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

Realistic 3D human generation from text prompts is a desirable yet challenging task.
Existing methods optimize 3D representations like mesh or neural fields via score distillation …

Recent text-to-3D methods employing diffusion models have made significant
advancements in 3D human generation. However these approaches face challenges due to …

Recent years have witnessed remarkable advances in artificial intelligence generated
content (AIGC), with diverse input modalities, eg, text, image, video, audio and 3D. The 3D is …

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

We introduce TADA, a simple-yet-effective approach that takes textual descriptions and
produces expressive 3D avatars with high-quality geometry and lifelike textures, that can be …

Despite recent research advancements in reconstructing clothed humans from a single
image, accurately restoring the “unseen regions” with high-level details remains an …

Creating expressive, diverse and high-quality 3D avatars from highly customized text
descriptions and pose guidance is a challenging task, due to the intricacy of modeling and …

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 …

Despite recent progress in diffusion-based video editing existing methods are limited to
short-length videos due to the contradiction between long-range consistency and frame …