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eess.IV2023★ 4 cited
Unsupervised Image Denoising in Real-World Scenarios via Self-Collaboration Parallel Generative Adversarial Branches
Xin Lin, Chao Ren, Xiao Liu +2
Deep learning methods have shown remarkable performance in image denoising, particularly when trained on large-scale paired datasets. However, acquiring such paired datasets for re…
eess.IV2023★ 4 cited
Dual Degradation Representation for Joint Deraining and Low-Light Enhancement in the Dark
Xin Lin, Jingtong Yue, Sixian Ding +3
Rain in the dark poses a significant challenge to deploying real-world applications such as autonomous driving, surveillance systems, and night photography. Existing low-light enha…