1 citations · 1 across the 4 of their papers we have counts for
4 papers
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…
Exploring Semantic Feature Discrimination for Perceptual Image Super-Resolution and Opinion-Unaware No-Reference Image Quality Assessment
Guanglu Dong, Xiangyu Liao, Mingyang Li +2
Generative Adversarial Networks (GANs) have been widely applied to image super-resolution (SR) to enhance the perceptual quality. However, most existing GAN-based SR methods typica…
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…
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…