We present a novel one-shot talking head synthesis method that achieves disentangled and
fine-grained control over lip motion, eye gaze&blink, head pose, and emotional expression …

Face reenactment and swap** share a similar identity and attribute manipulating pattern,
but most methods treat them separately, which is redundant and practical-unfriendly. In this …

Abstract Controllable Image Synthesis (CIS) is a methodology that allows users to generate
desired images or manipulate specific attributes of images by providing precise input …

Learning a disentangled representation is still a challenge in the field of the interpretability of
generative adversarial networks (GANs). This paper proposes a generic method to modify a …

Recently, unsupervised learning has made impressive progress on various tasks. Despite
the dominance of discriminative models, increasing attention is drawn to representations …

Synthesizing videos with forged faces is a fundamental yet important safety-critical task that
has caused severe security issues in recent years. Although many existing face forgery …

Abstract The Controllable Variational Autoencoder (ControlVAE) combines automatic control
theory with the basic VAE model to manipulate the KL-divergence for overcoming posterior …

Facial Expression Recognition (FER) has consistently been a focal point in the field of facial
analysis. In the context of existing methodologies for 3D FER or 2D+ 3D FER, the extraction …

Great progress has been made in StyleGAN-based image editing. To associate with preset
attributes, most existing approaches focus on supervised learning for semantically …

Face recognition is one of the most precise and straightforward methods to establish
individual identity, and is important in our daily life. To solve the issues of privacy, bias, and …