task_path stringlengths 3 199 ⌀ | dataset stringlengths 1 128 ⌀ | model_name stringlengths 1 223 ⌀ | paper_url stringlengths 21 601 ⌀ | metric_name stringlengths 1 50 ⌀ | 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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