Add New Paper

[caiyuanhao1998]

Thanks for your great contribution. Could you please add this work :

Title: Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement
Published in ICCV 2023
Name: Retinexformer
Arxiv: https://arxiv.org/abs/2303.06705
Code: https://github.com/caiyuanhao1998/Retinexformer

Thank you very much.

[caiyuanhao1998]

Could you please also add the following awasome Transformer works?

Binarized Spectral Compressive Imaging (NeurIPS 2023)
Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image Reconstruction (CVPR 2022)
Coarse-to-Fine Sparse Transformer for Hyperspectral Image Reconstruction (ECCV 2022)
Degradation-Aware Unfolding Half-Shuffle Transformer for Spectral Compressive Imaging (NeurIPS 2022)
MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction (NTIRE 2022 Challenge Winner)
HDNet: High-resolution Dual-domain Learning for Spectral Compressive Imaging (CVPR 2022)
Flow-Guided Sparse Transformer for Video Deblurring (ICML 2022)

the code and models are publicly available at:

https://github.com/caiyuanhao1998/MST

https://github.com/caiyuanhao1998/MST-plus-plus

https://github.com/linjing7/VR-Baseline

Thank you very much

[caiyuanhao1998]

感谢