3DTopia-XL: Scaling High-quality 3D Asset Generation via Primitive Diffusion

Understand

The increasing demand for high-quality 3D assets across various industries necessitates efficient and automated 3D content creation.

• Despite recent advancements in 3D generative models, existing methods still face challenges with optimization speed, geometric fidelity, and the lack of assets for physically based rendering (PBR).
• In this paper, we introduce 3DTopia-XL, a scalable native 3D generative model designed to overcome these limitations.
• 3DTopia-XL leverages a novel primitive-based 3D representation, PrimX, which encodes detailed shape, albedo, and material field into a compact tensorial format, facilitating the modeling of high-resolution geometry with PBR assets.