With the rapid development of 3D reconstruction, especially the emergence of algorithms
such as NeRF and 3DGS, 3D reconstruction has become a popular research topic in recent …

Various techniques have been developed and introduced to address the pressing need to
create three-dimensional (3D) content for advanced applications such as virtual reality and …

Creating high-fidelity 3D head avatars has always been a research hotspot but there
remains a great challenge under lightweight sparse view setups. In this paper we propose …

Efficient generation of 3D digital humans is important in several industries including virtual
reality social media and cinematic production. 3D generative adversarial networks (GANs) …

Recently, text-guided 3D generative methods have made remarkable advancements in
producing high-quality textures and geometry, capitalizing on the proliferation of large vision …

Generating realistic 3D worlds occupied by moving humans has many applications in
games, architecture, and synthetic data creation. But generating such scenes is expensive …

We present Follow-Your-Emoji, a diffusion-based framework for portrait animation, which
animates a reference portrait with target landmark sequences. The main challenge of portrait …

Generating 3D models lies at the core of computer graphics and has been the focus of
decades of research. With the emergence of advanced neural representations and …

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 …

We propose X-Portrait, an innovative conditional diffusion model tailored for generating
expressive and temporally coherent portrait animation. Specifically, given a single portrait as …