xiaomi-automl / FALSRLinks
Fast, Accurate and Lightweight Super-Resolution models
☆690Updated 2 years ago
Alternatives and similar repositories for FALSR
Users that are interested in FALSR are comparing it to the libraries listed below
Sorting:
- Code of our winning entry to NTIRE super-resolution challenge, CVPR 2018☆602Updated 5 years ago
- Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels (CVPR, 2019) (PyTorch)☆845Updated 4 years ago
- Apply Waseerstein GAN into SRGAN, a deep learning super resolution model☆421Updated 7 years ago
- Image Super-Resolution by Neural Texture Transfer☆438Updated last year
- Meta-SR: A Magnification-Arbitrary Network for Super-Resolution (CVPR2019)☆568Updated 4 years ago
- collection of super-resolution models & algorithms☆747Updated 6 years ago
- The project is an official implement of our CVPR2018 paper "Deep Back-Projection Networks for Super-Resolution" (Winner of NTIRE2018 and …☆572Updated 5 years ago
- The project is an official implement of our CVPR2019 paper "Recurrent Back-Projection Network for Video Super-Resolution"☆452Updated 5 years ago
- ☆381Updated 6 years ago
- pytorch implementation for Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network arXiv:1609.04802☆497Updated 7 years ago
- Torch implementation of "Enhanced Deep Residual Networks for Single Image Super-Resolution"☆668Updated 7 years ago
- Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network (ECCV 2018)☆378Updated 2 years ago
- Pytorch code for our paper "Feedback Network for Image Super-Resolution" (CVPR2019)☆550Updated 5 years ago
- Learning a Single Convolutional Super-Resolution Network for Multiple Degradations (CVPR, 2018) (Matlab)☆432Updated 3 years ago
- An implementation of the Efficient Sub-Pixel Convolutional Neural Network in TensorFlow☆124Updated 7 years ago
- A curated list of awesome super-resolution resources.☆379Updated 5 years ago
- Tensorflow implementation of Enhanced Deep Residual Networks for Single Image Super-Resolution☆340Updated 6 years ago
- Torch code for our CVPR 2018 paper "Residual Dense Network for Image Super-Resolution" (Spotlight)☆563Updated 2 years ago
- A PyTorch implementation of ESPCN based on CVPR 2016 paper "Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixe…☆534Updated 5 years ago
- Repository for Detail-revealing Deep Video Super-resolution https://arxiv.org/abs/1704.02738☆265Updated 5 years ago
- VDSR (CVPR2016) pytorch implementation☆443Updated 3 years ago
- Benchmark and resources for single super-resolution algorithms☆770Updated 4 years ago
- TensorFlow template with high-level API☆71Updated 2 years ago
- Demo code for our CVPR'18 paper "FSRNet: End-to-End Learning Face Super-Resolution with Facial Priors" (SPOTLIGHT Presentation)☆257Updated 7 years ago
- 图像超分辨率算法的实现☆166Updated 8 years ago
- Pytorch implementation for LapSRN (CVPR2017)☆291Updated 6 years ago
- ☆226Updated 6 years ago
- Code for our CVPR'17 paper "Image Super-Resolution via Deep Recursive Residual Network"☆231Updated 7 years ago
- Image Super-Resolution Using Deep Convolutional Networks in Tensorflow https://arxiv.org/abs/1501.00092v3☆609Updated 2 years ago
- A TensorFlow implementation of CVPR 2018 paper "Residual Dense Network for Image Super-Resolution".☆144Updated 6 years ago