15 citations · 18 across the 20 of their papers we have counts for
9 papers · 2 filters
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…
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.…
Towards Ultra-High-Definition Image Deraining: A Benchmark and An Efficient Method
Hongming Chen, Xiang Chen, Chen Wu +3
Despite significant progress has been made in image deraining, existing approaches are mostly carried out on low-resolution images. The effectiveness of these methods on high-resol…
U-shaped Vision Mamba for Single Image Dehazing
Zhuoran Zheng, Chen Wu
Currently, Transformer is the most popular architecture for image dehazing, but due to its large computational complexity, its ability to handle long-range dependency is limited on…
Polyp-DAM: Polyp segmentation via depth anything model
Zhuoran Zheng, Chen Wu, Wei Wang +2
Recently, large models (Segment Anything model) came on the scene to provide a new baseline for polyp segmentation tasks. This demonstrates that large models with a sufficient imag…
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…