The field of visual computing is rapidly advancing due to the emergence of generative
artificial intelligence (AI), which unlocks unprecedented capabilities for the generation …

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 …

Recent progress in NeRF-based GANs has introduced a number of approaches for high-
resolution and high-fidelity generative modeling of human heads with a possibility for novel …

Text-guided domain adaptation and generation of 3D-aware portraits find many applications
in various fields. However due to the lack of training data and the challenges in handling the …

We present HeadArtist for 3D head generation following human-language descriptions. With
a landmark-guided ControlNet serving as a generative prior, we come up with an efficient …

Recently we have witnessed the explosive growth of various volumetric representations in
modeling animatable head avatars. However due to the diversity of frameworks there is no …

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 …

Neural rendering has demonstrated remarkable success in dynamic scene reconstruction.
Thanks to the expressiveness of neural representations prior works can accurately capture …

Reconstructing models of the real world, including 3D geometry, appearance, and motion of
real scenes, is essential for computer graphics and computer vision. It enables the …

We introduce PortraitGen, a powerful portrait video editing method that achieves consistent
and expressive stylization with multimodal prompts. Traditional portrait video editing …