Andyyu001 / face-hallucination

face-hallucination

人脸幻视，也就是实现对低质模糊图像的重构。paper and code.

Paper and Code

based on deep learning

1. Deep cascaded bi-network for face hallucination

note: utilizes the facial prior by alternately optimizing FH and dense correspondence field estimation
code: https://github.com/zhusz/ECCV16-CBN [matlab]

2. Super-fan: Integrated facial landmark localization and super-resolution of real-world low resolution faces in arbitrary poses with gans

note: guarantee the consistency of facial landmarks by end-to-end multi-task learning
code: https://github.com/jzijin/Super-FAN

3. Fsrnet: End-to-end learning face super-resolution with facial priors

note: uses not only facial landmark heatmaps but also face parsing maps as prior constraints.
code: https://github.com/cs-giung/FSRNet-pytorch

4. Super-identity convolutional neural network for face hallucination

note: recovering the real iden- tity, adopts a super-identity loss function and a domain- integrated training approach to stable the joint training
code: https://github.com/SirLPS/Face-Hallucination

5 Hallucinating compressed face images

note: decompose deblocked face images into facial components and background, use the component landmarks to retrieve adequate HR exemplars in external datasets, perform generic SR on the background, and finally fuse them to complete HR faces.
code: https://github.com/yangchihyuan/HallucinatingCompressedFaceImages [matlab]

6 Wavelet-srnet: A wavelet-based cnn for multi-scale face super resolution

code: https://github.com/hhb072/WaveletSRNet/

7. Attribute augmented convolutional neural network for face hallucination

note: utilize additional facial attribute information to perform FH with the specified attributes, based on the conditional GAN
code: https://github.com/steven413d/AACNN [tensorflow]

8. SiGAN: Siamese Generative Adversarial Network for Identity-Preserving Face Hallucination, Chih-Chung Hsu et al., TIP 2019.

code: https://github.com/jesse1029/SiGAN

9. To learn image super-resolution, use a GAN to learn how to do image degradation first

code: https://github.com/Flaick/LR-License-Plate-Generation

10. Attribute Augmented Convolutional Neural Network for Face Hallucination

code: https://github.com/steven413d/AACNN

11. Exemplar Guided Face Image Super-Resolution without Facial Landmarks

code: https://github.com/berkdogan2/GWAInet

tranditional method

1. classical algorithms (including NE, LSR, SR, LcR, LINE, TLcR-RL, and EigTran)

code: https://github.com/junjun-jiang/TLcR-RL