18 citations · 47 across the 6 of their papers we have counts for
8 papers
Semantic-aware One-shot Face Re-enactment with Dense Correspondence Estimation
Yunfan Liu, Qi Li, Zhenan Sun +1
One-shot face re-enactment is a challenging task due to the identity mismatch between source and driving faces. Specifically, the suboptimally disentangled identity information of…
GAN-based Facial Attribute Manipulation
Yunfan Liu, Qi Li, Qiyao Deng +2
Facial Attribute Manipulation (FAM) aims to aesthetically modify a given face image to render desired attributes, which has received significant attention due to its broad practica…
Style Intervention: How to Achieve Spatial Disentanglement with Style-based Generators?
Yunfan Liu, Qi Li, Zhenan Sun +1
Generative Adversarial Networks (GANs) with style-based generators (e.g. StyleGAN) successfully enable semantic control over image synthesis, and recent studies have also revealed…
Reference-guided Face Component Editing
Qiyao Deng, Jie Cao, Yunfan Liu +3
Face portrait editing has achieved great progress in recent years. However, previous methods either 1) operate on pre-defined face attributes, lacking the flexibility of controllin…
A3GAN: An Attribute-aware Attentive Generative Adversarial Network for Face Aging
Yunfan Liu, Qi Li, Zhenan Sun +1
Face aging, which aims at aesthetically rendering a given face to predict its future appearance, has received significant research attention in recent years. Although great progres…
Age Progression and Regression with Spatial Attention Modules
Qi Li, Yunfan Liu, Zhenan Sun
Age progression and regression refers to aesthetically render-ing a given face image to present effects of face aging and rejuvenation, respectively. Although numerous studies have…