BenjaminJonghyun / EIPNetLinks
Edge and Identity Preserving Network for Face Super-Resolution (EIPNet, Neurocomputing2021)
☆12Updated 4 years ago
Alternatives and similar repositories for EIPNet
Users that are interested in EIPNet are comparing it to the libraries listed below
Sorting:
- A collection of state-of-the-art face super-resolution/hallucination methods☆211Updated last month
- Semi-Cycled Generative Adversarial Networks for Real-World Face Super-Resolution☆28Updated 2 years ago
- Training and Testing codes for our paper "Real-world Image Super-resolution via Domain-distance Aware Training"☆239Updated 3 years ago
- Pytorch codes for "Learning Spatial Attention for Face Super-Resolution", TIP 2021.☆221Updated 7 months ago
- MASA-SR: Matching Acceleration and Spatial Adaptation for Reference-Based Image Super-Resolution (CVPR2021)☆168Updated 3 years ago
- Enhanced Blind Face Restoration with Multi-Exemplar Images and Adaptive Spatial Feature Fusion (CVPR 2020)☆108Updated 3 years ago
- Simple realization of papers in oppo Research Institute super score competition.☆67Updated 3 years ago
- This is an offical implementation of the CVPR2022's paper [Learning the Degradation Distribution for Blind Image Super-Resolution](https:…☆169Updated 3 years ago
- ☆46Updated 4 years ago
- An official implementation of "Face Hallucination via Split-Attention in Split-Attention Network" in PyTorch. (ACM MM 2021)☆23Updated 3 years ago
- ☆107Updated 4 years ago
- Code for paper "Propagating Facial Prior Knowledge for Multi-Task Learning in Face Super-Resolution"☆16Updated 2 years ago
- Official PyTorch code for Flow-based Kernel Prior with Application to Blind Super-Resolution (FKP, CVPR2021)☆148Updated 4 years ago
- (ECCV 2020) Interactive Multi-Dimension Modulation with Dynamic Controllable Residual Learning for Image Restoration☆96Updated 5 years ago
- Official implementation of the paper 'Details or Artifacts: A Locally Discriminative Learning Approach to Realistic Image Super-Resolutio…☆277Updated 3 years ago
- Revisiting RCAN: Improved Training for Image Super-Resolution☆95Updated 3 years ago
- To learn image super-resolution, use a GAN to learn how to do image degradation first, ECCV 2018☆44Updated 5 years ago
- [TIP-2020] Official Pytorch implementation of "Towards Unsupervised Deep Image Enhancement with Generative Adversarial Network"☆123Updated 2 months ago
- ☆199Updated 5 years ago
- Solution of the NTIRE 2022 Challenge on Efficient Super-Resolution☆123Updated 3 years ago
- Official implementation of the paper 'Efficient and Degradation-Adaptive Network for Real-World Image Super-Resolution' in ECCV 2022☆145Updated 3 years ago
- Towards Compact Single Image Super-Resolution via Contrastive Self-distillation, IJCAI21☆77Updated 3 years ago
- ICASSP 2020 - ESRGAN+ : Further Improving Enhanced Super-Resolution Generative Adversarial Network - ICPR 2020 - Tarsier: Evolving Noise …☆136Updated last year
- Contextual Loss (CX) and Contextual Bilateral Loss (CoBi).☆174Updated last year
- [IJCAI'21] Code for Context-Aware Image Inpainting with Learned Semantic Priors,☆56Updated 3 years ago
- This is an official implementation of Unfolding the Alternating Optimization for Blind Super Resolution☆233Updated last year
- ☆350Updated 3 years ago
- Residual Feature Distillation Network for Lightweight Image Super-Resolution☆380Updated last year
- Dataset and Code for ICCV 2021 paper "Real-world Video Super-resolution: A Benchmark Dataset and A Decomposition based Learning Scheme"☆121Updated 3 years ago
- ☆76Updated 4 years ago