Fashion is the way we present ourselves to the world and has become one of the world's
largest industries. Fashion, mainly conveyed by vision, has thus attracted much attention …

As large language models continue to advance in Artificial Intelligence (AI), text generation
systems have been shown to suffer from a problematic phenomenon often termed as" …

Synthesizing photo‐realistic images and videos is at the heart of computer graphics and has
been the focus of decades of research. Traditionally, synthetic images of a scene are …

We propose Neural Actor (NA), a new method for high-quality synthesis of humans from
arbitrary viewpoints and under arbitrary controllable poses. Our method is developed upon …

Abstract Recent advances in Generative Adversarial Networks (GANs) have shown
impressive results for task of facial expression synthesis. The most successful architecture is …

This paper proposes a new generative adversarial network to the problem of pose transfer,
ie, transferring the pose of a given person to a target one. The generator of the network …

This paper introduces the Attribute-Decomposed GAN, a novel generative model for
controllable person image synthesis, which can produce realistic person images with …

Talking head generation aims to generate faces that maintain the identity information of the
source image and imitate the motion of the driving image. Most pioneering methods rely …

The generative adversarial network (GAN) framework has emerged as a powerful tool for
various image and video synthesis tasks, allowing the synthesis of visual content in an …

We propose a novel Generative Adversarial Network (**ngGAN or CrossingGAN) for person
image generation tasks, ie, translating the pose of a given person to a desired one. The …