Research map / 3D vision / Face and shape
A Field Model for Repairing 3D Shapes
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use multi-view RGB appearance with a learned 3D shape prior instead of geometry-only ShapeNets | 3D shape repair · Synthetic 3D object dataset | sum of inaccuracy and incompleteness | Helped |
| Use a learned 3D shape prior rather than low-level geometric information alone | 3D shape repair · Synthetic 3D object dataset | sum of inaccuracy and incompleteness | Helped |
| Increase the level of shape degradation | Proposed method · Synthetic 3D object dataset | inaccuracy and incompleteness | Hurt |
Closest papers by meaning
- UniRestore3D: A Scalable Framework For General Shape Restoration (ICLR 2025 · similarity 0.87)
- From Points to Multi-Object 3D Reconstruction (CVPR 2021 · similarity 0.86)
- Neural Markov Random Field for Stereo Matching (CVPR 2024 · similarity 0.84)
- A Lightweight UDF Learning Framework for 3D Reconstruction Based on Local Shape Functions (CVPR 2025 · similarity 0.84)
- DiffHuman: Probabilistic Photorealistic 3D Reconstruction of Humans (CVPR 2024 · similarity 0.84)
- 3D Reconstruction with Generalizable Neural Fields using Scene Priors (ICLR 2024 · similarity 0.84)
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