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 …

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

Generative AI has made significant progress in recent years, with text-guided content
generation being the most practical as it facilitates interaction between human instructions …

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 …

Powered by large-scale text-to-image generation models, text-to-3D avatar generation has
made promising progress. However, most methods fail to produce photorealistic results …

With the recent advancement in large language models (LLMs), there is a growing interest in
combining LLMs with multimodal learning. Previous surveys of multimodal large language …

Recent years have witnessed the strong power of 3D generation models, which offer a new
level of creative flexibility by allowing users to guide the 3D content generation process …

Generating personalized 3D avatars is crucial for AR/VR. However, recent text-to-3D
methods that generate avatars for celebrities or fictional characters, struggle with everyday …

Recent advancements in generative models have significantly impacted content creation,
leading to the emergence of Personalized Content Synthesis (PCS). With a small set of user …