13 citations · 41 across the 9 of their papers we have counts for
9 papers
Look-Around Before You Leap: High-Frequency Injected Transformer for Image Restoration
Shihao Zhou, Duosheng Chen, Jinshan Pan +1
Transformer-based approaches have achieved superior performance in image restoration, since they can model long-term dependencies well. However, the limitation in capturing local i…
Towards Unified Deep Image Deraining: A Survey and A New Benchmark
Xiang Chen, Jinshan Pan, Jiangxin Dong +1
Recent years have witnessed significant advances in image deraining due to the kinds of effective image priors and deep learning models. As each deraining approach has individual s…
Learning A Sparse Transformer Network for Effective Image Deraining
Xiang Chen, Hao Li, Mingqiang Li +1
Transformers-based methods have achieved significant performance in image deraining as they can model the non-local information which is vital for high-quality image reconstruction…
Open-World Pose Transfer via Sequential Test-Time Adaption
Junyang Chen, Xiaoyu Xian, Zhijing Yang +5
Pose transfer aims to transfer a given person into a specified posture, has recently attracted considerable attention. A typical pose transfer framework usually employs representat…
Spatially-Adaptive Feature Modulation for Efficient Image Super-Resolution
Long Sun, Jiangxin Dong, Jinhui Tang +1
Although numerous solutions have been proposed for image super-resolution, they are usually incompatible with low-power devices with many computational and memory constraints. In t…
Deep Dynamic Scene Deblurring from Optical Flow
Jiawei Zhang, Jinshan Pan, Daoye Wang +5
Deblurring can not only provide visually more pleasant pictures and make photography more convenient, but also can improve the performance of objection detection as well as trackin…