SHI-Labs / Cross-Scale-Non-Local-Attention
PyTorch code for our paper "Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining" (CVPR2020).
☆402Updated 3 years ago
Alternatives and similar repositories for Cross-Scale-Non-Local-Attention:
Users that are interested in Cross-Scale-Non-Local-Attention are comparing it to the libraries listed below
- [IJCV] Pyramid Attention Networks for Image Restoration: new SOTA results on multiple image restoration tasks: denoising, demosaicing, co…☆395Updated 4 years ago
- Implementation of 'Blind Super-Resolution With Iterative Kernel Correction' (CVPR2019)☆219Updated 5 years ago
- PyTorch code for our ECCV 2020 paper "Single Image Super-Resolution via a Holistic Attention Network"☆177Updated 2 years ago
- (ECCV2020 Workshops) Efficient Image Super-Resolution Using Pixel Attention.☆321Updated 3 years ago
- ☆345Updated 2 years ago
- Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution☆440Updated last year
- Second-order Attention Network for Single Image Super-resolution (CVPR-2019)☆561Updated 4 years ago
- Residual Feature Distillation Network for Lightweight Image Super-Resolution☆363Updated 11 months ago
- PyTorch code for our ICLR 2019 paper "Residual Non-local Attention Networks for Image Restoration"☆341Updated 5 years ago
- Training and Testing codes for our paper "Real-world Image Super-resolution via Domain-distance Aware Training"☆237Updated 3 years ago
- Lightweight Image Super-Resolution with Information Multi-distillation Network (ACM MM 2019, Winner Award of ICCVW AIM 2019 Constrained S…☆432Updated last year
- Pytorch implementation of Structure-Preserving Super Resolution with Gradient Guidance (CVPR 2020 & TPAMI 2021)☆451Updated 3 years ago
- Rethinking Data Augmentation for Image Super-resolution (CVPR 2020)☆385Updated 6 months ago
- Meta-Transfer Learning for Zero-Shot Super-Resolution (CVPR, 2020)☆270Updated 4 years ago
- Densely Residual Laplacian Super-resolution, IEEE Pattern Analysis and Machine Intelligence (TPAMI), 2020☆184Updated 4 years ago
- [NeurIPS 2020] Cross-Scale Internal Graph Neural Network for Image Super-Resolution☆312Updated 3 years ago
- [ICCVW 2019] PyTorch implementation of DSGAN and ESRGAN-FS from the paper "Frequency Separation for Real-World Super-Resolution". This co…☆163Updated 4 years ago
- ICCV 2019 (oral) RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution. PyTorch implementation☆270Updated 5 years ago
- [CVPR 2021] Exploring Sparsity in Image Super-Resolution for Efficient Inference☆238Updated 3 years ago
- ☆193Updated 4 years ago
- Residual Feature Aggregation Network for Image Super-Resolution☆103Updated 4 years ago
- [CVPR 2021] Unsupervised Degradation Representation Learning for Blind Super-Resolution☆402Updated 2 years ago
- Include MuCAN, LAPAR, etc.☆228Updated 2 years ago
- [Unofficial implementation] Toward Real-World Single Image Super-Resolution: A New Benchmark and A New Model (ICCV 2019)☆82Updated 3 years ago
- code for paper "Video Super-resolution with Temporal Group Attention"☆126Updated 3 years ago
- This is an official implementation of Unfolding the Alternating Optimization for Blind Super Resolution☆232Updated 10 months ago
- TDAN: Temporally-Deformable Alignment Network for Video Super-Resolution, CVPR 2020☆400Updated 2 years ago
- PyTorch code for our paper "Lightweight Image Super-Resolution with Adaptive Weighted Learning Network"☆158Updated 5 years ago
- Official Implementation of Space-Time-Aware Multi-Resolution Video Enhancement (CVPR2020) using PyTorch☆183Updated 4 years ago
- Unofficial Implementation of "Unsupervised Image Super-Resolution using Cycle-in-Cycle Generative Adversarial Networks" in CVPR 2018.☆143Updated 5 years ago