Author

Zuxuan Wu

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Preprint Oct 2026

Prism: Dynamic Sparse Attention for Native 2K Joint Video-Audio Generation Model Training

Natively training joint video-audio generation models at higher resolutions empowers them to learn richer visual details and sharper motion dynamics. However, full attention incurs quadratic cost and, as resolution increases, spreads attention over increasingly redundant tokens, diluting learning signals for informativ...

Shu-Yuan Tu, Qi Tian, Yin-Ming Huang et al. · 0 citations

Preprint Aug 2026

VA-Judger: Reward Modeling from Human Preference Feedback for Joint Video-Audio Generation

VA-Judger is proposed, a chain-of-thought omni-reward model that learns from pairs with clear quality gaps to establish structured output and coarse preference discrimination, then distills reliable preference explanations for harder near-quality comparisons via rejection sampling verified against human annotations, an...

Yin-Ming Huang, Shu-Yuan Tu, Xi Yan et al. · 6 citations · ⚡1

Preprint Aug 2026

CopyCat: Improving Fine-Grained Subject Consistency in Subject-to-Image Models within Seconds

This work proposes CopyCat, a lightweight model-refinement framework that improves fine-grained subject consistency within only a few seconds by attaching a lightweight Fine-grained Consistency LoRA and optimizing it using a single proxy image, which is used as both the conditioning image and the reconstruction target.

Peng Zheng, Rui-Qi Liu, Rui Ma et al. · 0 citations