arXiv 2610.26625 · · 2026-10-19
EgoXperience: Learning World-Grounded Egocentric Representations from Human Experience
Xinhao Ji, Hui En Pang, Hao Li, Kairui Hu, Jiner Wang, Mingze Sun, Ziang Cao, Yalun Dai and 7 more
Ropedia
In latest · #93 Added on 2026-10-21
One-line takeaway
EgoXperience jointly reconstructs observer motion, scene geometry and hand-object interaction from egocentric video, with an auto-annotation engine and benchmark.
EgoXperience 用自动标注引擎联合重建第一视角视频中的人体运动、场景几何与手物交互，并配套基准。
Read on arXiv PDF Hugging Face discussion Code Project page
Topics & disciplines
More on Vision & 3D
- VisionHOPE: Visual Backbones as Self-Modifying Learning Systems ▲296
- Holi-World: Building Holistic World Intelligence from Human-Ego Experience ▲156
- GroundAnything: Reconciling Parallel Decoding with Precise Visual Grounding at Flash Speed ▲94
- EditHero: A Benchmark for Long-Horizon Part-Level 3D Editing and Vibe Modeling ▲60
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About this data
Metadata from the arXiv API (verified); upvotes from Hugging Face Daily Papers; citations from Semantic Scholar. Last refreshed 2026-10-22.
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