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HOMIE: Human-object Centric Video Personalization via Multimodal Intelligent Enchancement

46 upvotes · 20 JUL 2026 · Yiyang Cai, Nan Chen, Rongchang Xie et al.

This paper develops a video personalization method that focuses on human-object interactions, aiming to improve the accuracy of video generation by better understanding human-object relationships and incorporating intra-subject references. Practitioners may care about this research as it could lead to more realistic and engaging video content.

multimodal intelligent enhancementvideo generationhuman-object interactionsubject-driven video generationself-attentionmultimodal guidance

Apple-π: Benchmarking Thinking with Video Towards Law-Grounded Physical Intelligence

37 upvotes · 17 JUL 2026 · Runmao Yao, Kairui Hu, Yukang Cao et al.

This paper introduces a benchmark to evaluate video generation models' ability to reason about physical laws, which is crucial for creating reliable world simulators. Practitioners caring about developing more realistic and physically intelligent AI models will find this research valuable.

video generationphysical intelligencelaw-grounded reasoningclassical mechanicsscientific reasoningworld models