Research map / 3D vision / Face and shape
LISA: Learning Implicit Shape and Appearance of Hands
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use per-bone SDF and color predictions blended by learned skinning weights | LISA · 3DH and MANO point-cloud tests | V2V [mm]: 3.05 -> 2.93; 3.14 -> 3.09 | Helped |
| Add the geometric prior to image training (ablation) | LISA-im · 3DH and MANO point-cloud tests, reconstruction to scan | V2V [mm]: 2.93 -> 1.93; 3.09 -> 1.45 | Helped |
| Train only with the geometric prior instead of images (ablation) | LISA · 3DH and MANO point-cloud tests, reconstruction to scan | V2V [mm]: 2.93 -> 0.83; 3.09 -> 0.36 | Helped |
| Add the geometric prior to image training (ablation) | LISA-im · DeepHandMesh, 1 view | V2V: 5.48 -> 3.84 | Helped |
| Add the geometric prior to image training (ablation) | LISA-im · DeepHandMesh, 2 and 4 views | V2V: 3.86 -> 3.70; 3.62 -> 3.53 | Helped |
| Add the geometric prior to image training (ablation) | LISA-im · DeepHandMesh, 1 view | PSNR: 25.04 -> 25.43 | Helped |
| Add the geometric prior to image training (ablation) | LISA-im · InterHand2.6M color reconstruction, 1 view | LPIPS: 0.08 -> 0.06 | Helped |
| Add the geometric prior to image training (ablation) | LISA-im · InterHand2.6M color reconstruction, 2 views | LPIPS: 0.07 -> 0.06 | Helped |
| Add the geometric prior to image training (ablation) | LISA-im · InterHand2.6M color reconstruction, 4 views | LPIPS: 0.07 -> 0.05 | Helped |
| Use images and geometric prior together rather than the geometric prior alone (ablation) | LISA-geom · 3DH point-cloud test, reconstruction to scan | V2V [mm]: 0.83 -> 1.93 | Hurt |
| Use images and geometric prior together rather than the geometric prior alone (ablation) | LISA-geom · MANO point-cloud test, reconstruction to scan | V2V [mm]: 0.36 -> 1.45 | Hurt |
| Use the geometric prior in image reconstruction (ablation) | LISA-im · DeepHandMesh novel-view color reconstruction | PSNR: 1 view: 25.04 -> 25.43; 2 views: 29.84 -> 29.40; 4 views: 30.21 -> 29.69 | Mixed |
Closest papers by meaning
- SRHand: Super-Resolving Hand Images and 3D Shapes via View/Pose-aware Neural Image Representations and Explicit Meshes (NeurIPS 2025 · similarity 0.88)
- Fine-Grained Multi-View Hand Reconstruction Using Inverse Rendering (AAAI 2024 · similarity 0.88)
- FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation (CVPR 2025 · similarity 0.88)
- HOLD: Category-agnostic 3D Reconstruction of Interacting Hands and Objects from Video (CVPR 2024 · similarity 0.88)
- Learning Explicit Contact for Implicit Reconstruction of Hand-Held Objects from Monocular Images (AAAI 2024 · similarity 0.87)
- HanDiffuser: Text-to-Image Generation With Realistic Hand Appearances (CVPR 2024 · similarity 0.87)
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