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20212024
most citedSpatially-Adaptive Feature Modulation for Efficient Image Super-Resolution

13 citations · 41 across the 9 of their papers we have counts for

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9 papers

cs.CV20241 cited

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…

cs.CV20238 cited

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…

cs.CV202312 cited

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…

cs.CV20233 cited

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…

cs.CV202313 cited

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…

cs.CV20231 cited

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…