[CVPR 2021] Unsupervised Degradation Representation Learning for Blind Super-Resolution
☆416Jun 17, 2022Updated 3 years ago
Alternatives and similar repositories for DASR
Users that are interested in DASR are comparing it to the libraries listed below
Sorting:
- Training and Testing codes for our paper "Real-world Image Super-resolution via Domain-distance Aware Training"☆241Oct 12, 2021Updated 4 years ago
- [CVPR 2021] Exploring Sparsity in Image Super-Resolution for Efficient Inference☆239Oct 18, 2021Updated 4 years ago
- This is an official implementation of Unfolding the Alternating Optimization for Blind Super Resolution☆232Mar 13, 2024Updated last year
- Official PyTorch code for Flow-based Kernel Prior with Application to Blind Super-Resolution (FKP, CVPR2021)☆149Sep 19, 2021Updated 4 years ago
- [NeurIPS 2020] Cross-Scale Internal Graph Neural Network for Image Super-Resolution☆313Feb 23, 2021Updated 5 years ago
- Residual Feature Distillation Network for Lightweight Image Super-Resolution☆390Feb 17, 2024Updated 2 years ago
- PyTorch code for our paper "Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining" (CVPR2020)…☆407Mar 4, 2021Updated 4 years ago
- [ICCV 2021] Learning A Single Network for Scale-Arbitrary Super-Resolution☆317Jun 29, 2022Updated 3 years ago
- [ICCVW 2019] PyTorch implementation of DSGAN and ESRGAN-FS from the paper "Frequency Separation for Real-World Super-Resolution". This co…☆165May 30, 2020Updated 5 years ago
- Implementation of 'Blind Super-Resolution With Iterative Kernel Correction' (CVPR2019)☆226Dec 21, 2019Updated 6 years ago
- Official implementation of the paper 'Details or Artifacts: A Locally Discriminative Learning Approach to Realistic Image Super-Resolutio…☆280Apr 11, 2022Updated 3 years ago
- (CVPR2022) Reflash Dropout in Image Super-Resolution☆82Jul 25, 2024Updated last year
- Official PyTorch code for Mutual Affine Network for Spatially Variant Kernel Estimation in Blind Image Super-Resolution (MANet, ICCV2021)☆175Sep 19, 2021Updated 4 years ago
- Deep Adaptive Inference Networks for Single Image Super-Resolution☆99Aug 26, 2020Updated 5 years ago
- ☆356Mar 2, 2022Updated 4 years ago
- Towards Compact Single Image Super-Resolution via Contrastive Self-distillation, IJCAI21☆77Jan 4, 2022Updated 4 years ago
- Meta-Transfer Learning for Zero-Shot Super-Resolution (CVPR, 2020)☆277Sep 21, 2020Updated 5 years ago
- This is an offical implementation of the CVPR2022's paper [Learning the Degradation Distribution for Blind Image Super-Resolution](https:…☆172Mar 25, 2022Updated 3 years ago
- Designing a Practical Degradation Model for Deep Blind Image Super-Resolution (ICCV, 2021) (PyTorch) - We released the training code!☆1,353Apr 12, 2024Updated last year
- Rethinking Data Augmentation for Image Super-resolution (CVPR 2020)☆388Jul 25, 2024Updated last year
- (ECCV2020 Workshops) Efficient Image Super-Resolution Using Pixel Attention.☆325Mar 20, 2025Updated 11 months ago
- [CVPR'20] TTSR: Learning Texture Transformer Network for Image Super-Resolution☆791Jul 24, 2022Updated 3 years ago
- Pytorch implementation of Structure-Preserving Super Resolution with Gradient Guidance (CVPR 2020 & TPAMI 2021)☆453Oct 12, 2021Updated 4 years ago
- Toward Real-World Single Image Super-Resolution: A New Benchmark and A New Model (ICCV 2019)☆475Oct 27, 2020Updated 5 years ago
- Official implementation of the paper 'Efficient and Degradation-Adaptive Network for Real-World Image Super-Resolution' in ECCV 2022☆150Jul 20, 2022Updated 3 years ago
- ☆204Aug 30, 2020Updated 5 years ago
- Official PyTorch implementation of the paper "Deep Constrained Least Squares for Blind Image Super-Resolution", CVPR 2022.☆238May 13, 2023Updated 2 years ago
- (ECCV 2020) Stochastic Frequency Masking to Improve Super-Resolution and Denoising Networks☆151Jan 4, 2022Updated 4 years ago
- Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution☆441Jan 21, 2024Updated 2 years ago
- Deep Unfolding Network for Image Super-Resolution (CVPR, 2020) (PyTorch)☆906Sep 3, 2025Updated 6 months ago
- Official repository of KOALAnet (CVPR, 2021)☆38Jun 29, 2022Updated 3 years ago
- Blind Image Super-resolution with Elaborate Degradation Modeling on Noise and Kernel (CVPR, 2022) (Pytorch)☆96Oct 24, 2022Updated 3 years ago
- [ECCV 2020] Learning Enriched Features for Real Image Restoration and Enhancement. SOTA results for image denoising, super-resolution, an…☆712Apr 18, 2024Updated last year
- An official implementation of "Learning with Privileged Information for Efficient Image Super-Resolution" (ECCV2020) in PyTorch.☆249Sep 25, 2020Updated 5 years ago
- PyTorch implementation of VSR-Transformer☆264Aug 14, 2021Updated 4 years ago
- (CVPR2021) ClassSR: A General Framework to Accelerate Super-Resolution Networks by Data Characteristic☆374Mar 23, 2025Updated 11 months ago
- A Simple framework for image restoration, it includes ECBSR, ELAN and other SOTAs.☆50Nov 13, 2022Updated 3 years ago
- Lightweight Image Super-Resolution with Information Multi-distillation Network (ACM MM 2019, Winner Award of ICCVW AIM 2019 Constrained S…☆455Dec 17, 2023Updated 2 years ago
- (ECCV 2020) Interactive Multi-Dimension Modulation with Dynamic Controllable Residual Learning for Image Restoration☆96Sep 28, 2020Updated 5 years ago