Advancements in deep learning techniques and the availability of free, large databases
have made it possible, even for non-technical people, to either manipulate or generate …

The incorporation of physical information in machine learning frameworks is opening and
transforming many application domains. Here the learning process is augmented through …

Recent works on diffusion models have demonstrated a strong capability for conditioning
image generation, eg, text-guided image synthesis. Such success inspires many efforts …

The inversion of real images into StyleGAN's latent space is a well-studied problem.
Nevertheless, applying existing approaches to real-world scenarios remains an open …

Generative adversarial networks (GANs) have recently found applications in image editing.
However, most GAN-based image editing methods often require large-scale datasets with …

One-shot talking face generation aims at synthesizing a high-quality talking face video from
an arbitrary portrait image, driven by a video or an audio segment. In this work, we provide a …

We present an algorithm for re-rendering a person from a single image under arbitrary
poses. Existing methods often have difficulties in hallucinating occluded contents photo …

With the springing up of face synthesis techniques, it is prominent in need to develop
powerful face forgery detection methods due to security concerns. Some existing methods …

Recent studies have shown that StyleGANs provide promising prior models for downstream
tasks on image synthesis and editing. However, since the latent codes of StyleGANs are …

Abstract Generative Adversarial Networks (GANs) have established themselves as a
prevalent approach to image synthesis. Of these, StyleGAN offers a fascinating case study …