
CostFormer - completeness (67.98%)
CP-MVS
CP-MVS - accuracy (83.95%)
CP-MVS - completeness (71.62%)
CP-MVSNet
CP-MVSNet - accuracy (71.05%)
CP-MVSNet - completeness (29.21%)
CPTT-MVS
CPTT-MVS - accuracy (84.77%)
CPTT-MVS - completeness (69.38%)
CR-MVSNet
CR-MVSNet - accuracy (65.04%)
CR-MVSNet - completeness (57.29%)
CS-MVS
CS-MVS - accuracy (73.27%)
CS-MVS - completeness (72.87%)
CSCG
CSCG - accuracy (78.71%)
CSCG - completeness (69.71%)
CVMVSNet
CVMVSNet - accuracy (73.64%)
CVMVSNet - completeness (37.96%)
DCV-MVSNet
DCV-MVSNet - accuracy (58.51%)
DCV-MVSNet - completeness (66.35%)
DeepC-MVS
DeepC-MVS - accuracy (80.59%)
DeepC-MVS - completeness (74.80%)
DeepC-MVS_fast
DeepC-MVS_fast - accuracy (75.84%)
DeepC-MVS_fast - completeness (79.48%)
DeepMVS_CX
DeepMVS_CX - accuracy (33.78%)
DeepMVS_CX - completeness (21.13%)
DeepPCF-MVS
DeepPCF-MVS - accuracy (80.26%)
DeepPCF-MVS - completeness (74.80%)
DELS-MVS
DELS-MVS - accuracy (67.16%)
DELS-MVS - completeness (72.75%)
diffmvs
diffmvs - accuracy (61.98%)
diffmvs - completeness (71.80%)
DPE-MVS
DPE-MVS - accuracy (81.07%)
DPE-MVS - completeness (81.44%)
DPM-MVS
DPM-MVS - accuracy (67.67%)
DPM-MVS - completeness (79.29%)
dps
dps - accuracy (58.06%)
dps - completeness (64.00%)
DTE-MVSNet
DTE-MVSNet - accuracy (70.78%)
DTE-MVSNet - completeness (25.73%)
DU-MVS
DU-MVS - accuracy (68.13%)
DU-MVS - completeness (51.37%)
DVP-MVS
DVP-MVS - accuracy (81.46%)
DVP-MVS - completeness (79.46%)
E-PMN
E-PMN - accuracy (58.73%)
E-PMN - completeness (13.81%)
Effi-MVS+
Effi-MVS+ - accuracy (72.21%)
Effi-MVS+ - completeness (69.69%)
Effi-MVS+-dtu
Effi-MVS+-dtu - accuracy (74.74%)
Effi-MVS+-dtu - completeness (63.82%)
EG-PatchMatch MVS
EG-PatchMatch MVS - accuracy (78.78%)
EG-PatchMatch MVS - completeness (42.84%)
EIA-MVS
EIA-MVS - accuracy (73.83%)
EIA-MVS - completeness (69.53%)
EMVS
EMVS - accuracy (57.91%)
EMVS - completeness (13.91%)
EPMVS
EPMVS - accuracy (42.68%)
EPMVS - completeness (62.88%)
EPNet
EPNet - accuracy (59.63%)
EPNet - completeness (70.06%)
EPNet_dtu
EPNet_dtu - accuracy (51.89%)
EPNet_dtu - completeness (37.65%)
EPP-MVSNet
EPP-MVSNet - accuracy (72.13%)
EPP-MVSNet - completeness (56.01%)
ET-MVSNet_ETH3D
ET-MVSNet_ETH3D - accuracy (65.89%)
ET-MVSNet_ETH3D - completeness (79.55%)
ETV-MVS
ETV-MVS - accuracy (73.66%)
ETV-MVS - completeness (73.16%)
EU-MVSNet
EU-MVSNet - accuracy (73.67%)
EU-MVSNet - completeness (24.37%)
Fast-Effi-MVS+
Fast-Effi-MVS+ - accuracy (73.44%)
Fast-Effi-MVS+ - completeness (69.12%)
Fast-Effi-MVS+-dtu
Fast-Effi-MVS+-dtu - accuracy (63.36%)
Fast-Effi-MVS+-dtu - completeness (61.40%)
FC-MVSNet-test
FC-MVSNet-test - accuracy (47.78%)
FC-MVSNet-test - completeness (16.62%)
FC-MVSNet-train
FC-MVSNet-train - accuracy (49.52%)
FC-MVSNet-train - completeness (66.91%)
FMVSNet1
FMVSNet1 - accuracy (55.65%)
FMVSNet1 - completeness (58.57%)
FMVSNet2
FMVSNet2 - accuracy (52.73%)
FMVSNet2 - completeness (63.43%)
FMVSNet3
FMVSNet3 - accuracy (51.49%)
FMVSNet3 - completeness (64.90%)
FMVSNet5
FMVSNet5 - accuracy (35.28%)
FMVSNet5 - completeness (51.37%)
FPMVS
FPMVS - accuracy (77.57%)
FPMVS - completeness (28.32%)
GA-MVS
GA-MVS - accuracy (63.75%)
GA-MVS - completeness (59.41%)
GBi-Net
GBi-Net - accuracy (52.73%)
GBi-Net - completeness (63.43%)
GG-mvs-BLEND
GG-mvs-BLEND - accuracy (0.28%)
GG-mvs-BLEND - completeness (0.04%)
gg-mvs-nofinetune
gg-mvs-nofinetune - accuracy (42.12%)
gg-mvs-nofinetune - completeness (54.52%)
Gipuma
Gipuma - accuracy (81.80%)
Gipuma - completeness (14.85%)
gm-plane-assit
gm-plane-assit - accuracy (59.01%)
gm-plane-assit - completeness (60.21%)
HFP-MVS
HFP-MVS - accuracy (81.68%)
HFP-MVS - completeness (75.04%)
HPM-MVS++
HPM-MVS++ - accuracy (80.28%)
HPM-MVS++ - completeness (78.68%)
HQP-MVS
HQP-MVS - accuracy (72.55%)
HQP-MVS - completeness (70.81%)
HyFIR lowres test
HyFIR lowres test - accuracy (71.09%)
HyFIR lowres test - completeness (64.97%)
IB-MVS
IB-MVS - accuracy (68.64%)
IB-MVS - completeness (51.99%)
IS_MVSNet
IS_MVSNet - accuracy (67.26%)
IS_MVSNet - completeness (45.99%)
IterMVS
IterMVS - accuracy (69.54%)
IterMVS - completeness (54.08%)
IterMVS-LS
IterMVS-LS - accuracy (70.86%)
IterMVS-LS - completeness (61.83%)
IterMVS-SCA-FT
IterMVS-SCA-FT - accuracy (79.00%)
IterMVS-SCA-FT - completeness (52.51%)
LGP-MVS_train
LGP-MVS_train - accuracy (83.20%)
LGP-MVS_train - completeness (62.49%)
LS3D
LS3D - accuracy (78.37%)
LS3D - completeness (65.01%)
LTVRE_ROB
LTVRE_ROB - accuracy (86.34%)
LTVRE_ROB - completeness (50.76%)
MAR-MVS
MAR-MVS - accuracy (69.69%)
MAR-MVS - completeness (74.83%)
MCST-MVS
MCST-MVS - accuracy (75.09%)
MCST-MVS - completeness (82.17%)
MDA-MVSNet-bldmvs
MDA-MVSNet-bldmvs - accuracy (69.62%)
MDA-MVSNet-bldmvs - completeness (41.98%)
MDTV_nov1_ep13
MDTV_nov1_ep13 - accuracy (55.64%)
MDTV_nov1_ep13 - completeness (58.86%)
MDTV_nov1_ep13_2view
MDTV_nov1_ep13_2view - accuracy (61.35%)
MDTV_nov1_ep13_2view - completeness (47.26%)
MIMVSNet
MIMVSNet - accuracy (36.38%)
MIMVSNet - completeness (45.84%)
MIMVSNet1
MIMVSNet1 - accuracy (45.31%)
MIMVSNet1 - completeness (17.75%)
MP-MVS
MP-MVS - accuracy (84.01%)
MP-MVS - completeness (71.60%)
MS-PatchMatch
MS-PatchMatch - accuracy (62.38%)
MS-PatchMatch - completeness (61.69%)
MSDG
MSDG - accuracy (69.67%)
MSDG - completeness (62.42%)
MSLP-MVS++
MSLP-MVS++ - accuracy (82.60%)
MSLP-MVS++ - completeness (73.54%)
MSP-MVS
MSP-MVS - accuracy (76.38%)
MSP-MVS - completeness (85.96%)
MVE
MVE - accuracy (63.56%)
MVE - completeness (9.57%)
MVS-HIRNet
MVS-HIRNet - accuracy (56.75%)
MVS-HIRNet - completeness (55.47%)
MVSTER
MVSTER - accuracy (57.34%)
MVSTER - completeness (71.05%)
MVS_0304
MVS_0304 - accuracy (72.55%)
MVS_0304 - completeness (76.38%)
MVS_111021_LR
MVS_111021_LR - accuracy (75.22%)
MVS_111021_LR - completeness (69.43%)
MVS_Test
MVS_Test - accuracy (63.50%)
MVS_Test - completeness (75.31%)
NCCC
NCCC - accuracy (77.08%)
NCCC - completeness (79.09%)
new-patchmatchnet
new-patchmatchnet - accuracy (25.28%)
new-patchmatchnet - completeness (19.22%)
new_pmnet
new_pmnet - accuracy (23.06%)
new_pmnet - completeness (26.77%)
NR-MVSNet
NR-MVSNet - accuracy (54.19%)
NR-MVSNet - completeness (48.82%)
N_pmnet
N_pmnet - accuracy (25.44%)
N_pmnet - completeness (35.50%)
OMC-MVS
OMC-MVS - accuracy (77.66%)
OMC-MVS - completeness (69.41%)
OpenMVS
OpenMVS - accuracy (68.60%)
OpenMVS - completeness (71.77%)
OPM-MVS
OPM-MVS - accuracy (79.13%)
OPM-MVS - completeness (70.04%)
PatchMatch-RL
PatchMatch-RL - accuracy (74.98%)
PatchMatch-RL - completeness (64.80%)
PatchmatchNet
PatchmatchNet - accuracy (60.45%)
PatchmatchNet - completeness (60.01%)
PatchT
PatchT - accuracy (65.04%)
PatchT - completeness (57.29%)
PCF-MVS
PCF-MVS - accuracy (72.91%)
PCF-MVS - completeness (70.65%)
PEN-MVS
PEN-MVS - accuracy (70.38%)
PEN-MVS - completeness (28.77%)
PGM-MVS
PGM-MVS - accuracy (83.62%)
PGM-MVS - completeness (71.41%)
PHI-MVS
PHI-MVS - accuracy (75.97%)
PHI-MVS - completeness (70.39%)
PLC
PLC - accuracy (77.37%)
PLC - completeness (70.42%)
PM-MVS
PM-MVS - accuracy (77.08%)
PM-MVS - completeness (46.83%)
pm-mvs1
pm-mvs1 - accuracy (54.20%)
pm-mvs1 - completeness (43.34%)
PMMVS
PMMVS - accuracy (58.09%)
PMMVS - completeness (69.53%)
pmmvs-eth3d
pmmvs-eth3d - accuracy (67.78%)
pmmvs-eth3d - completeness (49.07%)
PMMVS2
PMMVS2 - accuracy (7.53%)
PMMVS2 - completeness (3.83%)
pmmvs3
pmmvs3 - accuracy (53.96%)
pmmvs3 - completeness (40.56%)
pmmvs5
pmmvs5 - accuracy (47.21%)
pmmvs5 - completeness (51.75%)
pmmvs6
pmmvs6 - accuracy (55.94%)
pmmvs6 - completeness (40.33%)
pmnet_mix02
pmnet_mix02 - accuracy (39.85%)
pmnet_mix02 - completeness (40.44%)
PMVS
PMVS - accuracy (86.13%)
PMVS - completeness (20.44%)
PS-CasMVS
PS-CasMVS - accuracy (71.16%)
PS-CasMVS - completeness (28.85%)
PVSNet_Blended
PVSNet_Blended - accuracy (66.51%)
PVSNet_Blended - completeness (67.60%)
PVSNet_BlendedMVS
PVSNet_BlendedMVS - accuracy (66.51%)
PVSNet_BlendedMVS - completeness (67.60%)
PVSNet_Blended_VisFu
PVSNet_Blended_VisFu - accuracy (77.49%)
PVSNet_Blended_VisFu - completeness (59.08%)
QAPM
QAPM - accuracy (70.97%)
QAPM - completeness (74.49%)
RPMNet
RPMNet - accuracy (59.68%)
RPMNet - completeness (47.89%)
RPSCF
RPSCF - accuracy (79.38%)
RPSCF - completeness (53.75%)
SCA
SCA - accuracy (65.55%)
SCA - completeness (57.92%)
SD-MVS
SD-MVS - accuracy (83.88%)
SD-MVS - completeness (73.71%)
SED-MVS
SED-MVS - accuracy (76.59%)
SED-MVS - completeness (86.18%)
SF-MVS
SF-MVS - accuracy (77.91%)
SF-MVS - completeness (79.75%)
SMA-MVS
SMA-MVS - accuracy (79.05%)
SMA-MVS - completeness (77.16%)
sosnet
sosnet - accuracy (0.00%)
sosnet - completeness (0.00%)
sosnet-low-res
sosnet-low-res - accuracy (0.00%)
sosnet-low-res - completeness (0.00%)
SteuartSystems-ACMMP
SteuartSystems-ACMMP - accuracy (82.08%)
SteuartSystems-ACMMP - completeness (73.07%)
TAMVS
TAMVS - accuracy (42.60%)
TAMVS - completeness (46.45%)
TAPA-MVS
TAPA-MVS - accuracy (76.20%)
TAPA-MVS - completeness (67.98%)
TDRefinement
TDRefinement - accuracy (87.53%)
TDRefinement - completeness (46.17%)
test-mter
test-mter - accuracy (56.36%)
test-mter - completeness (55.38%)
test1
test1 - accuracy (52.73%)
test1 - completeness (63.43%)
test123
test123 - accuracy (0.87%)
test123 - completeness (0.04%)
testgi
testgi - accuracy (32.79%)
testgi - completeness (20.15%)
TESTMET0.1,1
TESTMET0.1,1 - accuracy (52.87%)
TESTMET0.1,1 - completeness (57.74%)
testmvs
testmvs - accuracy (0.41%)
testmvs - completeness (0.03%)
test_part1
test_part1 - accuracy (69.45%)
test_part1 - completeness (62.38%)
thisisatest0515
thisisatest0515 - accuracy (75.49%)
thisisatest0515 - completeness (47.09%)
thisisatest0530
thisisatest0530 - accuracy (72.17%)
thisisatest0530 - completeness (57.92%)
TinyColmap
TinyColmap - accuracy (70.34%)
TinyColmap - completeness (56.65%)
tmp_tt
tmp_tt - accuracy (3.70%)
tmp_tt - completeness (5.35%)
tpm
tpm - accuracy (48.11%)
tpm - completeness (60.57%)
tpm cat1
tpm cat1 - accuracy (59.17%)
tpm cat1 - completeness (64.74%)
tpmrst
tpmrst - accuracy (48.73%)
tpmrst - completeness (65.30%)
train_agg
train_agg - accuracy (78.33%)
train_agg - completeness (73.06%)
TranMVSNet+NR-MVSNet
TranMVSNet+NR-MVSNet - accuracy (67.13%)
TranMVSNet+NR-MVSNet - completeness (47.66%)
TransMVSNet (Re)
TransMVSNet (Re) - accuracy (53.73%)
TransMVSNet (Re) - completeness (39.17%)
TSAR-MVS + ACMM
TSAR-MVS + ACMM - accuracy (83.17%)
TSAR-MVS + ACMM - completeness (67.57%)
TSAR-MVS + COLMAP
TSAR-MVS + COLMAP - accuracy (74.01%)
TSAR-MVS + COLMAP - completeness (68.94%)
TSAR-MVS + GP.
TSAR-MVS + GP. - accuracy (79.24%)
TSAR-MVS + GP. - completeness (76.64%)
TSAR-MVS + MP.
TSAR-MVS + MP. - accuracy (82.23%)
TSAR-MVS + MP. - completeness (77.72%)
tttt0517
tttt0517 - accuracy (72.17%)
tttt0517 - completeness (57.92%)
UA-Net
UA-Net - accuracy (78.67%)
UA-Net - completeness (41.84%)
uanet_test
uanet_test - accuracy (0.00%)
uanet_test - completeness (0.00%)
UGNet
UGNet - accuracy (53.18%)
UGNet - completeness (45.46%)
UniMVSNet (Re)
UniMVSNet (Re) - accuracy (69.07%)
UniMVSNet (Re) - completeness (43.36%)
UniMVSNet_ETH3D
UniMVSNet_ETH3D - accuracy (63.72%)
UniMVSNet_ETH3D - completeness (51.50%)
UniMVSNet_NR-MVSNet
UniMVSNet_NR-MVSNet - accuracy (68.13%)
UniMVSNet_NR-MVSNet - completeness (51.37%)
USDC
USDC - accuracy (66.57%)
USDC - completeness (58.16%)
Vis-MVSNet
Vis-MVSNet - accuracy (71.71%)
Vis-MVSNet - completeness (45.37%)
Vis-MVSNet (Re-imp)
Vis-MVSNet (Re-imp) - accuracy (53.14%)
Vis-MVSNet (Re-imp) - completeness (31.06%)
WR-MVS_H
WR-MVS_H - accuracy (71.83%)
WR-MVS_H - completeness (22.10%)
X-MVS
X-MVS - accuracy (76.47%)
X-MVS - completeness (67.52%)
xxxxxxxxxxxxxcwj
xxxxxxxxxxxxxcwj - accuracy (77.91%)
xxxxxxxxxxxxxcwj - completeness (79.75%)
zzz-MVS
zzz-MVS - accuracy (82.54%)
zzz-MVS - completeness (74.13%)
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
:
-1.36 to 95.92
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
:
67.4
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