+
−
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D
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playground (high-res multi-view) - Tolerance 1cm
Height profile
Point number
:
-
Visualizations
Ground Truth (full)
Ground Truth (dslr eval)
3Dnovator
3Dnovator - accuracy (55.34%)
3Dnovator - completeness (62.01%)
3Dnovator+
3Dnovator+ - accuracy (63.83%)
3Dnovator+ - completeness (58.60%)
ACMH
ACMH - accuracy (62.95%)
ACMH - completeness (45.17%)
ACMH+
ACMH+ - accuracy (66.50%)
ACMH+ - completeness (43.12%)
ACMM
ACMM - accuracy (70.45%)
ACMM - completeness (50.38%)
ACMMP
ACMMP - accuracy (70.67%)
ACMMP - completeness (49.98%)
ACMMPR
ACMMPR - accuracy (72.82%)
ACMMPR - completeness (53.07%)
ACMMP_NAP
ACMMP_NAP - accuracy (65.36%)
ACMMP_NAP - completeness (59.40%)
ACMP
ACMP - accuracy (68.90%)
ACMP - completeness (48.56%)
AdaColmap
AdaColmap - accuracy (61.32%)
AdaColmap - completeness (60.17%)
ADS-MVSNet
ADS-MVSNet - accuracy (22.67%)
ADS-MVSNet - completeness (45.30%)
ambc
ambc - accuracy (59.05%)
ambc - completeness (19.34%)
Anonymous20231206
Anonymous20231206 - accuracy (24.49%)
Anonymous20231206 - completeness (18.28%)
Anonymous202405211
Anonymous202405211 - accuracy (37.36%)
Anonymous202405211 - completeness (50.73%)
anonymousdsp
anonymousdsp - accuracy (75.24%)
anonymousdsp - completeness (35.21%)
APD-MVS
APD-MVS - accuracy (69.43%)
APD-MVS - completeness (59.30%)
APDe-MVS
APDe-MVS - accuracy (69.45%)
APDe-MVS - completeness (60.66%)
baseline1
baseline1 - accuracy (30.25%)
baseline1 - completeness (42.36%)
baseline2
baseline2 - accuracy (45.33%)
baseline2 - completeness (51.24%)
Baseline_NR-MVSNet
Baseline_NR-MVSNet - accuracy (45.76%)
Baseline_NR-MVSNet - completeness (30.96%)
CANet
CANet - accuracy (54.25%)
CANet - completeness (61.44%)
CANet_DTU
CANet_DTU - accuracy (37.90%)
CANet_DTU - completeness (53.67%)
canonicalmvs
canonicalmvs - accuracy (45.49%)
canonicalmvs - completeness (58.48%)
casdiffmvs
casdiffmvs - accuracy (49.12%)
casdiffmvs - completeness (59.54%)
CDPH-MVS
CDPH-MVS - accuracy (61.31%)
CDPH-MVS - completeness (53.16%)
CDS-MVSNet
CDS-MVSNet - accuracy (27.12%)
CDS-MVSNet - completeness (30.01%)
CHOSEN 1792x2688
CHOSEN 1792x2688 - accuracy (51.20%)
CHOSEN 1792x2688 - completeness (53.72%)
CHOSEN 280x420
CHOSEN 280x420 - accuracy (48.13%)
CHOSEN 280x420 - completeness (44.82%)
CLD-MVS
CLD-MVS - accuracy (47.02%)
CLD-MVS - completeness (57.87%)
CMPMVS
CMPMVS - accuracy (47.27%)
CMPMVS - completeness (40.52%)
CNLPA
CNLPA - accuracy (62.92%)
CNLPA - completeness (52.94%)
CNVR-MVS
CNVR-MVS - accuracy (61.77%)
CNVR-MVS - completeness (64.26%)
COLMAP_ROB
COLMAP_ROB - accuracy (72.34%)
COLMAP_ROB - completeness (28.11%)
CostFormer
CostFormer - accuracy (41.78%)
CostFormer - completeness (56.97%)
CP-MVS
CP-MVS - accuracy (72.51%)
CP-MVS - completeness (51.84%)
CP-MVSNet
CP-MVSNet - accuracy (50.03%)
CP-MVSNet - completeness (15.09%)
CPTT-MVS
CPTT-MVS - accuracy (73.74%)
CPTT-MVS - completeness (49.77%)
CR-MVSNet
CR-MVSNet - accuracy (48.37%)
CR-MVSNet - completeness (45.00%)
CS-MVS
CS-MVS - accuracy (56.76%)
CS-MVS - completeness (57.80%)
CSCG
CSCG - accuracy (64.59%)
CSCG - completeness (56.63%)
CVMVSNet
CVMVSNet - accuracy (55.09%)
CVMVSNet - completeness (24.30%)
DCV-MVSNet
DCV-MVSNet - accuracy (39.18%)
DCV-MVSNet - completeness (48.23%)
DeepC-MVS
DeepC-MVS - accuracy (67.12%)
DeepC-MVS - completeness (60.08%)
DeepC-MVS_fast
DeepC-MVS_fast - accuracy (61.90%)
DeepC-MVS_fast - completeness (63.37%)
DeepMVS_CX
DeepMVS_CX - accuracy (18.69%)
DeepMVS_CX - completeness (8.56%)
DeepPCF-MVS
DeepPCF-MVS - accuracy (66.47%)
DeepPCF-MVS - completeness (59.01%)
DELS-MVS
DELS-MVS - accuracy (50.93%)
DELS-MVS - completeness (60.05%)
diffmvs
diffmvs - accuracy (45.13%)
diffmvs - completeness (57.21%)
DPE-MVS
DPE-MVS - accuracy (69.33%)
DPE-MVS - completeness (60.33%)
DPM-MVS
DPM-MVS - accuracy (52.64%)
DPM-MVS - completeness (65.95%)
dps
dps - accuracy (40.12%)
dps - completeness (51.83%)
DTE-MVSNet
DTE-MVSNet - accuracy (49.42%)
DTE-MVSNet - completeness (12.73%)
DU-MVS
DU-MVS - accuracy (46.91%)
DU-MVS - completeness (33.43%)
DVP-MVS
DVP-MVS - accuracy (69.28%)
DVP-MVS - completeness (58.04%)
E-PMN
E-PMN - accuracy (43.77%)
E-PMN - completeness (9.12%)
Effi-MVS+
Effi-MVS+ - accuracy (55.61%)
Effi-MVS+ - completeness (56.27%)
Effi-MVS+-dtu
Effi-MVS+-dtu - accuracy (59.97%)
Effi-MVS+-dtu - completeness (53.00%)
EG-PatchMatch MVS
EG-PatchMatch MVS - accuracy (63.95%)
EG-PatchMatch MVS - completeness (33.48%)
EIA-MVS
EIA-MVS - accuracy (57.33%)
EIA-MVS - completeness (55.87%)
EMVS
EMVS - accuracy (42.77%)
EMVS - completeness (9.15%)
EPMVS
EPMVS - accuracy (26.57%)
EPMVS - completeness (49.77%)
EPNet
EPNet - accuracy (43.49%)
EPNet - completeness (53.72%)
EPNet_dtu
EPNet_dtu - accuracy (33.71%)
EPNet_dtu - completeness (22.14%)
EPP-MVSNet
EPP-MVSNet - accuracy (52.51%)
EPP-MVSNet - completeness (36.90%)
ET-MVSNet_ETH3D
ET-MVSNet_ETH3D - accuracy (50.61%)
ET-MVSNet_ETH3D - completeness (64.41%)
ETV-MVS
ETV-MVS - accuracy (57.12%)
ETV-MVS - completeness (57.80%)
EU-MVSNet
EU-MVSNet - accuracy (53.08%)
EU-MVSNet - completeness (15.21%)
Fast-Effi-MVS+
Fast-Effi-MVS+ - accuracy (56.85%)
Fast-Effi-MVS+ - completeness (55.69%)
Fast-Effi-MVS+-dtu
Fast-Effi-MVS+-dtu - accuracy (48.05%)
Fast-Effi-MVS+-dtu - completeness (50.85%)
FC-MVSNet-test
FC-MVSNet-test - accuracy (28.92%)
FC-MVSNet-test - completeness (6.06%)
FC-MVSNet-train
FC-MVSNet-train - accuracy (32.10%)
FC-MVSNet-train - completeness (51.28%)
FMVSNet1
FMVSNet1 - accuracy (36.75%)
FMVSNet1 - completeness (38.70%)
FMVSNet2
FMVSNet2 - accuracy (34.58%)
FMVSNet2 - completeness (42.71%)
FMVSNet3
FMVSNet3 - accuracy (33.67%)
FMVSNet3 - completeness (43.85%)
FMVSNet5
FMVSNet5 - accuracy (20.97%)
FMVSNet5 - completeness (30.26%)
FPMVS
FPMVS - accuracy (67.23%)
FPMVS - completeness (20.88%)
GA-MVS
GA-MVS - accuracy (47.38%)
GA-MVS - completeness (47.65%)
GBi-Net
GBi-Net - accuracy (34.58%)
GBi-Net - completeness (42.71%)
GG-mvs-BLEND
GG-mvs-BLEND - accuracy (0.15%)
GG-mvs-BLEND - completeness (0.01%)
gg-mvs-nofinetune
gg-mvs-nofinetune - accuracy (26.42%)
gg-mvs-nofinetune - completeness (33.57%)
Gipuma
Gipuma - accuracy (68.69%)
Gipuma - completeness (8.90%)
gm-plane-assit
gm-plane-assit - accuracy (43.83%)
gm-plane-assit - completeness (49.82%)
HFP-MVS
HFP-MVS - accuracy (69.16%)
HFP-MVS - completeness (57.79%)
HPM-MVS++
HPM-MVS++ - accuracy (68.20%)
HPM-MVS++ - completeness (61.00%)
HQP-MVS
HQP-MVS - accuracy (57.76%)
HQP-MVS - completeness (56.76%)
HyFIR lowres test
HyFIR lowres test - accuracy (55.85%)
HyFIR lowres test - completeness (51.02%)
IB-MVS
IB-MVS - accuracy (53.55%)
IB-MVS - completeness (44.67%)
IS_MVSNet
IS_MVSNet - accuracy (47.19%)
IS_MVSNet - completeness (27.20%)
IterMVS
IterMVS - accuracy (54.26%)
IterMVS - completeness (43.65%)
IterMVS-LS
IterMVS-LS - accuracy (54.94%)
IterMVS-LS - completeness (49.63%)
IterMVS-SCA-FT
IterMVS-SCA-FT - accuracy (64.84%)
IterMVS-SCA-FT - completeness (39.05%)
LGP-MVS_train
LGP-MVS_train - accuracy (70.52%)
LGP-MVS_train - completeness (46.87%)
LS3D
LS3D - accuracy (65.34%)
LS3D - completeness (46.27%)
LTVRE_ROB
LTVRE_ROB - accuracy (74.66%)
LTVRE_ROB - completeness (32.64%)
MAR-MVS
MAR-MVS - accuracy (54.68%)
MAR-MVS - completeness (60.38%)
MCST-MVS
MCST-MVS - accuracy (59.50%)
MCST-MVS - completeness (65.66%)
MDA-MVSNet-bldmvs
MDA-MVSNet-bldmvs - accuracy (51.32%)
MDA-MVSNet-bldmvs - completeness (31.41%)
MDTV_nov1_ep13
MDTV_nov1_ep13 - accuracy (38.56%)
MDTV_nov1_ep13 - completeness (45.78%)
MDTV_nov1_ep13_2view
MDTV_nov1_ep13_2view - accuracy (43.12%)
MDTV_nov1_ep13_2view - completeness (35.88%)
MIMVSNet
MIMVSNet - accuracy (21.74%)
MIMVSNet - completeness (28.75%)
MIMVSNet1
MIMVSNet1 - accuracy (26.83%)
MIMVSNet1 - completeness (7.70%)
MP-MVS
MP-MVS - accuracy (72.86%)
MP-MVS - completeness (53.68%)
MS-PatchMatch
MS-PatchMatch - accuracy (45.52%)
MS-PatchMatch - completeness (50.95%)
MSDG
MSDG - accuracy (53.70%)
MSDG - completeness (46.35%)
MSLP-MVS++
MSLP-MVS++ - accuracy (71.01%)
MSLP-MVS++ - completeness (53.67%)
MSP-MVS
MSP-MVS - accuracy (62.99%)
MSP-MVS - completeness (69.84%)
MVE
MVE - accuracy (48.99%)
MVE - completeness (6.78%)
MVS-HIRNet
MVS-HIRNet - accuracy (41.85%)
MVS-HIRNet - completeness (45.25%)
MVSTER
MVSTER - accuracy (42.47%)
MVSTER - completeness (56.80%)
MVS_0304
MVS_0304 - accuracy (57.49%)
MVS_0304 - completeness (61.73%)
MVS_111021_LR
MVS_111021_LR - accuracy (60.09%)
MVS_111021_LR - completeness (52.16%)
MVS_Test
MVS_Test - accuracy (47.45%)
MVS_Test - completeness (61.33%)
NCCC
NCCC - accuracy (63.09%)
NCCC - completeness (61.30%)
new-patchmatchnet
new-patchmatchnet - accuracy (13.27%)
new-patchmatchnet - completeness (9.57%)
new_pmnet
new_pmnet - accuracy (12.46%)
new_pmnet - completeness (11.94%)
NR-MVSNet
NR-MVSNet - accuracy (34.68%)
NR-MVSNet - completeness (33.53%)
N_pmnet
N_pmnet - accuracy (13.66%)
N_pmnet - completeness (20.20%)
OMC-MVS
OMC-MVS - accuracy (64.14%)
OMC-MVS - completeness (49.91%)
OpenMVS
OpenMVS - accuracy (52.67%)
OpenMVS - completeness (56.66%)
OPM-MVS
OPM-MVS - accuracy (66.03%)
OPM-MVS - completeness (54.43%)
PatchMatch-RL
PatchMatch-RL - accuracy (59.47%)
PatchMatch-RL - completeness (46.58%)
PatchmatchNet
PatchmatchNet - accuracy (42.83%)
PatchmatchNet - completeness (47.83%)
PatchT
PatchT - accuracy (48.37%)
PatchT - completeness (45.00%)
PCF-MVS
PCF-MVS - accuracy (58.30%)
PCF-MVS - completeness (53.48%)
PEN-MVS
PEN-MVS - accuracy (49.12%)
PEN-MVS - completeness (14.99%)
PGM-MVS
PGM-MVS - accuracy (71.75%)
PGM-MVS - completeness (52.68%)
PHI-MVS
PHI-MVS - accuracy (61.98%)
PHI-MVS - completeness (53.19%)
PLC
PLC - accuracy (63.69%)
PLC - completeness (48.91%)
PM-MVS
PM-MVS - accuracy (60.61%)
PM-MVS - completeness (31.90%)
pm-mvs1
pm-mvs1 - accuracy (34.87%)
pm-mvs1 - completeness (26.41%)
PMMVS
PMMVS - accuracy (42.04%)
PMMVS - completeness (54.55%)
pmmvs-eth3d
pmmvs-eth3d - accuracy (49.87%)
pmmvs-eth3d - completeness (36.69%)
PMMVS2
PMMVS2 - accuracy (3.65%)
PMMVS2 - completeness (1.10%)
pmmvs3
pmmvs3 - accuracy (36.36%)
pmmvs3 - completeness (29.70%)
pmmvs5
pmmvs5 - accuracy (27.82%)
pmmvs5 - completeness (34.36%)
pmmvs6
pmmvs6 - accuracy (36.22%)
pmmvs6 - completeness (24.28%)
pmnet_mix02
pmnet_mix02 - accuracy (21.88%)
pmnet_mix02 - completeness (27.31%)
PMVS
PMVS - accuracy (77.70%)
PMVS - completeness (15.02%)
PS-CasMVS
PS-CasMVS - accuracy (50.12%)
PS-CasMVS - completeness (14.96%)
PVSNet_Blended
PVSNet_Blended - accuracy (50.67%)
PVSNet_Blended - completeness (53.01%)
PVSNet_BlendedMVS
PVSNet_BlendedMVS - accuracy (50.67%)
PVSNet_BlendedMVS - completeness (53.01%)
PVSNet_Blended_VisFu
PVSNet_Blended_VisFu - accuracy (63.55%)
PVSNet_Blended_VisFu - completeness (46.28%)
QAPM
QAPM - accuracy (55.07%)
QAPM - completeness (59.10%)
RPMNet
RPMNet - accuracy (41.78%)
RPMNet - completeness (33.87%)
RPSCF
RPSCF - accuracy (65.14%)
RPSCF - completeness (32.73%)
SCA
SCA - accuracy (47.69%)
SCA - completeness (44.43%)
SD-MVS
SD-MVS - accuracy (72.84%)
SD-MVS - completeness (53.52%)
SED-MVS
SED-MVS - accuracy (63.16%)
SED-MVS - completeness (70.03%)
SF-MVS
SF-MVS - accuracy (64.64%)
SF-MVS - completeness (61.11%)
SMA-MVS
SMA-MVS - accuracy (65.95%)
SMA-MVS - completeness (61.43%)
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 (68.73%)
SteuartSystems-ACMMP - completeness (54.00%)
TAMVS
TAMVS - accuracy (27.12%)
TAMVS - completeness (30.01%)
TAPA-MVS
TAPA-MVS - accuracy (61.58%)
TAPA-MVS - completeness (46.99%)
TDRefinement
TDRefinement - accuracy (76.72%)
TDRefinement - completeness (29.69%)
test-mter
test-mter - accuracy (41.12%)
test-mter - completeness (41.88%)
test1
test1 - accuracy (34.58%)
test1 - completeness (42.71%)
test123
test123 - accuracy (0.43%)
test123 - completeness (0.01%)
testgi
testgi - accuracy (18.30%)
testgi - completeness (8.06%)
TESTMET0.1,1
TESTMET0.1,1 - accuracy (38.00%)
TESTMET0.1,1 - completeness (45.20%)
testmvs
testmvs - accuracy (0.27%)
testmvs - completeness (0.00%)
test_part1
test_part1 - accuracy (49.99%)
test_part1 - completeness (47.92%)
thisisatest0515
thisisatest0515 - accuracy (60.11%)
thisisatest0515 - completeness (35.43%)
thisisatest0530
thisisatest0530 - accuracy (56.69%)
thisisatest0530 - completeness (44.37%)
TinyColmap
TinyColmap - accuracy (54.72%)
TinyColmap - completeness (38.27%)
tmp_tt
tmp_tt - accuracy (2.00%)
tmp_tt - completeness (1.96%)
tpm
tpm - accuracy (30.06%)
tpm - completeness (49.07%)
tpm cat1
tpm cat1 - accuracy (44.86%)
tpm cat1 - completeness (54.47%)
tpmrst
tpmrst - accuracy (31.98%)
tpmrst - completeness (54.44%)
train_agg
train_agg - accuracy (64.75%)
train_agg - completeness (57.75%)
TranMVSNet+NR-MVSNet
TranMVSNet+NR-MVSNet - accuracy (45.96%)
TranMVSNet+NR-MVSNet - completeness (30.70%)
TransMVSNet (Re)
TransMVSNet (Re) - accuracy (34.35%)
TransMVSNet (Re) - completeness (25.31%)
TSAR-MVS + ACMM
TSAR-MVS + ACMM - accuracy (71.98%)
TSAR-MVS + ACMM - completeness (49.38%)
TSAR-MVS + COLMAP
TSAR-MVS + COLMAP - accuracy (60.02%)
TSAR-MVS + COLMAP - completeness (47.88%)
TSAR-MVS + GP.
TSAR-MVS + GP. - accuracy (65.29%)
TSAR-MVS + GP. - completeness (55.68%)
TSAR-MVS + MP.
TSAR-MVS + MP. - accuracy (70.61%)
TSAR-MVS + MP. - completeness (55.37%)
tttt0517
tttt0517 - accuracy (56.69%)
tttt0517 - completeness (44.37%)
UA-Net
UA-Net - accuracy (59.69%)
UA-Net - completeness (25.62%)
uanet_test
uanet_test - accuracy (0.00%)
uanet_test - completeness (0.00%)
UGNet
UGNet - accuracy (36.10%)
UGNet - completeness (30.93%)
UniMVSNet (Re)
UniMVSNet (Re) - accuracy (48.19%)
UniMVSNet (Re) - completeness (26.76%)
UniMVSNet_ETH3D
UniMVSNet_ETH3D - accuracy (43.72%)
UniMVSNet_ETH3D - completeness (33.41%)
UniMVSNet_NR-MVSNet
UniMVSNet_NR-MVSNet - accuracy (46.91%)
UniMVSNet_NR-MVSNet - completeness (33.43%)
USDC
USDC - accuracy (50.50%)
USDC - completeness (37.86%)
Vis-MVSNet
Vis-MVSNet - accuracy (53.41%)
Vis-MVSNet - completeness (32.42%)
Vis-MVSNet (Re-imp)
Vis-MVSNet (Re-imp) - accuracy (33.08%)
Vis-MVSNet (Re-imp) - completeness (14.45%)
WR-MVS_H
WR-MVS_H - accuracy (50.50%)
WR-MVS_H - completeness (10.45%)
X-MVS
X-MVS - accuracy (62.50%)
X-MVS - completeness (47.83%)
xxxxxxxxxxxxxcwj
xxxxxxxxxxxxxcwj - accuracy (64.64%)
xxxxxxxxxxxxxcwj - completeness (61.11%)
zzz-MVS
zzz-MVS - accuracy (70.63%)
zzz-MVS - completeness (56.73%)
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
:
-71.21 to 126.73
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
:
151.8
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