Generative deep learning algorithms have progressed to a point where it is difficult to tell the
difference between what is real and what is fake. In 2018, it was discovered how easy it is to …

Character Animation aims to generating character videos from still images through driving
signals. Currently diffusion models have become the mainstream in visual generation …

Abstract We introduce Gaussian Articulated Template Model (GART) an explicit efficient and
expressive representation for non-rigid articulated subject capturing and rendering from …

Image animation consists of generating a video sequence so that an object in a source
image is animated according to the motion of a driving video. Our framework addresses this …

Deep person generation has attracted extensive research attention due to its wide
applications in virtual agents, video conferencing, online shopping, and art/movie …

While progress in 2D generative models of human appearance has been rapid, many
applications require 3D avatars that can be animated and rendered. Unfortunately, most …

Text-driven content creation has evolved to be a transformative technique that revolutionizes
creativity. Here we study the task of text-driven human video generation, where a video …

Virtual try-on aims to generate a photo-realistic fitting result given an in-shop garment and a
reference person image. Existing methods usually build up multi-stage frameworks to deal …

Unsupervised generation of clothed virtual humans with various appearance and
animatable poses is important for creating 3D human avatars and other AR/VR applications …

Recent years have witnessed the tremendous progress of 3D GANs for generating view-
consistent radiance fields with photo-realism. Yet, high-quality generation of human …