New papers and repositories

[DonaldTsang]

This thread should be reserved for requesting the addition of new papers and repos to be added in the repository, since we are entering the roaring 20s.

[danielkaifeng]

SinGAN could be added

[DonaldTsang]

Cross-referencing https://github.com/YapengTian/Single-Image-Super-Resolution/issues/7

[ChaofWang]

Thanks！I will update this

[DonaldTsang]

Also there are more

• https://github.com/open-mmlab/mmsr
• https://github.com/LoSealL/VideoSuperResolution
• https://github.com/flyywh/Video-Super-Resolution
• https://github.com/jlygit/AI-video-enhance

[ChaofWang]

Also there are more

• https://github.com/open-mmlab/mmsr
• https://github.com/LoSealL/VideoSuperResolution
• https://github.com/flyywh/Video-Super-Resolution
• https://github.com/jlygit/AI-video-enhance

I have added these repos, except for the last one

[DonaldTsang]

These are "repos of repos"

[YingqianWang]

LF-InterNet (ECCV2020) could be added. paper: https://arxiv.org/pdf/1912.07849.pdf code: https://github.com/YingqianWang/LF-InterNet

[guochengqian]

Thanks for the repo. Seems papers from NeurIPS 2020 are not included? like: https://arxiv.org/pdf/2006.16673.pdf https://arxiv.org/abs/2010.02631 https://papers.nips.cc/paper/2020/file/eaae339c4d89fc102edd9dbdb6a28915-Paper.pdf

[deepernewbie]

Hi CVPR / MAI 2021 Real-Time Single Image Super-Resolution Challenge Winner can be added

paper: https://arxiv.org/pdf/2105.10288.pdf

[deepernewbie]

Hi There is an unofficial pytorch implementation of XLSR paper (https://arxiv.org/pdf/2105.10288.pdf) here in: https://github.com/cxzhou95/XLSR

[ChaofWang]

Hi There is an unofficial pytorch implementation of XLSR paper (https://arxiv.org/pdf/2105.10288.pdf) here in: https://github.com/cxzhou95/XLSR

hi, I added it! thks

[YingqianWang]

Request to add our new work on light field image super-resolution: tittle: Disentangling Light Fields for Super-Resolution and Disparity Estimation, TPAMI 2022 pdf: https://arxiv.org/pdf/2202.10603.pdf code: https://github.com/YingqianWang/DistgSSR

[ChaofWang]

Request to add our new work on light field image super-resolution: tittle: Disentangling Light Fields for Super-Resolution and Disparity Estimation, TPAMI 2022 pdf: https://arxiv.org/pdf/2202.10603.pdf code: https://github.com/YingqianWang/DistgSSR

Updated, thks

[hyang0511]

Request to add our new work which has been accepted by CVPR 2022 as an oral paper: Learning Trajectory-Aware Transformer for Video Super-Resolution [Paper] https://arxiv.org/abs/2204.04216 [Code] https://github.com/researchmm/TTVSR

Thanks!

[ChaofWang]

Request to add our new work which has been accepted by CVPR 2022 as an oral paper: Learning Trajectory-Aware Transformer for Video Super-Resolution [Paper] https://arxiv.org/abs/2204.04216 [Code] https://github.com/researchmm/TTVSR

Thanks!

hi, I added it! thanks for your awesome work

[mattaq31]

Just writing a quick request to add our work "The Best of Both Worlds: A Framework for Combining Degradation Prediction with High Performance Super-Resolution Networks" which has just been published in MDPI Sensors:

Code: https://github.com/um-dsrg/RUMpy Paper: https://doi.org/10.3390/s23010419

Thanks!

[ChaofWang]

https://github.com/um-dsrg/RUMpy

hi, I added it. thks

[Brian-Moser]

Hi, a quick Request to add our work "Hitchhiker's Guide to Super-Resolution: Introduction and Recent Advances", which has been published by TPAMI. The goal of this work is to give an overview of the abundance of publications in image super-resolution, give an introduction for new researchers, and open thriving discussions as well as point to potential future directions to advance the field :)

Paper: https://ieeexplore.ieee.org/document/10041995

Thanks! :)

[yang-jin-hai]

Hi, the paper "Self-Asymmetric Invertible Network for Compression-Aware Image Rescaling" has released the code:

https://github.com/yang-jin-hai/SAIN

Please update, thanks! :)

[ChaofWang]

@Brian-Moser @yang-jin-hai sorry for the late reply. thks for your awesome works

[Z-YuPeng]

Hello, the paper "SRFormer: Permuted Self-Attention for Single Image Super-Resolution" accepted by ICCV2023 has released the code:

https://github.com/HVision-NKU/SRFormer

Could you update？ Thank you！

[ChaofWang]

@Z-YuPeng Done!

[Brian-Moser]

I kindly request to add our work "DWA: Differential Wavelet Amplifier for Image Super-Resolution" which has just been published in ICANN 2023: https://www.springerprofessional.de/dwa-differential-wavelet-amplifier-for-image-super-resolution/26073736

[ChaofWang]

I kindly request to add our work "DWA: Differential Wavelet Amplifier for Image Super-Resolution" which has just been published in ICANN 2023: https://www.springerprofessional.de/dwa-differential-wavelet-amplifier-for-image-super-resolution/26073736

DONE

[2019zhou]

I kindly request to add our new work "Equivalent Transformation and Dual Stream Network Construction for Mobile Image Super-Resolution" which has been accepted by CVPR 2023. Paper: https://openaccess.thecvf.com/content/CVPR2023/papers/Chao_Equivalent_Transformation_and_Dual_Stream_Network_Construction_for_Mobile_Image_CVPR_2023_paper.pdf Code: https://github.com/ECNUSR/ETDS

Also our work "A Novel Learnable Interpolation Approach for Scale-Arbitrary Image Super-Resolution" which has been accepted by IJCAI 2023. Paper: https://www.ijcai.org/proceedings/2023/63

[ChaofWang]

I kindly request to add our new work "Equivalent Transformation and Dual Stream Network Construction for Mobile Image Super-Resolution" which has been accepted by CVPR 2023. Paper: https://openaccess.thecvf.com/content/CVPR2023/papers/Chao_Equivalent_Transformation_and_Dual_Stream_Network_Construction_for_Mobile_Image_CVPR_2023_paper.pdf Code: https://github.com/ECNUSR/ETDS

Also our work "A Novel Learnable Interpolation Approach for Scale-Arbitrary Image Super-Resolution" which has been accepted by IJCAI 2023. Paper: https://www.ijcai.org/proceedings/2023/63

DONE

[2019zhou]

I kindly request to add our new work "Enhancing Real-Time Super Resolution with Partial Convolution and Efficient Variance Attention" which has been accepted by Multimedia 2023. Paper: https://dl.acm.org/doi/10.1145/3581783.3611729 Code: https://github.com/ECNUSR/PCEVA

[ChaofWang]

I kindly request to add our new work "Equivalent Transformation and Dual Stream Network Construction for Mobile Image Super-Resolution" which has been accepted by Multimedia 2023. Paper: https://dl.acm.org/doi/10.1145/3581783.3611729 Code: https://github.com/ECNUSR/PCEVA

DONE

[Brian-Moser]

Thank you for your work on this repo. It is really awesome. Could you please move our work "Hitchhiker's Guide to Super-Resolution: Introduction and Recent Advances" into the survey section too? Paper: https://ieeexplore.ieee.org/document/10041995

Thank you very much <3

[ChaofWang]

Thank you for your work on this repo. It is really awesome. Could you please move our work "Hitchhiker's Guide to Super-Resolution: Introduction and Recent Advances" into the survey section too? Paper: https://ieeexplore.ieee.org/document/10041995

Thank you very much <3

DONE

[LehengZhang]

I kindly request to add our new work "Transcending the Limit of Local Window: Advanced Super-Resolution Transformer with Adaptive Token Dictionary" which has been recently accepted to CVPR 2024. Code: https://github.com/LabShuHangGU/Adaptive-Token-Dictionary Thank you very much!

[ChaofWang]

I kindly request to add our new work "Transcending the Limit of Local Window: Advanced Super-Resolution Transformer with Adaptive Token Dictionary" which has been recently accepted to CVPR 2024. Code: https://github.com/LabShuHangGU/Adaptive-Token-Dictionary Thank you very much!

Thanks for your awesome work, the paper has been added

[Brian-Moser]

I kindly request to add our new work, "A Study in Dataset Pruning for Image Super-Resolution," which has been recently accepted to ICANN 2024.

arXiv: https://arxiv.org/abs/2403.17083

Thank you very much :)

[ChaofWang]

I kindly request to add our new work, "A Study in Dataset Pruning for Image Super-Resolution," which has been recently accepted to ICANN 2024.

arXiv: https://arxiv.org/abs/2403.17083

Thank you very much :)

Done