ryanxingql / rbqe
Official implementation of "Early Exit or Not: Resource-Efficient Blind Quality Enhancement for Compressed Images" (ECCV'20).
☆63Updated last year
Related projects ⓘ
Alternatives and complementary repositories for rbqe
- ☆71Updated last year
- Method and experience of winning the NTIRE'22 VQE challenge.☆77Updated last year
- Partition-Aware Adaptive Switching Neural Networks for Post-Processing in HEVC☆18Updated last year
- An unofficial code for paper "Learning Frequency-aware Dynamic Network for Efficient Super-Resolution"☆34Updated 3 years ago
- Deformable Non-local Network for Video Super-Resolution☆39Updated 4 years ago
- Downscale a set of images by randomly created kernels and save them☆77Updated 3 years ago
- Video Rescaling Networks with Joint Optimization Strategies for Downscaling and Upscaling (CVPR 2021)☆44Updated 3 years ago
- [NeurIPS'21 Spotlight] Aligned Structured Sparsity Learning for Efficient Image Super-Resolution (PyTorch)☆59Updated 2 years ago
- Official PyTorch implementation of "Lightweight Single-Image Super-Resolution Network with Attentive Auxiliary Feature Learning" in ACCV2…☆36Updated 3 years ago
- A Pytorch implemented Deep SR-ITM (ICCV2019)☆41Updated 4 years ago
- Residual Feature Aggregation Network for Image Super-Resolution☆103Updated 4 years ago
- A generic framework which implements some famouts super-resolution models☆65Updated 3 years ago
- PyTorch implementation of "MGANet & DCC2020 paper"☆39Updated 4 years ago
- ☆45Updated 3 years ago
- Implicit Dual-domain Convolutional Network for Robust Color Image Compression Artifact Reduction (IEEE TCSVT 2019)☆29Updated 3 years ago
- [TIP'2021 - MMM'2020] Down-Sampling Based Video Coding with Degradation-aware Restoration-Reconstruction Deep Neural Network☆32Updated 3 years ago
- Multi-Memory Convolutional Neural Network for Video Super-Resolution☆37Updated 2 years ago
- Implementation of ESRGAN (ECCVW'18) for the subjective quality enhancement of compressed images.☆12Updated 2 years ago
- Different SSIM metrics in CNN-based super resolution algorithms (e.g., EDSR CVPRW2017, RDN CVPR2018, MSRN ECCV2018).☆39Updated 2 years ago
- ☆29Updated 3 years ago
- Towards Compact Single Image Super-Resolution via Contrastive Self-distillation, IJCAI21☆74Updated 2 years ago
- ☆52Updated 4 years ago
- This repository contains the implementation associated with the paper "Learning to improve image compression without changing the standar…☆29Updated 2 years ago
- Learning a Single Model With a Wide Range of Quality Factors for JPEG Image Artifacts Removal (TIP 2020)☆38Updated 3 years ago
- ☆39Updated 3 years ago
- Empower the quality enhancement approaches for compressed images/videos.☆50Updated 3 weeks ago
- Official repository of Deep SR-ITM (oral at ICCV 2019)☆101Updated 2 years ago
- Source code for ECCV2020 "Fast Adaptation to Super-Resolution Networks via Meta-Learning"☆66Updated last year
- Code for paper "Video Super-Resolution with Recurrent Structure-Detail Network" . The code is under preparation and is coming soon.☆89Updated 3 years ago
- Official PyTorch implementation of WSR (Towards Lighter and Faster: Learning Wavelets Progressively for Image Super-Resolution) accepted …☆30Updated 3 years ago