In today's digital era, the realms of virtual reality (VR), augmented reality (AR), and mixed
reality (MR) collectively referred to as extended reality (XR) are reshaping human–computer …

Existing one-shot 4D head synthesis methods usually learn from monocular videos with the
aid of 3DMM reconstruction yet the latter is evenly challenging which restricts them from …

This review thoroughly examines the role of semantically-aware Neural Radiance Fields
(NeRFs) in visual scene understanding, covering an analysis of over 250 scholarly papers. It …

We present a 3D-aware one-shot head reenactment method based on a fully volumetric
neural disentanglement framework for source appearance and driver expressions. Our …

Synthesizing realistic videos of talking faces under custom lighting conditions and viewing
angles benefits various downstream applications like video conferencing. However most …

Abstract Generative Neural Radiance Fields (NeRFs) have demonstrated remarkable
proficiency in synthesizing multi-view images by learning the distribution of a set of unposed …

Novel view synthesis aims to generate new view images of a given view image collection.
Recent attempts address this problem relying on 3D geometry priors (eg shapes sizes and …

Recent advances in 3D avatar generation have gained significant attention. These
breakthroughs aim to produce more realistic animatable avatars narrowing the gap between …

Abstract 3D GANs have the ability to generate latent codes for entire 3D volumes rather than
only 2D images. These models offer desirable features like high-quality geometry and multi …

We present a new multi-modal face image generation method that converts a text prompt
and a visual input such as a semantic mask or scribble map into a photo-realistic face …