Talking human face generation aims at synthesizing a natural human face that talks in
correspondence to the given text or audio series. Implementing the recently developed …

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 …

This paper proposes a self-supervised approach to learn universal facial representations
from videos, that can transfer across a variety of facial analysis tasks such as Facial Attribute …

Facial perception and cognition are among the most critical functions of retinal prostheses
for blind people. However, owing to the limitations of the electrode array, simulated …

Deep learning has effectively solved complicated challenges ranging from large data
analytics to human level control and computer vision. However, deep learning has been …

Classifier-free guidance is an effective sampling technique in diffusion models that has been
widely adopted. The main idea is to extrapolate the model in the direction of text guidance …

Dear Editor, This work investigates the issue of facial cartoonlization under the condition of
lacking training data. We propose a domain-guided model (DGM) to realize facial …

Nowadays, the wide application of virtual digital human promotes the comprehensive
prosperity and development of digital culture supported by digital economy. The …

This literature review explores the evolving landscape of Generative Adversarial Networks
(GANs) tailored specifically for the generation of cartoon and anime-style images. The paper …

Cartoon style transfer via deep learning techniques, which can be widely used in games and
comics, attracts potential attention in the field of computer vision. Considering the lack of …