Getting Space Right: Agentic Rewards for Image Generation

Xiaofeng Tan, Jiaxin Lin, Haobo Yuan +5

Reinforcement learning (RL) is promising for spatial text-to-image generation, but existing work largely focuses on policy optimization, assuming accurate rewards and effective onl…