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 等 15 人
Ropedia
在最新榜 #93 本站收录于 2026-10-21
一句话要点
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。
EgoXperience jointly reconstructs observer motion, scene geometry and hand-object interaction from egocentric video, with an auto-annotation engine and benchmark.
阅读 arXiv 原文 PDF Hugging Face 讨论 代码仓库 项目页
主题与学科
同主题：视觉理解与 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
- All-in-One Multilingual Scene Text Recognition with Script-aware Mixture-of-Experts ▲56
数据说明
元数据来自 arXiv API（已核实）；点赞来自 Hugging Face 每日论文；引用来自 Semantic Scholar。最近刷新 2026-10-22。
要点由本站根据摘要自写，不转载摘要原文，请阅读原文。