sczhou / IGNNLinks
[NeurIPS 2020] Cross-Scale Internal Graph Neural Network for Image Super-Resolution
☆312Updated 4 years ago
Alternatives and similar repositories for IGNN
Users that are interested in IGNN are comparing it to the libraries listed below
Sorting:
- PyTorch code for our paper "Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining" (CVPR2020)…☆407Updated 4 years ago
- This is an official implementation of Unfolding the Alternating Optimization for Blind Super Resolution☆233Updated last year
- [IJCV] Pyramid Attention Networks for Image Restoration: new SOTA results on multiple image restoration tasks: denoising, demosaicing, co…☆403Updated 5 years ago
- Implementation of 'Blind Super-Resolution With Iterative Kernel Correction' (CVPR2019)☆220Updated 5 years ago
- [ICCVW 2019] PyTorch implementation of DSGAN and ESRGAN-FS from the paper "Frequency Separation for Real-World Super-Resolution". This co…☆166Updated 5 years ago
- [CVPR 2021] Exploring Sparsity in Image Super-Resolution for Efficient Inference☆239Updated 3 years ago
- Training and Testing codes for our paper "Real-world Image Super-resolution via Domain-distance Aware Training"☆239Updated 3 years ago
- (ECCV2020 Workshops) Efficient Image Super-Resolution Using Pixel Attention.☆323Updated 5 months ago
- ☆350Updated 3 years ago
- Include MuCAN, LAPAR, etc.☆230Updated 3 years ago
- PyTorch code for our ECCV 2020 paper "Single Image Super-Resolution via a Holistic Attention Network"☆179Updated 3 years ago
- Residual Feature Aggregation Network for Image Super-Resolution☆104Updated 4 years ago
- [ICCV 2021] Learning A Single Network for Scale-Arbitrary Super-Resolution☆314Updated 3 years ago
- Official PyTorch code for Flow-based Kernel Prior with Application to Blind Super-Resolution (FKP, CVPR2021)☆148Updated 3 years ago
- [CVPR 2021] Unsupervised Degradation Representation Learning for Blind Super-Resolution☆411Updated 3 years ago
- Pytorch implementation of Structure-Preserving Super Resolution with Gradient Guidance (CVPR 2020 & TPAMI 2021)☆450Updated 3 years ago
- Meta-Transfer Learning for Zero-Shot Super-Resolution (CVPR, 2020)☆274Updated 4 years ago
- [Unofficial implementation] Toward Real-World Single Image Super-Resolution: A New Benchmark and A New Model (ICCV 2019)☆83Updated 4 years ago
- CVPR2019 (oral) Modulating Image Restoration with Continual Levels via Adaptive Feature Modification Layers (AdaFM). PyTorch implementati…☆185Updated 6 years ago
- Variational Denoising Network: Toward Blind Noise Modeling and Removal (NeurIPS, 2019) (Pytorch)☆218Updated 4 years ago
- code for paper "Video Super-resolution with Temporal Group Attention"☆126Updated 4 years ago
- Official PyTorch code for Mutual Affine Network for Spatially Variant Kernel Estimation in Blind Image Super-Resolution (MANet, ICCV2021)☆171Updated 3 years ago
- PyTorch code for our paper "Image Super-Resolution with Non-Local Sparse Attention" (CVPR2021).☆179Updated 3 years ago
- Dual Adversarial Network: Toward Real-world Noise Removal and Noise Generation (ECCV 2020) (Pytorch)☆183Updated 4 years ago
- A PyTorch implementation of SRNTT, which is a novel RefSR method.☆111Updated 2 years ago
- PyTorch code for our ICLR 2019 paper "Residual Non-local Attention Networks for Image Restoration"☆342Updated 5 years ago
- Implementation of "Unsupervised Domain-Specific Deblurring via Disentangled Representations"☆113Updated 6 years ago
- MASA-SR: Matching Acceleration and Spatial Adaptation for Reference-Based Image Super-Resolution (CVPR2021)☆166Updated 3 years ago
- Pytorch Implementation of CVPR19 "Deep Stacked Multi-patch Hierarchical Network for Image Deblurring"☆196Updated 2 years ago
- A PyTorch implementation of widely-used bicubic interpolation, which is fully compatible with MATLAB.☆141Updated 4 years ago