4 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.CV2025
Degradation-Aware Feature Perturbation for All-in-One Image Restoration
Xiangpeng Tian, Xiangyu Liao, Xiao Liu +2
All-in-one image restoration aims to recover clear images from various degradation types and levels with a unified model. Nonetheless, the significant variations among degradation…
eess.IV2024★ 1 cited
Asymmetric Mask Scheme for Self-Supervised Real Image Denoising
Xiangyu Liao, Tianheng Zheng, Jiayu Zhong +2
In recent years, self-supervised denoising methods have gained significant success and become critically important in the field of image restoration. Among them, the blind spot net…
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…