ReViV: 4D Reconstruction from Monocular Egocentric Video
rsasaki0109 · x · 2026-08-29
ReViV is a unified framework for holistic egocentric 4D reconstruction from a single RGB video. It reconstructs viewer-centric human motion (body, hand, gaze) and view-centric scene geometry (camera, depth) in a feed-forward model. Accepted by ECCV 2026.
More from Research
- Anthropic shows AI researchers autonomously improving alignment of other models — VraserX · 2026-08-30
- Learn Positional Encodings derivation from first principles — zainhas · 2026-08-30
- COLM Paper Traces Capability Provenance in LLMs via Gradient Attribution — ziv_ravid · 2026-08-30
- Toby Ord paper argues recursive self-improvement has physical limits — Exponential View (Azeem Azhar) · 2026-08-30
- AI Formalization Tools Fable and Sol Spot First Repairable Error in Published Literature — Sauers_ · 2026-08-30
- Mark Schmidt Posts ICML Tutorial Video: Is Numerical Optimization Theory Irrelevant to ML Practice in 2026? — MarkSchmidtUBC · 2026-08-30