2 papers
cs.CV2024
ConStyle v2: A Strong Prompter for All-in-One Image Restoration
Dongqi Fan, Junhao Zhang, Liang Chang
This paper introduces ConStyle v2, a strong plug-and-play prompter designed to output clean visual prompts and assist U-Net Image Restoration models in handling multiple degradatio…
cs.CV2024
IRConStyle: Image Restoration Framework Using Contrastive Learning and Style Transfer
Dongqi Fan, Xin Zhao, Liang Chang
Recently, the contrastive learning paradigm has achieved remarkable success in high-level tasks such as classification, detection, and segmentation. However, contrastive learning a…