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07/28/2022
Meta-Learning based Degradation Representation for Blind Super-Resolution
The most of CNN based super-resolution (SR) methods assume that the degr...
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06/15/2022
Residual Sparsity Connection Learning for Efficient Video Super-Resolution
Lighter and faster models are crucial for the deployment of video super-...
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04/29/2022
SCS-Co: Self-Consistent Style Contrastive Learning for Image Harmonization
Image harmonization aims to achieve visual consistency in composite imag...
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01/12/2022
Coarse-to-Fine Embedded PatchMatch and Multi-Scale Dynamic Aggregation for Reference-based Super-Resolution
Reference-based super-resolution (RefSR) has made significant progress i...
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01/11/2022
Efficient Non-Local Contrastive Attention for Image Super-Resolution
Non-Local Attention (NLA) brings significant improvement for Single Imag...
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09/13/2020
