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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…
cs.CV2025
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…
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…