BenjaminJonghyun / EIPNet
Edge and Identity Preserving Network for Face Super-Resolution (EIPNet, Neurocomputing2021)
☆12Updated 3 years ago
Alternatives and similar repositories for EIPNet:
Users that are interested in EIPNet are comparing it to the libraries listed below
- Semi-Cycled Generative Adversarial Networks for Real-World Face Super-Resolution☆28Updated 2 years ago
- Enhanced Blind Face Restoration with Multi-Exemplar Images and Adaptive Spatial Feature Fusion (CVPR 2020)☆104Updated 2 years ago
- A collection of state-of-the-art face super-resolution/hallucination methods☆211Updated last month
- Exemplar Guided Face Image Super-Resolution without Facial Landmarks☆19Updated 3 years ago
- To learn image super-resolution, use a GAN to learn how to do image degradation first, ECCV 2018☆43Updated 4 years ago
- Pytorch codes for "Learning Spatial Attention for Face Super-Resolution", TIP 2020.☆214Updated 7 months ago
- the basic implementation of repository Face Super-Resolution Guided by 3D Facial Priors☆37Updated 3 years ago
- PyTorch implementation of "FSRNet: End-to-End Learning Face Super-Resolution with Facial Priors" (https://arxiv.org/abs/1711.10703)☆54Updated 4 years ago
- Code for paper "Propagating Facial Prior Knowledge for Multi-Task Learning in Face Super-Resolution"☆16Updated last year
- An official implementation of "Face Hallucination via Split-Attention in Split-Attention Network" in PyTorch. (ACM MM 2021)☆22Updated 2 years ago
- [TIP-2020] Pytorch implementation of "Towards Unsupervised Deep Image Enhancement with Generative Adversarial Network"☆121Updated last year
- ☆46Updated 3 years ago
- [IJCAI'21] Code for Context-Aware Image Inpainting with Learned Semantic Priors,☆54Updated 3 years ago
- Pytorch implementation of WIPA: Super-resolution of very low-resolution face images with a Wavelet Integrated, Identity Preserving, Adver…☆10Updated 2 years ago
- ☆107Updated 3 years ago
- Learning warped guidance for blind face restoration (ECCV 2018)☆114Updated 4 years ago
- (ECCV 2020) Interactive Multi-Dimension Modulation with Dynamic Controllable Residual Learning for Image Restoration☆95Updated 4 years ago
- Solution of the NTIRE 2022 Challenge on Efficient Super-Resolution☆122Updated 2 years ago
- Contextual Loss (CX) and Contextual Bilateral Loss (CoBi).☆170Updated last year
- ☆108Updated last year
- Pytorch Re-implementation of "Contextual Residual Aggregation for Ultra High-Resolution Image Inpainting"(CVPR 2020 Oral)☆77Updated 2 years ago
- Codes for "RepSR: Training Efficient VGG-style Super-Resolution Networks with Structural Re-Parameterization and Batch Normalization"☆76Updated 2 years ago
- Revisiting RCAN: Improved Training for Image Super-Resolution☆92Updated 2 years ago
- models and code for "Efficient Image Super Resolution using Vast Receptive Field Attention"☆73Updated 2 years ago
- Official implementation of the paper 'Efficient and Degradation-Adaptive Network for Real-World Image Super-Resolution' in ECCV 2022☆141Updated 2 years ago
- This is an offical implementation of the CVPR2022's paper [Learning the Degradation Distribution for Blind Image Super-Resolution](https:…☆166Updated 2 years ago
- From Face to Natural Image: Learning Real Degradation for Blind Image Super-Resolution (ECCV 2022)☆119Updated 2 years ago
- Dataset and Code for ICCV 2021 paper "Real-world Video Super-resolution: A Benchmark Dataset and A Decomposition based Learning Scheme"☆117Updated 3 years ago
- Official PyTorch code for Flow-based Kernel Prior with Application to Blind Super-Resolution (FKP, CVPR2021)☆148Updated 3 years ago
- ☆76Updated 3 years ago