RGSUD achieves SOTA unsupervised deraining by using IQA-based reward recycling and self-reinforcement to constrain optimization and improve pseudo-paired data quality.
Autodir: Automatic all-in-one image restoration with latent diffusion
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UniSER is a unified diffusion transformer foundation model that removes diverse soft image degradations by training on a large curated dataset of semi-transparent occlusions with fine-grained controls.
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Unpaired Image Deraining Using Reward-Guided Self-Reinforcement Strategy
RGSUD achieves SOTA unsupervised deraining by using IQA-based reward recycling and self-reinforcement to constrain optimization and improve pseudo-paired data quality.
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UniSER: A Foundation Model for Unified Soft Effects Removal
UniSER is a unified diffusion transformer foundation model that removes diverse soft image degradations by training on a large curated dataset of semi-transparent occlusions with fine-grained controls.