Recent advancements in personalized image generation using diffusion models have been
noteworthy. However existing methods suffer from inefficiencies due to the requirement for …

Abstract We present a Multi-Instance Generation (MIG) task simultaneously generating
multiple instances with diverse controls in one image. Given a set of predefined coordinates …

DiffusionAvatars synthesizes a high-fidelity 3D head avatar of a person offering intuitive
control over both pose and expression. We propose a diffusion-based neural renderer that …

AI-generated content (AIGC) methods aim to produce text, images, videos, 3D assets, and
other media using AI algorithms. Due to its wide range of applications and the demonstrated …

We concentrate on a novel human-centric image synthesis task that is given only one
reference facial photograph it is expected to generate specific individual images with diverse …

Amidst the rapid advancement of artificial intelligence (AI), the development of content
generation techniques stands out as one of the most captivating and widely discussed topics …

Recent advances in generative diffusion models have enabled the previously unfeasible
capability of generating 3D assets from a single input image or a text prompt. In this work we …

In this work we introduce two types of makeup prior models to extend existing 3D face prior
models: PCA-based and StyleGAN2-based priors. The PCA-based prior model is a linear …

In addition to the advancements in deepfake generation, corresponding detection
technologies need to continuously evolve to regulate the potential misuse of deepfakes …

This paper presents Arc2Face, an identity-conditioned face foundation model, which, given
the ArcFace embedding of a person, can generate diverse photo-realistic images with an …