Official Implementation for Kernel Modeling Super-Resolution on Real Low-Resolution Images
☆94Oct 25, 2019Updated 6 years ago
Alternatives and similar repositories for Kernel-Modeling-Super-Resolution
Users that are interested in Kernel-Modeling-Super-Resolution are comparing it to the libraries listed below
Sorting:
- ☆357Mar 2, 2022Updated 4 years ago
- Learning Cascaded Convolutional Networks for Blind Single Image Super-Resolution☆21Jul 15, 2020Updated 5 years ago
- Toward Real-World Single Image Super-Resolution: A New Benchmark and A New Model (ICCV 2019)☆476Oct 27, 2020Updated 5 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
- Downscale a set of images by randomly created kernels and save them☆79Jun 2, 2021Updated 4 years ago
- ☆205Aug 30, 2020Updated 5 years ago
- Natural and Realistic Single Image Super-Resolution with Explicit Natural Manifold Discrimination (CVPR, 2019)☆116May 13, 2020Updated 5 years ago
- Independent implementation of the algorithm from the paper "Blind Image Super-Resolution with Spatially Variant Degradations"☆60Feb 28, 2020Updated 6 years ago
- Camera Lens Super-Resolution in CVPR 2019☆172Jun 12, 2019Updated 6 years ago
- ICCV 2019 (oral) RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution. PyTorch implementation☆276Oct 19, 2019Updated 6 years ago
- ☆76Apr 29, 2021Updated 4 years ago
- Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels (CVPR, 2019) (PyTorch)☆844Sep 3, 2020Updated 5 years ago
- PyTorch code for our paper "Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining" (CVPR2020)…☆406Mar 4, 2021Updated 5 years ago
- "Zero-Shot" Super-Resolution using Deep Internal Learning☆420Dec 22, 2019Updated 6 years ago
- Unofficial Implementation of "Unsupervised Image Super-Resolution using Cycle-in-Cycle Generative Adversarial Networks" in CVPR 2018.☆146Apr 9, 2019Updated 6 years ago
- Official repository of KOALAnet (CVPR, 2021)☆38Jun 29, 2022Updated 3 years ago
- Real-World Super-Resolution via Kernel Estimation and Noise Injection☆816Sep 2, 2020Updated 5 years ago
- CVPR2019 (oral) Modulating Image Restoration with Continual Levels via Adaptive Feature Modification Layers (AdaFM). PyTorch implementati…☆186Aug 5, 2019Updated 6 years ago
- Pytorch code for our paper "Feedback Network for Image Super-Resolution" (CVPR2019)☆552Dec 17, 2019Updated 6 years ago
- An official implementation of "Learning with Privileged Information for Efficient Image Super-Resolution" (ECCV2020) in PyTorch.☆249Sep 25, 2020Updated 5 years ago
- Meta-Transfer Learning for Zero-Shot Super-Resolution (CVPR, 2020)☆277Sep 21, 2020Updated 5 years ago
- Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution☆441Jan 21, 2024Updated 2 years ago
- My solution for NTIRE2019 real super-resolution☆48Jun 17, 2019Updated 6 years ago
- Deep Unfolding Network for Image Super-Resolution (CVPR, 2020) (PyTorch)☆907Sep 3, 2025Updated 6 months ago
- (ECCV 2020) Interactive Multi-Dimension Modulation with Dynamic Controllable Residual Learning for Image Restoration☆96Sep 28, 2020Updated 5 years ago
- This is an official implementation of Unfolding the Alternating Optimization for Blind Super Resolution☆232Mar 13, 2024Updated 2 years ago
- Image Restoration Toolkit in PyTorch☆37Jul 14, 2020Updated 5 years ago
- [CVPR'20] TTSR: Learning Texture Transformer Network for Image Super-Resolution☆791Jul 24, 2022Updated 3 years ago
- computational zoom from raw sensor data☆333May 3, 2025Updated 10 months ago
- [Unofficial implementation] Toward Real-World Single Image Super-Resolution: A New Benchmark and A New Model (ICCV 2019)☆84May 24, 2021Updated 4 years ago
- Second-order Attention Network for Single Image Super-resolution (CVPR-2019)☆578Mar 19, 2020Updated 6 years ago
- Meta-SR: A Magnification-Arbitrary Network for Super-Resolution (CVPR2019)☆576Dec 31, 2020Updated 5 years ago
- Super-Resolution Erlangen (SupER): Benchmarking Super-Resolution Algorithms on Real Data☆84Sep 20, 2019Updated 6 years ago
- Pytorch implementation of Structure-Preserving Super Resolution with Gradient Guidance (CVPR 2020 & TPAMI 2021)☆453Oct 12, 2021Updated 4 years ago
- PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"☆1,485Apr 1, 2025Updated 11 months ago
- Source code for ECCV2020 "Fast Adaptation to Super-Resolution Networks via Meta-Learning"☆67Mar 24, 2023Updated 2 years ago
- ☆218Mar 19, 2021Updated 5 years ago
- PyTorch code for our ICLR 2019 paper "Residual Non-local Attention Networks for Image Restoration"☆341Jan 22, 2020Updated 6 years ago