Zhixiang He — accepted AI-conference papers

2026

Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation

Baoteng Li, Xianghao Zang, Xinran Wang, Xiangyu Na, Zhixiang He, Hao Sun +5

CVPR 2026

Text-to-Image (T2I) generation has achieved remarkable progress in recent years. Meanwhile, reinforcement learning methods, particularly those based on Group Relative Policy Optimization (GRPO), have attracted widespread attention and been successfully applied to T2I tasks. However, the uniform samp

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2026

MTVCraft: Tokenizing 4D Motion for Arbitrary Character Animation

Yanbo Ding, Xirui Hu, Guo Zhi Zhi, Yan Zhang, Xinrui Wang, Zhixiang He +3

ICLR 2026poster

Character image animation has rapidly advanced with the rise of digital humans. However, existing methods rely largely on 2D-rendered pose images for motion guidance, which limits generalization and discards essential 4D information for open-world animation. To address this, we propose MTVCraft (Mot…

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