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Artifact-Free Rain Generation Framework by KhiêmNguyễn is a document available to read on EtoBox.
The paper presents TPSeNCE, an unpaired image-to-image translation framework aimed at generating realistic rainy images to enhance deraining and object detection. It introduces a Triangular Probability Similarity (TPS) constraint to minimize artifacts during rain generation and a Semantic Noise Contrastive Estimation (SeNCE) strategy to optimize the amount of generated rain. Experiments demonstrate the method
- Author
- KhiêmNguyễn
- Language
- EN