Popular GitHub Repositories for Ntire

A collection of state-of-the-art video or single-image super-resolution architectures, reimplemented in tensorflow.

"Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement" (ICCV 2023) & (NTIRE 2024 Challenge)

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.

Torch implementation of "Enhanced Deep Residual Networks for Single Image Super-Resolution"

[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

AI Image Signal Processing and Computational Photography. Official library for NTIRE (CVPR) and AIM (ICCV/ECCV) Challenges. You will find Learned ISPs, RAW Restoration-Upsampling-Reconstruction, Image Enhancement, Bokeh rendering and more!

Pytorch code for "BSRT: Improving Burst Super-Resolution with Swin Transformer and Flow-Guided Deformable Alignment", CVPRW, 1st place in NTIRE 2022 BurstSR Challenge (real-world track).

Code for Dual Contrastive Learning for Unsupervised Image-to-Image Translation, NTIRE, CVPRW 2021, oral.

Winner of runtime track in NTIRE 2022 challenge on Efficient Super-Resolution

[CVPR 2018 NTIRE Workshop] Cycle-Dehaze: Enhanced CycleGAN for Single Image Dehazing

LIDIA: Lightweight Learned Image Denoising with Instance Adaptation (NTIRE, 2020)

This is the official PyTorch implementation of ShadowRefiner. Our method is winner of Perceptual Track and achieves the second-best performance for Fidelity Track in NTIRE 2024 Shadow Removal Challenge (CVPR 2024 Workshop)

The 1st place solution to CVPR 2021 NTIRE Depth Guided Image One-to-One Relighting MBNet

This repository includes code of training/testing of our work published in NTIRE-2020 workshop titled "Unsupervised Single Image Super-Resolution Network (USISResNet) for Real-World Data Using Generative Adversarial Network".

The 1st place solution to CVPR2021 NTIRE Depth Guided Relighting Challenge Track 2: Any-to-any relighting