Research map / Point clouds / Shape and surface completion
Functional Faces: Groupwise Dense Correspondence Using Functional Maps
Check your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| use groupwise functional maps instead of pairwise functional maps (ablation) | Functional Maps · BU3D | geodesic error | Helped |
| add ICP refinement to groupwise functional maps (ablation) | Groupwise Functional Maps · BU3D | geodesic error | Helped |
| use filtered feature-match warping instead of nearest-neighbor point-to-point conversion (ablation) | Groupwise Functional Maps · 3DRFE subset | texture consistency: .0101 -> .0099 | Helped |
| use groupwise functional maps with nearest-neighbor conversion instead of non-rigid ICP | 3DRFE subset · 3DRFE subset | texture consistency: .0103 -> .0101 | Helped |
| use groupwise functional maps with feature-match warping instead of non-rigid ICP | 3DRFE subset · 3DRFE subset | texture consistency: .0103 -> .0099 | Helped |
| use functional-map filtering and feature-match warping rather than nearest-neighbor conversion (ablation) | Groupwise Functional Maps · 3DRFE | texture-transfer correspondence quality | Helped |
| use texture-derived functions, including landmarks and local features, in functional maps | Functional Maps · 3D face correspondence | correspondence quality | Helped |
| filter tentative feature matches using the functional-map embedding constraint | Within-person face correspondence · 3DRFE | correspondence quality | Helped |
Closest papers by meaning
- Denoising Functional Maps: Diffusion Models for Shape Correspondence (CVPR 2025 · similarity 0.89)
- Memory-Scalable and Simplified Functional Map Learning (CVPR 2024 · similarity 0.88)
- Locality Preserving Refinement for Shape Matching with Functional Maps (AAAI 2024 · similarity 0.87)
- Hybrid Functional Maps for Crease-Aware Non-Isometric Shape Matching (CVPR 2024 · similarity 0.86)
- Multi-Shape Matching with Cycle Consistency Basis via Functional Maps (AAAI 2025 · similarity 0.85)
- Spectral Meets Spatial: Harmonising 3D Shape Matching and Interpolation (CVPR 2024 · similarity 0.85)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.