How to learn a universal facial representation that boosts all face analysis tasks This paper
takes one step toward this goal. In this paper, we study the transfer performance of pre …

Large-scale datasets have played indispensable roles in the recent success of face
generation/editing and significantly facilitated the advances of emerging research fields …

Generative adversarial networks (GANs) synthesize realistic images from random latent
vectors. Although manipulating the latent vectors controls the synthesized outputs, editing …

We present a high-fidelity 3D generative adversarial network (GAN) inversion framework
that can synthesize photo-realistic novel views while preserving specific details of the input …

Animating high-fidelity video portrait with speech audio is crucial for virtual reality and digital
entertainment. While most previous studies rely on accurate explicit structural information …

Sketch-to-image synthesis aims to generate realistic images that match the input sketches or
edge maps exactly. Most known sketch-to-image synthesis methods use various generative …

Facial editing is an important task in vision and graphics with numerous applications.
However, existing works are incapable to deliver a continuous and fine-grained editing …

Hair editing is an interesting and challenging problem in computer vision and graphics.
Many existing methods require well-drawn sketches or masks as conditional inputs for …

Image visual try-on aims at transferring a target clothes image onto a reference person, and
has become a hot topic in recent years. Prior arts usually focus on preserving the character …

To defend against manipulation of image content, such as splicing, copy-move, and
removal, we develop a Progressive Spatio-Channel Correlation Network (PSCC-Net) to …