SRRL trains diffusion models to reason about images by repeatedly denoising, evaluating, and re-noising their own samples across several reflective rounds.
Zigzag diffusion sampling: Diffusion models can self-improve via self-reflection
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Self-Reflective Reinforcement Learning for Diffusion-based Image Reasoning Generation
SRRL trains diffusion models to reason about images by repeatedly denoising, evaluating, and re-noising their own samples across several reflective rounds.