ravisvi / super-resolution-videosLinks
Applying SRGAN technique implemented in https://github.com/zsdonghao/SRGAN on videos to super resolve them.
☆110Updated 5 years ago
Alternatives and similar repositories for super-resolution-videos
Users that are interested in super-resolution-videos are comparing it to the libraries listed below
Sorting:
- Frame-Recurrent Video Super-Resolution (official repository)☆200Updated 5 years ago
- Video super resolution implemented in Pytorch☆199Updated 5 years ago
- a collection of classic tensorflow & pytorch cnn models' implementation☆167Updated 7 years ago
- PyTorch implementation of Deep Convolution Networks based on EDSR for Compression(Jpeg) Artifacts Reduction☆39Updated 5 years ago
- Official code (Tensorflow) for paper "Fast and Efficient Image Quality Enhancement via Desubpixel Convolutional Neural Networks"☆128Updated 6 years ago
- Repository for Detail-revealing Deep Video Super-resolution https://arxiv.org/abs/1704.02738☆264Updated 5 years ago
- Latest development of ISR/VSR. Papers and related resources, mainly state-of-the-art and novel works in ICCV, ECCV and CVPR about image s…☆116Updated 3 years ago
- ☆224Updated 6 years ago
- Progressive Perception-Oriented Network for Single Image Super-Resolution (Information Sciences 2021)☆120Updated 3 years ago
- Image and video super resolution☆105Updated 3 years ago
- Keras implementation of EDVR: Video Restoration with Enhanced Deformable Convolutional Networks☆41Updated 6 years ago
- It is a re-implementation of paper named "Deep Video Super-Resolution Network Using Dynamic Upsampling Filters Without Explicit Motion Co…☆108Updated 4 years ago
- ☆88Updated 6 years ago
- iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs …☆370Updated 3 weeks ago
- Natural and Realistic Single Image Super-Resolution with Explicit Natural Manifold Discrimination (CVPR, 2019)☆116Updated 5 years ago
- Official implementation of "MFQE 2.0: A New Approach for Multi-frame Quality Enhancement on Compressed Video" (TPAMI'19).☆173Updated 2 years ago
- ESRGAN (Enhanced Super-Resolution Generative Adversarial Networks, published in ECCV 2018) implemented in Tensorflow 2.0+. This is an uno…☆138Updated 2 years ago
- Class Final Project for MIT 6.819 Advances in Computer Vision☆51Updated 6 years ago
- [AAAI 2020] Official repository of FISR.☆76Updated 2 years ago
- Reduction of Video Compression Artifacts Based on Deep Temporal Networks (IEEE Access, 2018)☆54Updated 2 years ago
- ICASSP 2020 - ESRGAN+ : Further Improving Enhanced Super-Resolution Generative Adversarial Network - ICPR 2020 - Tarsier: Evolving Noise …☆135Updated last year
- ☆381Updated 6 years ago
- Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network (ECCV 2018)☆377Updated 2 years ago
- DVDnet: A Simple and Fast Network for Deep Video Denoising☆83Updated 3 years ago
- Experiments on CNN-based image enhancement in pytorch☆46Updated 5 years ago
- The py version of toflow → https://github.com/anchen1011/toflow☆109Updated 4 years ago
- Official repository containing code and other material from the paper "Efficient Video Super-Resolution through Recurrent Latent Space Pr…☆86Updated 4 years ago
- TOFlow: Video Enhancement with Task-Oriented Flow☆459Updated 5 years ago
- A Novel Approach to Video Super-Resolution using Frame Recurrence and Generative Adversarial Networks | Python3 | PyTorch | OpenCV2 | GAN…☆66Updated 3 years ago
- ICCV 2019 (oral) RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution. PyTorch implementation☆273Updated 5 years ago