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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)
"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
CVPR NTIRE 2023 Challenge on Real-Time Super-Resolution
This is the official testing code of the baseline method presented at the CVPR 2023 NTIRE Real-Time 4K Super-Resolution Challenge. We provide model and pre-trained checkpoints.
PyTorch Implementation of "Densely Connected Hierarchical Network for Image Denoising", CVPRW, NTIRE2019
Official PyTorch implementation of DW-GAN, 1st place solution of NTIRE 2021 NonHomogeneous Dehazing Challenge (CVPR Workshop 2021).
Pytorch implementation of "Multi-scale Single Image Dehazing using Perceptual Pyramid Deep Network"
NTIRE 2021, Image Quality Assessment Challenge (MACS team)
The 1st place solution to CVPR 2021 NTIRE Depth Guided Image One-to-One Relighting MBNet
Efficient Space-time Super Resolution using Flow and Mask Upsampling
The 1st place solution to CVPR2021 NTIRE Depth Guided Relighting Challenge Track 2: Any-to-any relighting
Test code for NTIRE 2019. Two tracks here: RSR and DN(sRGB)
Prepare training data for NTIRE SR Challenge
📈 Scale your app with Ntire architecture of .NET with Entity Framework