7 papers · 1 filter
TSFormer: A Robust Framework for Efficient UHD Image Restoration
Xin Su, Chen Wu, Zhuoran Zheng
Ultra-high-definition (UHD) image restoration is vital for applications demanding exceptional visual fidelity, yet existing methods often face a trade-off between restoration quali…
Dropout the High-rate Downsampling: A Novel Design Paradigm for UHD Image Restoration
Chen Wu, Ling Wang, Long Peng +2
With the popularization of high-end mobile devices, Ultra-high-definition (UHD) images have become ubiquitous in our lives. The restoration of UHD images is a highly challenging pr…
MixNet: Efficient Global Modeling for Ultra-High-Definition Image Restoration
Chen Wu, Zhuoran Zheng, Yuning Cui +1
Recent advancements in image restoration methods employing global modeling have shown promising results. However, these approaches often incur substantial memory requirements, part…
Multi-Scale Representation Learning for Image Restoration with State-Space Model
Yuhong He, Long Peng, Qiaosi Yi +2
Image restoration endeavors to reconstruct a high-quality, detail-rich image from a degraded counterpart, which is a pivotal process in photography and various computer vision syst…
Review Learning: Advancing All-in-One Ultra-High-Definition Image Restoration Training Method
Xin Su, Zhuoran Zheng, Chen Wu
All-in-one image restoration tasks are becoming increasingly important, especially for ultra-high-definition (UHD) images. Existing all-in-one UHD image restoration methods usually…
Every Pixel Has its Moments: Ultra-High-Resolution Unpaired Image-to-Image Translation via Dense Normalization
Ming-Yang Ho, Che-Ming Wu, Min-Sheng Wu +1
Recent advancements in ultra-high-resolution unpaired image-to-image translation have aimed to mitigate the constraints imposed by limited GPU memory through patch-wise inference.…