62 citations · 284 across the 21 of their papers we have counts for
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cs.CV2023★ 6 cited
Synthesizing Realistic Image Restoration Training Pairs: A Diffusion Approach
Tao Yang, Peiran Ren, Xuansong xie +1
In supervised image restoration tasks, one key issue is how to obtain the aligned high-quality (HQ) and low-quality (LQ) training image pairs. Unfortunately, such HQ-LQ training pa…
cs.CV2023★ 1 cited
Uncertainty-Aware Source-Free Adaptive Image Super-Resolution with Wavelet Augmentation Transformer
Yuang Ai, Xiaoqiang Zhou, Huaibo Huang +2
Unsupervised Domain Adaptation (UDA) can effectively address domain gap issues in real-world image Super-Resolution (SR) by accessing both the source and target data. Considering p…
cs.CV2023★ 10 cited
Spatial-Frequency Attention for Image Denoising
Shi Guo, Hongwei Yong, Xindong Zhang +2
The recently developed transformer networks have achieved impressive performance in image denoising by exploiting the self-attention (SA) in images. However, the existing methods m…