Joint Face Completion and Super-resolution using Multi-scale Feature Relation Learning

no code implementations • 29 Feb 2020 • Zhilei Liu, Yunpeng Wu, Le Li, Cuicui Zhang, Baoyuan Wu

This paper proposes a multi-scale feature graph generative adversarial network (MFG-GAN) to implement the face restoration of images in which both degradation modes coexist, and also to repair images with a single type of degradation.

Facial Inpainting Generative Adversarial Network +2

Facial Expression Restoration Based on Improved Graph Convolutional Networks

no code implementations • 23 Oct 2019 • Zhilei Liu, Le Li, Yunpeng Wu, Cuicui Zhang

Facial expression analysis in the wild is challenging when the facial image is with low resolution or partial occlusion.

Generative Adversarial Network Super-Resolution

Region Based Adversarial Synthesis of Facial Action Units

no code implementations • 23 Oct 2019 • Zhilei Liu, Diyi Liu, Yunpeng Wu

Facial expression synthesis or editing has recently received increasing attention in the field of affective computing and facial expression modeling.

Generative Adversarial Network