AI RESEARCH
RL-RIG: A Generative Spatial Reasoner via Intrinsic Reflection
arXiv CS.CV
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ArXi:2602.19974v2 Announce Type: replace Recent advancements in image generation have achieved impressive results in producing high-quality images. However, existing image generation models still generally struggle with a spatial reasoning dilemma, lacking the ability to accurately capture fine-grained spatial relationships from the prompt and correctly generate scenes with structural integrity. To mitigate this dilemma, we propose RL-RIG, a Reinforcement Learning framework for Reflection-based Image Generation.