Author

Haobo Yuan

Wuhan University

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#artificial intelligence Review Oct 2026

Getting Space Right: Agentic Rewards for Image Generation

Reinforcement learning (RL) is promising for spatial text-to-image generation, but existing work largely focuses on policy optimization, assuming accurate rewards and effective online rollouts. We observe in-domain gains with out-of-domain degradation, exposing two limitations: unreliable spatial rewards in open-world...

Xiaofeng Tan, Jia-Xin Lin, Haobo Yuan et al. · 0 citations

Preprint Aug 2026

Task-State Adaptation with Prototype Memory for Multi-Task Dense Prediction

MemMTL, a multi-task dense prediction framework that estimates a compact task state from global visual context and refines it through a learnable task-state prototype memory, is proposed.

Yang-Yang Xu, Haobo Yuan, Yu-Zhu Wang et al. · 0 citations