AIBullisharXiv – CS AI · 15h ago7/10
🧠
Diff-Instruct with Diffused Reward: Towards Principled One-step Generator RL
Researchers introduce DIDR (Diff-Instruct with Diffused Reward), a reinforcement learning framework that improves one-step text-to-image generation by aligning reward optimization with diffusion dynamics. The method addresses a fundamental mismatch in existing approaches where optimizing for image-space rewards often degrades overall image fidelity, demonstrating superior results compared to current SDXL baselines.