task_path
stringlengths 3
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⌀ | dataset
stringlengths 1
128
⌀ | model_name
stringlengths 1
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⌀ | paper_url
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⌀ | metric_name
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⌀ | metric_value
stringlengths 1
9.22k
⌀ |
|---|---|---|---|---|---|
Reconstruction > 3D Human Reconstruction
|
4D-DRESS
|
PIFu_Outer
|
https://arxiv.org/abs/1905.05172v3
|
Normal Consistency
|
0.759
|
Reconstruction > 3D Human Reconstruction
|
4D-DRESS
|
PIFu_Outer
|
https://arxiv.org/abs/1905.05172v3
|
IoU
|
0.697
|
Reconstruction > 3D Human Reconstruction
|
4D-DRESS
|
ICON_Outer
|
https://arxiv.org/abs/2112.09127v2
|
Chamfer (cm)
|
2.832
|
Reconstruction > 3D Human Reconstruction
|
4D-DRESS
|
ICON_Outer
|
https://arxiv.org/abs/2112.09127v2
|
Normal Consistency
|
0.762
|
Reconstruction > 3D Human Reconstruction
|
4D-DRESS
|
ICON_Outer
|
https://arxiv.org/abs/2112.09127v2
|
IoU
|
0.756
|
Reconstruction > 3D Human Reconstruction
|
4D-DRESS
|
ECON_Outer
|
https://arxiv.org/abs/2212.07422v2
|
Chamfer (cm)
|
2.852
|
Reconstruction > 3D Human Reconstruction
|
4D-DRESS
|
ECON_Outer
|
https://arxiv.org/abs/2212.07422v2
|
Normal Consistency
|
0.760
|
Reconstruction > 3D Human Reconstruction
|
4D-DRESS
|
ECON_Outer
|
https://arxiv.org/abs/2212.07422v2
|
IoU
|
0.728
|
Reconstruction > 3D Human Reconstruction
|
4D-DRESS
|
Vid2Avatar_Inner
|
https://arxiv.org/abs/2302.11566v1
|
Chamfer (cm)
|
2.870
|
Reconstruction > 3D Human Reconstruction
|
4D-DRESS
|
Vid2Avatar_Inner
|
https://arxiv.org/abs/2302.11566v1
|
Normal Consistency
|
0.750
|
Reconstruction > 3D Human Reconstruction
|
4D-DRESS
|
Vid2Avatar_Inner
|
https://arxiv.org/abs/2302.11566v1
|
IoU
|
0.772
|
Reconstruction > 3D Human Reconstruction
|
4D-DRESS
|
SelfRecon_Outer
|
https://arxiv.org/abs/2201.12792v2
|
Chamfer (cm)
|
3.014
|
Reconstruction > 3D Human Reconstruction
|
4D-DRESS
|
SelfRecon_Outer
|
https://arxiv.org/abs/2201.12792v2
|
Normal Consistency
|
0.725
|
Reconstruction > 3D Human Reconstruction
|
4D-DRESS
|
SelfRecon_Outer
|
https://arxiv.org/abs/2201.12792v2
|
IoU
|
0.787
|
Reconstruction > 3D Human Reconstruction
|
4D-DRESS
|
SelfRecon_Inner
|
https://arxiv.org/abs/2201.12792v2
|
Chamfer (cm)
|
3.180
|
Reconstruction > 3D Human Reconstruction
|
4D-DRESS
|
SelfRecon_Inner
|
https://arxiv.org/abs/2201.12792v2
|
Normal Consistency
|
0.729
|
Reconstruction > 3D Human Reconstruction
|
4D-DRESS
|
SelfRecon_Inner
|
https://arxiv.org/abs/2201.12792v2
|
IoU
|
0.754
|
Reconstruction > 3D Human Reconstruction
|
4D-DRESS
|
Vid2Avatar_Outer
|
https://arxiv.org/abs/2302.11566v1
|
Chamfer (cm)
|
4.027
|
Reconstruction > 3D Human Reconstruction
|
4D-DRESS
|
Vid2Avatar_Outer
|
https://arxiv.org/abs/2302.11566v1
|
Normal Consistency
|
0.683
|
Reconstruction > 3D Human Reconstruction
|
4D-DRESS
|
Vid2Avatar_Outer
|
https://arxiv.org/abs/2302.11566v1
|
IoU
|
0.745
|
Reconstruction > 3D Human Reconstruction
|
EHF
|
Multi-HMR
|
https://arxiv.org/abs/2402.14654v2
|
MPVPE
|
44.2
|
Reconstruction > 3D Human Reconstruction
|
EHF
|
Multi-HMR
|
https://arxiv.org/abs/2402.14654v2
|
PA V2V (mm), whole body
|
32.7
|
Reconstruction > 3D Human Reconstruction
|
EHF
|
Multi-HMR
|
https://arxiv.org/abs/2402.14654v2
|
PA V2V (mm), face
|
5.5
|
Reconstruction > 3D Human Reconstruction
|
EHF
|
SMPLer-X
|
https://arxiv.org/abs/2309.17448v3
|
MPVPE
|
62.4
|
Reconstruction > 3D Human Reconstruction
|
EHF
|
SMPLer-X
|
https://arxiv.org/abs/2309.17448v3
|
PA V2V (mm), whole body
|
37.1
|
Reconstruction > 3D Human Reconstruction
|
EHF
|
OSX
|
https://arxiv.org/abs/2303.16160v1
|
MPVPE
|
70.8
|
Reconstruction > 3D Human Reconstruction
|
EHF
|
OSX
|
https://arxiv.org/abs/2303.16160v1
|
PA V2V (mm), whole body
|
48.7
|
Reconstruction > 3D Human Reconstruction
|
EHF
|
OSX
|
https://arxiv.org/abs/2303.16160v1
|
PA V2V (mm), face
|
6
|
Reconstruction > 3D Human Reconstruction
|
Expressive hands and faces dataset (EHF).
|
PA-V2V (mm)
|
https://arxiv.org/abs/2008.09062v1
|
All
|
54.5
|
Reconstruction > Single-View 3D Reconstruction
|
SynthEVox3D-Tiny
|
towards end-to-end neuromorphic voxel-based 3d object reconstruction without physical priors
|
https://arxiv.org/abs/2501.00741v2
|
A-mIoU
|
0.535
|
Reconstruction > Single-View 3D Reconstruction
|
SynthEVox3D-Tiny
|
E2V
|
https://arxiv.org/abs/2309.00385v1
|
A-mIoU
|
0.346
|
Reconstruction > Single-View 3D Reconstruction
|
TransProteus
|
XYZNet
|
https://arxiv.org/abs/2109.07577v1
|
R2
|
0.94
|
Reconstruction > Single-View 3D Reconstruction
|
CUB-200-2011
|
3D Magic Mirror
|
https://arxiv.org/abs/2204.13096v2
|
FID
|
63.5
|
Reconstruction > Single-View 3D Reconstruction
|
ShapeNet
|
SDFDiff
|
https://arxiv.org/abs/1912.07109v2
|
3DIoU
|
0.6674
|
Reconstruction > Single-View 3D Reconstruction
|
ShapeNet
|
ZubicLio
|
https://arxiv.org/abs/2103.03390v2
|
3DIoU
|
0.6543
|
Reconstruction > Single-View 3D Reconstruction
|
ShapeNet
|
SoftRas (full)
|
http://arxiv.org/abs/1904.01786v1
|
3DIoU
|
0.6464
|
Reconstruction > Single-View 3D Reconstruction
|
ShapeNet
|
DIB-R
|
https://arxiv.org/abs/1908.01210v2
|
3DIoU
|
0.612
|
Reconstruction > Single-View 3D Reconstruction
|
ShapeNet
|
DIB-R
|
https://arxiv.org/abs/1908.01210v2
|
F-Score
|
0.558
|
Reconstruction > Single-View 3D Reconstruction
|
ShapeNet
|
NMR [19]
|
http://arxiv.org/abs/1904.01786v1
|
3DIoU
|
0.6015
|
Reconstruction > Single-View 3D Reconstruction
|
ShapeNet
|
voxel [47]
|
http://arxiv.org/abs/1904.01786v1
|
3DIoU
|
0.5736
|
Reconstruction > Single-View 3D Reconstruction
|
ShapeNet
|
retrieval [47]
|
http://arxiv.org/abs/1904.01786v1
|
3DIoU
|
0.4766
|
Reconstruction > Single-View 3D Reconstruction
|
ATR
|
3D Magic Mirror
|
https://arxiv.org/abs/2204.13096v2
|
FID
|
66.8
|
Reconstruction > Single-View 3D Reconstruction
|
Market-HQ
|
3D Magic Mirror
|
https://arxiv.org/abs/2204.13096v2
|
FID
|
46.7
|
Reconstruction > Single-View 3D Reconstruction
|
ShapeNetCore
|
DISN
|
https://arxiv.org/abs/1905.10711v5
|
3DIoU
|
0.57
|
Reconstruction > Single-View 3D Reconstruction
|
ShapeNetCore
|
OccNet
|
https://arxiv.org/abs/1905.10711v5
|
3DIoU
|
0.564
|
Reconstruction > Single-View 3D Reconstruction
|
ShapeNetCore
|
IMNET
|
https://arxiv.org/abs/1905.10711v5
|
3DIoU
|
0.546
|
Reconstruction > Single-View 3D Reconstruction
|
ShapeNetCore
|
3DN
|
https://arxiv.org/abs/1905.10711v5
|
3DIoU
|
0.487
|
Reconstruction > Single-View 3D Reconstruction
|
ShapeNetCore
|
Pxl2mesh
|
https://arxiv.org/abs/1905.10711v5
|
3DIoU
|
0.473
|
Reconstruction > Single-View 3D Reconstruction
|
ShapeNetCore
|
AtlasNet
|
https://arxiv.org/abs/1905.10711v5
|
3DIoU
|
0,3
|
Reconstruction > Single-View 3D Reconstruction
|
GSO
|
Unique3D
|
https://arxiv.org/abs/2405.20343v3
|
Chamfer Distance
|
0.0145
|
Reconstruction > Single-View 3D Reconstruction
|
GSO
|
Unique3D
|
https://arxiv.org/abs/2405.20343v3
|
IoU
|
55.38
|
Reconstruction > Single-View 3D Reconstruction
|
GSO
|
Unique3D
|
https://arxiv.org/abs/2405.20343v3
|
F-Score
|
68.45%
|
Reconstruction > Single-View 3D Reconstruction
|
GSO
|
Wonder3D
|
https://arxiv.org/abs/2310.15008v3
|
Chamfer Distance
|
0.0199
|
Reconstruction > Single-View 3D Reconstruction
|
GSO
|
Wonder3D
|
https://arxiv.org/abs/2310.15008v3
|
IoU
|
62.44
|
Reconstruction > Single-View 3D Reconstruction
|
GSO
|
SyncDreamer
|
https://arxiv.org/abs/2309.03453v2
|
Chamfer Distance
|
0.0261
|
Reconstruction > Single-View 3D Reconstruction
|
GSO
|
SyncDreamer
|
https://arxiv.org/abs/2309.03453v2
|
IoU
|
54.21
|
Reconstruction > Single-View 3D Reconstruction
|
Common Objects in 3D
|
NU-MCC
|
https://arxiv.org/abs/2307.09112v2
|
Avg. F1
|
83.8
|
Reconstruction > Single-View 3D Reconstruction
|
Common Objects in 3D
|
MCC
|
https://arxiv.org/abs/2301.08247v1
|
Avg. F1
|
56.7
|
Reconstruction > Single-View 3D Reconstruction
|
Common Objects in 3D
|
PointTr
|
https://arxiv.org/abs/2108.08839v1
|
Avg. F1
|
39.7
|
Reconstruction > Single-View 3D Reconstruction > 3D Semantic Scene Completion from a single RGB image
|
KITTI-360
|
CGFormer
|
https://arxiv.org/abs/2405.13675v4
|
mIoU
|
20.05
|
Reconstruction > Single-View 3D Reconstruction > 3D Semantic Scene Completion from a single RGB image
|
KITTI-360
|
Symphonies
|
https://arxiv.org/abs/2306.15670v2
|
mIoU
|
18.58
|
Reconstruction > Single-View 3D Reconstruction > 3D Semantic Scene Completion from a single RGB image
|
KITTI-360
|
MonoScene
|
https://arxiv.org/abs/2112.00726v2
|
mIoU
|
12.31
|
Reconstruction > Single-View 3D Reconstruction > 3D Semantic Scene Completion from a single RGB image
|
KITTI-360
|
VoxFormer
|
https://arxiv.org/abs/2302.12251v2
|
mIoU
|
11.91
|
Reconstruction > Single-View 3D Reconstruction > 3D Semantic Scene Completion from a single RGB image
|
NYUv2
|
ISO
|
https://arxiv.org/abs/2407.11730v2
|
mIoU
|
31.25
|
Reconstruction > Single-View 3D Reconstruction > 3D Semantic Scene Completion from a single RGB image
|
NYUv2
|
NDC-Scene
|
https://arxiv.org/abs/2309.14616v3
|
mIoU
|
29.03
|
Reconstruction > Single-View 3D Reconstruction > 3D Semantic Scene Completion from a single RGB image
|
NYUv2
|
MonoScene
|
https://arxiv.org/abs/2112.00726v2
|
mIoU
|
26.94
|
Reconstruction > Single-View 3D Reconstruction > 3D Semantic Scene Completion from a single RGB image
|
NYUv2
|
3DSketch (rgb input - reported in MonoScene paper)
|
https://arxiv.org/abs/2003.14052v1
|
mIoU
|
22.91
|
Reconstruction > Single-View 3D Reconstruction > 3D Semantic Scene Completion from a single RGB image
|
NYUv2
|
AICNet (rgb input - reported in MonoScene paper)
|
https://arxiv.org/abs/2004.02122v1
|
mIoU
|
18.15
|
Reconstruction > Single-View 3D Reconstruction > 3D Semantic Scene Completion from a single RGB image
|
NYUv2
|
LMSCNet (rgb input - reported in MonoScene paper)
|
https://arxiv.org/abs/2008.10559v2
|
mIoU
|
15.88
|
Reconstruction > Single-View 3D Reconstruction > 3D Semantic Scene Completion from a single RGB image
|
SemanticKITTI
|
CGFormer
|
https://arxiv.org/abs/2405.13675v4
|
mIoU
|
16.63
|
Reconstruction > Single-View 3D Reconstruction > 3D Semantic Scene Completion from a single RGB image
|
SemanticKITTI
|
Symphonies
|
https://arxiv.org/abs/2306.15670v2
|
mIoU
|
15.04
|
Reconstruction > Single-View 3D Reconstruction > 3D Semantic Scene Completion from a single RGB image
|
SemanticKITTI
|
NDC-Scene
|
https://arxiv.org/abs/2309.14616v3
|
mIoU
|
12.58
|
Reconstruction > Single-View 3D Reconstruction > 3D Semantic Scene Completion from a single RGB image
|
SemanticKITTI
|
OccFormer
|
https://arxiv.org/abs/2304.05316v1
|
mIoU
|
12.32
|
Reconstruction > Single-View 3D Reconstruction > 3D Semantic Scene Completion from a single RGB image
|
SemanticKITTI
|
VoxFormer
|
https://arxiv.org/abs/2302.12251v2
|
mIoU
|
12.20
|
Reconstruction > Single-View 3D Reconstruction > 3D Semantic Scene Completion from a single RGB image
|
SemanticKITTI
|
MonoScene
|
https://arxiv.org/abs/2112.00726v2
|
mIoU
|
11.08
|
Reconstruction > Single-View 3D Reconstruction > 3D Semantic Scene Completion from a single RGB image
|
SemanticKITTI
|
JS3C-Net (rgb input - reported in MonoScene paper)
|
https://arxiv.org/abs/2012.03762v1
|
mIoU
|
8.97
|
Reconstruction > Single-View 3D Reconstruction > 3D Semantic Scene Completion from a single RGB image
|
SemanticKITTI
|
LMSCNet (rgb input - reported in MonoScene paper)
|
https://arxiv.org/abs/2008.10559v2
|
mIoU
|
7.09
|
Reconstruction > Single-View 3D Reconstruction > 3D Semantic Scene Completion from a single RGB image
|
SemanticKITTI
|
3DSketch (rgb input - reported in MonoScene paper)
|
https://arxiv.org/abs/2003.14052v1
|
mIoU
|
6.23
|
Reconstruction > Single-Image-Based Hdr Reconstruction
|
City Scene Dataset
|
FHDR
|
https://arxiv.org/abs/1912.11463v1
|
PSNR
|
32.54
|
Reconstruction > Single-Image-Based Hdr Reconstruction
|
City Scene Dataset
|
FHDR
|
https://arxiv.org/abs/1912.11463v1
|
SSIM
|
0.95
|
Reconstruction > Single-Image-Based Hdr Reconstruction
|
City Scene Dataset
|
FHDR
|
https://arxiv.org/abs/1912.11463v1
|
HDR-VDP2 Q SCORE
|
67.18
|
Facial Recognition and Modelling > Face Recognition
|
UND-X1
|
Model with Up Convolution + DoG Filter
|
https://arxiv.org/abs/2002.04219v1
|
Rank-1
|
87.2
|
Facial Recognition and Modelling > Face Recognition
|
UND-X1
|
DPM
|
http://arxiv.org/abs/1601.05347v2
|
Rank-1
|
83.73
|
Facial Recognition and Modelling > Face Recognition
|
mebeblurf
|
PIC - MagFace
|
https://arxiv.org/abs/2211.12483v3
|
FNMR [%] @ 10-3 FMR
|
9.75
|
Facial Recognition and Modelling > Face Recognition
|
mebeblurf
|
PIC - QMagFace
|
https://arxiv.org/abs/2211.12483v3
|
FNMR [%] @ 10-3 FMR
|
9.78
|
Facial Recognition and Modelling > Face Recognition
|
mebeblurf
|
PIC - ArcFace
|
https://arxiv.org/abs/2211.12483v3
|
FNMR [%] @ 10-3 FMR
|
10.1
|
Facial Recognition and Modelling > Face Recognition
|
MORPH
|
PIC - ArcFace
|
https://arxiv.org/abs/2211.12483v3
|
FNMR [%] @ 10-3 FMR
|
0.05
|
Facial Recognition and Modelling > Face Recognition
|
MORPH
|
PIC - MagFace
|
https://arxiv.org/abs/2211.12483v3
|
FNMR [%] @ 10-3 FMR
|
0.96
|
Facial Recognition and Modelling > Face Recognition
|
MORPH
|
PIC - QMagFace
|
https://arxiv.org/abs/2211.12483v3
|
FNMR [%] @ 10-3 FMR
|
0.96
|
Facial Recognition and Modelling > Face Recognition
|
XQLFW
|
FaceTransformer+OctupletLoss
|
https://arxiv.org/abs/2207.06726v2
|
Accuracy
|
0.9512
|
Facial Recognition and Modelling > Face Recognition
|
MFW+ (U-M)
|
AdaFace+PPL
|
https://bmvc2022.mpi-inf.mpg.de/723/
|
TAR@FAR=0.0001
|
84.27
|
Facial Recognition and Modelling > Face Recognition
|
MFW+ (U-M)
|
MaskInv-HG
|
https://bmvc2022.mpi-inf.mpg.de/723/
|
TAR@FAR=0.0001
|
83.82
|
Facial Recognition and Modelling > Face Recognition
|
MFW+ (U-M)
|
FocusFace
|
https://bmvc2022.mpi-inf.mpg.de/723/
|
TAR@FAR=0.0001
|
83.40
|
Facial Recognition and Modelling > Face Recognition
|
BTS3.1
|
MCN
|
http://arxiv.org/abs/1807.09192v1
|
TAR @ FAR=0.01
|
0.5425
|
Facial Recognition and Modelling > Face Recognition
|
IJB-B
|
ArcFace+CSFM
|
https://arxiv.org/abs/2207.10180v1
|
TAR @ FAR=1e-5
|
0.9095
|
Facial Recognition and Modelling > Face Recognition
|
IJB-B
|
ArcFace+CSFM
|
https://arxiv.org/abs/2207.10180v1
|
TAR @ FAR=1e-4
|
0.9461
|
Facial Recognition and Modelling > Face Recognition
|
IJB-B
|
ArcFace+CSFM
|
https://arxiv.org/abs/2207.10180v1
|
TAR @ FAR=1e-3
|
0.9621
|
Facial Recognition and Modelling > Face Recognition
|
IJB-B
|
ArcFace+CSFM
|
https://arxiv.org/abs/2207.10180v1
|
Rank-1
|
0.9496
|
Facial Recognition and Modelling > Face Recognition
|
IJB-B
|
ArcFace+CSFM
|
https://arxiv.org/abs/2207.10180v1
|
Rank-5
|
0.9684
|
Facial Recognition and Modelling > Face Recognition
|
IJB-B
|
ArcFace + MS1MV2 + R100
|
https://arxiv.org/abs/2204.00964v2
|
TAR @ FAR=1e-5
|
0.8933
|
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