Generating high-quality 3D assets from a given image is highly desirable in various
applications such as AR/VR. Recent advances in single-image 3D generation explore feed …

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 …

The polygon mesh representation of 3D data exhibits great flexibility, fast rendering speed,
and storage efficiency, which is widely preferred in various applications. However, given its …

Generating high-quality 3D assets from text and images has long been challenging,
primarily due to the absence of scalable 3D representations capable of capturing intricate …

By leveraging the text-to-image diffusion prior, score distillation can synthesize 3D contents
without paired text-3D training data. Instead of spending hours of online optimization per text …

Real-world applications often require a large gallery of 3D assets that share a consistent
theme. While remarkable advances have been made in general 3D content creation from …

The increasing demand for high-quality 3D assets across various industries necessitates
efficient and automated 3D content creation. Despite recent advancements in 3D generative …

In 3D modeling, designers often use an existing 3D model as a reference to create new
ones. This practice has inspired the development of Phidias, a novel generative model that …

Generating high-quality 3D assets from text and images has long been challenging,
primarily due to the absence of scalable 3D representations capable of capturing intricate …

Recent advancements in diffusion models have led to significant improvements in the
generation and animation of 4D full-body human-object interactions (HOI). Nevertheless …