terrace (high-res multi-view)

terrace (high-res multi-view) - Tolerance 50cm

Ground Truth (full)
Ground Truth (dslr eval)
3Dnovator
3Dnovator+
ACMH
ACMH+
ACMM
ACMMP
ACMMPR
ACMMP_NAP
ACMP
AdaColmap
ADS-MVSNet
ambc
Anonymous20231206
Anonymous202405211
anonymousdsp
APD-MVS
APDe-MVS
baseline1
baseline2
Baseline_NR-MVSNet
CANet
CANet_DTU
canonicalmvs
casdiffmvs
CDPH-MVS
CDS-MVSNet
CHOSEN 1792x2688
CHOSEN 280x420
CLD-MVS
CMPMVS
CNLPA
CNVR-MVS
COLMAP_ROB
CostFormer
CP-MVS
CP-MVSNet
CPTT-MVS
CR-MVSNet
CS-MVS
CSCG
CVMVSNet
DCV-MVSNet
DeepC-MVS
DeepC-MVS_fast
DeepMVS_CX
DeepPCF-MVS
DELS-MVS
diffmvs
DPE-MVS
DPM-MVS
dps
DTE-MVSNet
DU-MVS
DVP-MVS
E-PMN
Effi-MVS+
Effi-MVS+-dtu
EG-PatchMatch MVS
EIA-MVS
EMVS
EPMVS
EPNet
EPNet_dtu
EPP-MVSNet
ET-MVSNet_ETH3D
ETV-MVS
EU-MVSNet
Fast-Effi-MVS+
Fast-Effi-MVS+-dtu
FC-MVSNet-test
FC-MVSNet-train
FMVSNet1
FMVSNet2
FMVSNet3
FMVSNet5
FPMVS
GA-MVS
GBi-Net
GG-mvs-BLEND
gg-mvs-nofinetune
Gipuma
gm-plane-assit
HFP-MVS
HPM-MVS++
HQP-MVS
HyFIR lowres test
IB-MVS
IS_MVSNet
IterMVS
IterMVS-LS
IterMVS-SCA-FT
LGP-MVS_train
LS3D
LTVRE_ROB
MAR-MVS
MCST-MVS
MDA-MVSNet-bldmvs
MDTV_nov1_ep13
MDTV_nov1_ep13_2view
MIMVSNet
MIMVSNet1
MP-MVS
MS-PatchMatch
MSDG
MSLP-MVS++
MSP-MVS
MVE
MVS-HIRNet
MVSTER
MVS_0304
MVS_111021_LR
MVS_Test
NCCC
new-patchmatchnet
new_pmnet
NR-MVSNet
N_pmnet
OMC-MVS
OpenMVS
OPM-MVS
PatchMatch-RL
PatchmatchNet
PatchT
PCF-MVS
PEN-MVS
PGM-MVS
PHI-MVS
PLC
PM-MVS
pm-mvs1
PMMVS
pmmvs-eth3d
PMMVS2
pmmvs3
pmmvs5
pmmvs6
pmnet_mix02
pmnet_mix02 - accuracy (97.38%)
pmnet_mix02 - completeness (99.06%)
PMVS
PS-CasMVS
PVSNet_Blended
PVSNet_BlendedMVS
PVSNet_Blended_VisFu
QAPM
RPMNet
RPSCF
SCA
SD-MVS
SED-MVS
SED-MVS - accuracy (99.53%)
SED-MVS - completeness (99.87%)
SF-MVS
SMA-MVS
sosnet
sosnet-low-res
SteuartSystems-ACMMP
TAMVS
TAPA-MVS
TDRefinement
test-mter
test1
test123
testgi
TESTMET0.1,1
testmvs
test_part1
test_part1 - accuracy (99.96%)
test_part1 - completeness (98.63%)
thisisatest0515
thisisatest0530
TinyColmap
tmp_tt
tpm
tpm cat1
tpmrst
train_agg
TranMVSNet+NR-MVSNet
TransMVSNet (Re)
TSAR-MVS + ACMM
TSAR-MVS + COLMAP
TSAR-MVS + GP.
TSAR-MVS + MP.
tttt0517
UA-Net
uanet_test
UGNet
UniMVSNet (Re)
UniMVSNet_ETH3D
UniMVSNet_NR-MVSNet
USDC
Vis-MVSNet
Vis-MVSNet (Re-imp)
WR-MVS_H
X-MVS
X-MVStestdata
XVS
xxxxxxxxxxxxxcwj
zzz-MVS

Attributes:
RGB

Attribute Weights

RGB:

Intensity:

Elevation:

Classification:

Return Number:

Source ID:

RGB

Gamma: 1.00

Brightness: 0.00

Contrast: 0.00

Elevation

: 0.00 to 1.00

Transition

transition:

Intensity

Range: 0 to 300

Gamma: 1.00

Brightness: 0.00

Contrast: 0.00

:1,000,000
:1.00
:60
:1.00
Point Sizing Adaptive
Squares

Eye-Dome-Lighting

:1.4

:1.0

Background

Gradient

Black

White

Navigation

: 0.4

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:

loading 1 / 10

Fixed
Attenuated
Adaptive

Squares
Circles
Interpolation

RGB
RGB and Elevation
Elevation
Level of Detail