4 citations · 4 across the 2 of their papers we have counts for
2 papers
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…
cs.CV2023
Random Sub-Samples Generation for Self-Supervised Real Image Denoising
Yizhong Pan, Xiao Liu, Xiangyu Liao +2
With sufficient paired training samples, the supervised deep learning methods have attracted much attention in image denoising because of their superior performance. However, it is…