EgoPHI estimates hand-object contact and 3D force from one RGB image
EgoPHI jointly estimates dense contact maps and 3D force distributions for hand and object meshes from a single RGB image and object geometry, using physics simulation for per-vertex force supervision, with real validation on only two objects and eight participants.
ImportanceLocalEvidenceE2 unreplicated
You can now jointly estimate dense contact maps and 3D force distributions for hand and object meshes from a single RGB image and object geometry: EgoPHI uses physics simulation to generate per-vertex force supervision, with real-world validation on only two objects and eight participants.
Previously there was no method to obtain both contact and 3D force distributions from monocular RGB, and per-vertex force supervision was hard to collect directly.
Andela Ilic, Christian Holz and co-authors released EgoPHI on arXiv (submitted August 13, revised to v2 on September 15); the page notes acceptance to ECCV 2026.
No independent verification yet. Source: arXiv:2608.13014 abstract page ↗