Face Anything: 4D Face Reconstruction from Any Image Sequence (ECCV 2026)
rsasaki0109 · x · 2026-08-26
- Paper Context: Accepted as an Oral (Spotlight) paper at ECCV 2026.
- Core Capability: A unified feed-forward model for high-fidelity 4D face reconstruction and dense tracking from arbitrary image sequences.
- Technical Approach: Introduces "canonical facial point prediction," assigning each pixel a normalized facial coordinate in a shared canonical space. This transforms dense tracking and dynamic reconstruction into a single canonical reconstruction problem for temporally consistent geometry.
- Availability: Official implementation is available on GitHub with installation scripts and inference code.
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