XPixel-Group / Super-Resolution-Collections
A collection of state-of-the-art single image super resolution methods.
☆13Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for Super-Resolution-Collections
- Path-Restore: Learning Network Path Selection for Image Restoration (IEEE TPAMI, 2021)☆41Updated 2 years ago
- [ICCV2021] IICNet: A Generic Framework for Reversible Image Conversion☆64Updated 2 years ago
- Source code for ECCV2020 "Fast Adaptation to Super-Resolution Networks via Meta-Learning"☆66Updated last year
- Super-Resolution by Predicting Offsets: An Ultra-Efficient Super-Resolution Network for Rasterized Images. ECCV 2022. [ Official ]☆20Updated 2 years ago
- Paper accepted by CVPR Workshop, NTIRE 2022☆26Updated 10 months ago
- (ECCV 2020) Interactive Multi-Dimension Modulation with Dynamic Controllable Residual Learning for Image Restoration☆95Updated 4 years ago
- [ Official ] - Toward Interactive Modulation for Photo-Realistic Image Restoration. CVPRW 2021 NTIRE.☆22Updated 2 years ago
- Official PyTorch implementation of the paper "Recycling Discriminator: Towards Opinion-Unaware Image Quality Assessment Using Wasserstein…☆25Updated 3 years ago
- ☆31Updated 3 months ago
- Transformer for low-level vision applications, such as image restoration (denosing, super resolution, deblur)☆53Updated 2 years ago
- ☆18Updated last year
- Official repository of KOALAnet (CVPR, 2021)☆37Updated 2 years ago
- Official code for ECCV2022 paper: Learning Series-Parallel Lookup Tables for Efficient Image Super-Resolution☆51Updated last year
- [NeurIPS'21 Spotlight] Aligned Structured Sparsity Learning for Efficient Image Super-Resolution (PyTorch)☆59Updated 2 years ago
- Video Rescaling Networks with Joint Optimization Strategies for Downscaling and Upscaling (CVPR 2021)☆44Updated 3 years ago
- The official codes of our CVPR2022 paper: A Differentiable Two-stage Alignment Scheme for Burst Image Reconstruction with Large Shift☆44Updated last year
- ☆30Updated 5 months ago
- Neural Sparse Representation for Image Restoration☆32Updated 4 years ago
- Official implementation of the paper DeFlow: Learning Complex Image Degradations from Unpaired Data with Conditional Flows☆93Updated 2 years ago
- Learning Cascaded Convolutional Networks for Blind Single Image Super-Resolution☆20Updated 4 years ago
- ☆16Updated 4 years ago
- SamplingAug: On the Importance of Patch Sampling Augmentation for Single Image Super-Resolution (BMVC2021)☆38Updated 2 years ago
- This is the official code for our ACCV2020 work 'Degradation Model Learning for Real-World SISR'☆9Updated 3 years ago
- Deep Adaptive Inference Networks for Single Image Super-Resolution☆99Updated 4 years ago
- Transfer Learning from Synthetic to Real-Noise Denoising with Adaptive Instance Normalization (CVPR 2020)☆79Updated 4 years ago
- ☆51Updated last year
- ☆30Updated 3 years ago
- Official PyTorch implementation of WSR (Towards Lighter and Faster: Learning Wavelets Progressively for Image Super-Resolution) accepted …☆30Updated 3 years ago
- ☆60Updated 3 years ago
- (CVPR2022) Reflash Dropout in Image Super-Resolution☆80Updated 3 months ago