The 1st place solution to CVPR2021 NTIRE Depth Guided Relighting Challenge Track 2: Any-to-any relighting
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Updated
Aug 14, 2021 - Python
The 1st place solution to CVPR2021 NTIRE Depth Guided Relighting Challenge Track 2: Any-to-any relighting
Series solutions for Faster SR (NTIRE/ACCV 2024)
Efficient Space-time Super Resolution using Flow and Mask Upsampling
The 1st place solution to CVPR 2021 NTIRE Depth Guided Image One-to-One Relighting MBNet
Official PyTorch implementation of dehazing method based on FFC and ConvNeXt, 1st place solution of NTIRE 2023 HR NonHomogeneous Dehazing Challenge (CVPR Workshop 2023).
NTIRE 2021, Image Quality Assessment Challenge (MACS team)
Pytorch implementation of "Multi-scale Single Image Dehazing using Perceptual Pyramid Deep Network"
PyTorch Implementation of "Densely Connected Hierarchical Network for Image Denoising", CVPRW, NTIRE2019
Solution for NTIRE2018 Image Dehazing Challenge & ACCV2018 Kangfu Mei et al.
"MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction" (CVPRW 2022) & (Winner of NTIRE 2022 Spectral Recovery Challenge) and a toolbox for spectral reconstruction
[ECCV] Swin2SR: SwinV2 Transformer for Compressed Image Super-Resolution and Restoration. Advances in Image Manipulation (AIM) workshop ECCV 2022. Try it out! over 3.3M runs https://replicate.com/mv-lab/swin2sr
A toolbox for spectral compressive imaging reconstruction including MST (CVPR 2022), CST (ECCV 2022), DAUHST (NeurIPS 2022), BiSCI (NeurIPS 2023), HDNet (CVPR 2022), MST++ (CVPRW 2022), etc.
"Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement" (ICCV 2023) & (NTIRE 2024 Challenge)
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