Xiangzuo Wu — accepted AI-conference papers

2026

MVInverse: Feed-forward Multiview Inverse Rendering in Seconds

Xiangzuo Wu, Chengwei Ren, Jun Zhou, Xiu Li, Yuan Liu

CVPR 2026

Multi-view inverse rendering aims to recover geometry, materials, and illumination consistently across multiple viewpoints. Existing single-view approaches often ignore cross-view relationships, leading to inconsistent results, while multi-view optimization methods rely on slow differentiable render

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2025

AToM: Aligning Text-to-Motion Model at Event-Level with GPT-4Vision Reward

Haonan Han, Xiangzuo Wu, Huan Liao, Zunnan Xu, Zhongyuan Hu, Ronghui Li +2

CVPR 2025poster

Recently, text-to-motion models open new possibilities for creating realistic human motion with greater efficiency and flexibility. However, aligning motion generation with event-level textual descriptions presents unique challenges due to the complex, nuanced relationship between textual prompts an…

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