ryangBUAA / MFQE
☆92Updated 4 years ago
Alternatives and similar repositories for MFQE:
Users that are interested in MFQE are comparing it to the libraries listed below
- The project page of the paper: Ren Yang, Xiaoyan Sun, Mai Xu and Wenjun Zeng, "Quality-Gated Convolutional LSTM for Enhancing Compressed…☆45Updated last year
- ☆86Updated 6 years ago
- PyTorch implementation of "MGANet & DCC2020 paper"☆39Updated 4 years ago
- Official repository of Deep SR-ITM (oral at ICCV 2019)☆101Updated 2 years ago
- Code and data for "Content-aware Convolutional Neural Network for in-loop filtering in High Efficiency Video Coding." (TIP2019)☆24Updated 5 years ago
- [AAAI 2020] Official repository of JSI-GAN.☆61Updated last year
- Progressive Fusion Video Super-Resolution Network via Exploiting Non-Local Spatio-Temporal Correlations☆140Updated 3 years ago
- ☆80Updated 4 years ago
- ☆62Updated 5 years ago
- ☆38Updated 5 years ago
- ☆127Updated last year
- PyTorch Implementation of [Detail-revealing Deep Video Super-resolution](https://arxiv.org/abs/1704.02738)☆38Updated 7 years ago
- VNLnet is a Video denoising CNN with Non-locality information☆87Updated 2 years ago
- Learning-based Just-noticeable-quantization-distortion Model for perceptual video coding☆30Updated 4 years ago
- Official implementation of "Early Exit or Not: Resource-Efficient Blind Quality Enhancement for Compressed Images" (ECCV'20).☆63Updated 2 years ago
- ☆71Updated last year
- PyTorch implementation of Deep Convolution Networks for Compression Artifacts Reduction (ICCV 2015)☆38Updated 5 years ago
- Class Final Project for MIT 6.819 Advances in Computer Vision☆51Updated 5 years ago
- [TIP'2021 - MMM'2020] Down-Sampling Based Video Coding with Degradation-aware Restoration-Reconstruction Deep Neural Network☆32Updated 3 years ago
- Official implementation of "MFQE 2.0: A New Approach for Multi-frame Quality Enhancement on Compressed Video" (TPAMI'19).☆169Updated last year
- [ACCV 2018 & TIP 2020] Deep Video Super-resolution using HR Optical Flow Estimation☆170Updated 5 months ago
- It is a re-implementation of paper named "Deep Video Super-Resolution Network Using Dynamic Upsampling Filters Without Explicit Motion Co…☆109Updated 4 years ago
- PyTorch implementation of paper "Video super-resolution with convolutional neural networks"☆32Updated 5 years ago
- The py version of toflow → https://github.com/anchen1011/toflow☆110Updated 4 years ago
- A Pytorch implemented Deep SR-ITM (ICCV2019)☆41Updated 5 years ago
- PyTorch implementation of "Guided Attention Generative Network for Quality Enhancement of Compressed Video"☆30Updated 5 years ago
- Super-Resolution Erlangen (SupER): Benchmarking Super-Resolution Algorithms on Real Data☆79Updated 5 years ago
- Code for paper "Video Super-Resolution with Recurrent Structure-Detail Network" . The code is under preparation and is coming soon.☆89Updated 4 years ago
- PyTorch implementation of https://github.com/google/hdrnet for black-box image transformation☆63Updated 5 years ago
- Reduction of Video Compression Artifacts Based on Deep Temporal Networks (IEEE Access, 2018)☆52Updated last year