dvlab-research / MASA-SR
MASA-SR: Matching Acceleration and Spatial Adaptation for Reference-Based Image Super-Resolution (CVPR2021)
☆161Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for MASA-SR
- Official PyTorch code for Flow-based Kernel Prior with Application to Blind Super-Resolution (FKP, CVPR2021)☆148Updated 3 years ago
- This is an offical implementation of the CVPR2022's paper [Learning the Degradation Distribution for Blind Image Super-Resolution](https:…☆165Updated 2 years ago
- On Efficient Transformer-Based Image Pre-training for Low-Level Vision☆130Updated 2 years ago
- Official PyTorch code for Mutual Affine Network for Spatially Variant Kernel Estimation in Blind Image Super-Resolution (MANet, ICCV2021)☆169Updated 3 years ago
- ☆190Updated 4 years ago
- Code for C2-Matching (CVPR2021). Paper: Robust Reference-based Super-Resolution via C2-Matching.☆199Updated 8 months ago
- Revisiting RCAN: Improved Training for Image Super-Resolution☆91Updated 2 years ago
- ☆81Updated 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
- PyTorch code for our paper "Image Super-Resolution with Non-Local Sparse Attention" (CVPR2021).☆175Updated 2 years ago
- Training and Testing codes for our paper "Real-world Image Super-resolution via Domain-distance Aware Training"☆236Updated 3 years ago
- Pytorch code for "EBSR: Feature Enhanced Burst Super-Resolution with Deformable Alignment", CVPRW 2021, 1st NTIRE (real data track).☆94Updated 2 years ago
- code for paper "Video Super-resolution with Temporal Group Attention"☆126Updated 3 years ago
- PyTorch implementation of "Reference-based Image Super-Resolution with Deformable Attention Transformer (ECCV2022)"☆138Updated 7 months ago
- Official implementation of the paper 'Details or Artifacts: A Locally Discriminative Learning Approach to Realistic Image Super-Resolutio…☆268Updated 2 years ago
- Unofficial pytorch implementation of the paper "Unsupervised Real-World Super-Resolution: A Domain Adaptation Perspective"☆26Updated 3 years ago
- Official implementation of the paper 'Efficient and Degradation-Adaptive Network for Real-World Image Super-Resolution' in ECCV 2022☆135Updated 2 years ago
- Residual Feature Aggregation Network for Image Super-Resolution☆102Updated 4 years ago
- PyTorch code for our ECCV 2020 paper "Single Image Super-Resolution via a Holistic Attention Network"☆170Updated 2 years ago
- This project is official implementation of 'Efficient Non-Local Contrastive Attention for Image Super-Resolution', AAAI2022☆87Updated last year
- Unpaired Learning of Deep Image Denoising☆134Updated 4 years ago
- A Collection of Papers and Codes in ECCV2022 about low level vision☆166Updated last year
- Residual Feature Distillation Network for Lightweight Image Super-Resolution☆361Updated 9 months ago
- ☆76Updated 3 years ago
- Test-time Local Converter☆231Updated last year
- Transfer Learning from Synthetic to Real-Noise Denoising with Adaptive Instance Normalization (CVPR 2020)☆79Updated 4 years ago
- Include MuCAN, LAPAR, etc.☆225Updated 2 years ago
- This is an official implementation of Unfolding the Alternating Optimization for Blind Super Resolution☆232Updated 8 months ago
- This is an implementation for the CVPR2020 paper "Learning Invariant Representation for Unsupervised Image Restoration"☆100Updated 4 years ago
- models and code for "Efficient Image Super Resolution using Vast Receptive Field Attention"☆73Updated 2 years ago