Unpaired Image Deraining Using Reward-Guided Self-Reinforcement Strategy

ArXi:2605.00719v1 Announce Type: new Unsupervised deraining has attracted attention for its ability to learn the real-world distribution of rain without paired supervision. However, the lack of strong constraints makes it difficult for the network to converge, especially with the complex diversity of rain degradation. A key motivation is that high-quality deraining results occasionally emerge during