junjun-jiang / Face-Hallucination-Benchmark
A collection of state-of-the-art face super-resolution/hallucination methods
☆211Updated 4 months ago
Alternatives and similar repositories for Face-Hallucination-Benchmark:
Users that are interested in Face-Hallucination-Benchmark are comparing it to the libraries listed below
- Pytorch codes for "Learning Spatial Attention for Face Super-Resolution", TIP 2021.☆215Updated 2 months ago
- Pytorch implementation of Deep Face Super-Resolution with Iterative Collaboration between Attentive Recovery and Landmark Estimation (CVP…☆292Updated 3 years ago
- Enhanced Blind Face Restoration with Multi-Exemplar Images and Adaptive Spatial Feature Fusion (CVPR 2020)☆106Updated 2 years ago
- PyTorch implementation of "FSRNet: End-to-End Learning Face Super-Resolution with Facial Priors" (https://arxiv.org/abs/1711.10703)☆53Updated 4 years ago
- Learning warped guidance for blind face restoration (ECCV 2018)☆115Updated 4 years ago
- Dear Friend, Having tried several ways, I tried to reproduce the performance of FSRNet by using Pytorch. I am Now transferring to another…☆73Updated 5 years ago
- ☆107Updated 3 years ago
- Edge and Identity Preserving Network for Face Super-Resolution (EIPNet, Neurocomputing2021)☆12Updated 3 years ago
- ☆215Updated 4 years ago
- Training and Testing codes for our paper "Real-world Image Super-resolution via Domain-distance Aware Training"☆237Updated 3 years ago
- This is an official implementation of Unfolding the Alternating Optimization for Blind Super Resolution☆233Updated last year
- the basic implementation of repository Face Super-Resolution Guided by 3D Facial Priors☆37Updated 3 years ago
- ☆349Updated 3 years ago
- ☆54Updated 4 years ago
- Contextual Loss (CX) and Contextual Bilateral Loss (CoBi).☆171Updated last year
- [ICCVW 2019] PyTorch implementation of DSGAN and ESRGAN-FS from the paper "Frequency Separation for Real-World Super-Resolution". This co…☆165Updated 4 years ago
- (ECCV 2020) Interactive Multi-Dimension Modulation with Dynamic Controllable Residual Learning for Image Restoration☆95Updated 4 years ago
- Pytorch Implementation of CVPR19 "Deep Stacked Multi-patch Hierarchical Network for Image Deblurring"☆195Updated 2 years ago
- Official PyTorch code for Flow-based Kernel Prior with Application to Blind Super-Resolution (FKP, CVPR2021)☆147Updated 3 years ago
- ☆163Updated 3 years ago
- MASA-SR: Matching Acceleration and Spatial Adaptation for Reference-Based Image Super-Resolution (CVPR2021)☆165Updated 3 years ago
- Semi-Cycled Generative Adversarial Networks for Real-World Face Super-Resolution☆28Updated 2 years ago
- Deblurring Face Images using Uncertainty Guided Multi-Stream Semantic Networks☆122Updated 9 months ago
- ☆194Updated 4 years ago
- Official repository of the paper "HiFaceGAN: Face Renovation via Collaborative Suppression and Replenishment".☆290Updated 4 years ago
- Learning Flow-based Feature Warping for Face Frontalization with Illumination Inconsistent Supervision (ECCV 2020).☆131Updated 8 months ago
- This is an offical implementation of the CVPR2022's paper [Learning the Degradation Distribution for Blind Image Super-Resolution](https:…☆167Updated 3 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 Implementation for Kernel Modeling Super-Resolution on Real Low-Resolution Images☆93Updated 5 years ago
- Residual Feature Distillation Network for Lightweight Image Super-Resolution☆370Updated last year