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Showing papers from Hong Kong University of Science and Technology (Guang Zhou) Show all papers

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NeurIPS 2026Hong Kong University of Science The Hong Kong University of ScieHong Kong University of Science The Chinese University of Hong KVideo generation

Motion Forcing: Decoupling Ego and Object Motion via Sparse Inputs for Structured Video Generation

Tianshuo Xu, ZhiFei Chen, Leyi Wu, Hao LU and 1 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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medium 0/10
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NeurIPS 2026Huazhong University of Science aApplied Intuition, Inc.Applied IntuitionUC BerkeleyHong Kong University of Science Video generation

LaMo: Self-Supervised Latent Motion Priors for Physical Realism in Video Generation

LaMo extracts self-supervised latent motion priors from unlabeled videos via motion drift loss and prior guidance, improving physical consistency in video diffusion without external supervision.

Bo Jiang, Depu Meng, yihan hu, Yichen Xie and 2 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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AI panel: 14 of 20 reviewers recommend it
lenient 5/5
medium 9/10
strict 0/5
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NeurIPS 2026Hong Kong University of Science UC BerkeleyApplied Intuition, Inc.U California, BerkeleyHuazhong University of Science aVideo generation

Teaching Video Generators to Remember: Eliciting Dynamic Memory for Out-of-Sight State Evolution

ReMind trains video diffusion transformers to use cache memory for evolving hidden states across interruptions via memory-oriented curricula and PM-RoPE, achieving best STEVO-Bench scores without catastrophic forgetting.

Tianshuo Xu, Yichen Xie, Depu Meng, Chensheng Peng and 4 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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13/20 AI panelreviewers recommend it

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AI panel: 13 of 20 reviewers recommend it
lenient 3/5
medium 9/10
strict 1/5