Comi Chen — accepted AI-conference papers

2026

PromptEnhancer: Taming Your Rewriter for Text-to-Image Generation via Fine-Grained Reward

Linqing Wang, Zhiyong Xu, Ximing Xing, Yiji Cheng, Zhiyuan Zhao, Donghao Li +12

CVPR 2026

Recent text-to-image (T2I) diffusion models have achieved impressive progress in generating high-fidelity images, yet they often fail to faithfully follow complex user prompts, especially in attribute binding, negation, and compositional reasoning. To address this limitation, we propose PromptEnhanc

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2026

TAGRPO: Boosting GRPO on Image-to-Video Generation with Direct Trajectory Alignment

Jin Wang, Jianxiang Lu, Xu Guangzheng, Comi Chen, Haoyu Yang, LinqingWang +7

ICML 2026poster

Recent studies have demonstrated the efficacy of integrating Group Relative Policy Optimization (GRPO) into flow matching models, particularly for text-to-image and text-to-video generation. However, we find that directly applying these techniques to image-to-video (I2V) models often fails to yield …

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