Hao Li, Xiyuan Zheng, Yuanyuan Gao, Yalun Dai, Xinhao Ji, Xuan-Li Chen, Jing Zhao, Fangzhou Hong · 2026 · arXiv
DOI: 10.48550/arXiv.2610.26549 · open-access PDF
인간의 자아 중심적인 경험은 세계가 어떻게 조직되고 어떻게 상호 작용을 통해 변화하는지 배우기위한 풍부한 기초를 제공합니다.이 잠재력을 규모로 실현하기 위해서는 스케줄 구조, 객체 세마닉, 관점과 시간을 통한 상호 작용 역사를 연결하는 학습 자원으로 녹화의 증가하는 양을 변환해야하며 비용이 많이 드는 수동 노트에 대한 의존성을 줄이기 위해 HOLI-WORLD를 도입합니다.
Machine translation (Meta M2M100); the English original follows.
Human egocentric experience offers a rich foundation for learning how the world is organized and how it changes through interaction. Realizing this potential at scale requires turning growing volumes of recordings into learning resources that connect scene structure, object semantics, and interaction histories across viewpoints and time, while reducing dependence on costly manual annotation. We introduce HOLI-WORLD, an integrated ecosystem connecting experience capture, world representation, automated data construction, model learning, and independent evaluation. To sup- port learning at scale
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