Enhancing Diffusion-based Restoration Models via Difficulty-Adaptive Reinforcement Learning with IQA Reward
Abstract
We propose a difficulty-adaptive reinforcement learning framework for diffusion-based restoration with IQA-driven reward shaping.
Type
Publication
Under review
Under review.
Figure: Difficulty-adaptive RL with IQA reward pipeline.
