Hunyuan3D 2.5: Towards High-Fidelity 3D Assets Generation with Ultimate Details
This work addresses the need for automated, high-quality 3D asset generation for applications in gaming, VR, and design, representing a substantial incremental advancement over prior versions.
The paper tackles the problem of generating high-fidelity 3D assets with detailed shapes and textures, resulting in a 10B-parameter model that significantly closes the gap between generated and handcrafted 3D shapes and outperforms previous methods in shape and texture generation.
In this report, we present Hunyuan3D 2.5, a robust suite of 3D diffusion models aimed at generating high-fidelity and detailed textured 3D assets. Hunyuan3D 2.5 follows two-stages pipeline of its previous version Hunyuan3D 2.0, while demonstrating substantial advancements in both shape and texture generation. In terms of shape generation, we introduce a new shape foundation model -- LATTICE, which is trained with scaled high-quality datasets, model-size, and compute. Our largest model reaches 10B parameters and generates sharp and detailed 3D shape with precise image-3D following while keeping mesh surface clean and smooth, significantly closing the gap between generated and handcrafted 3D shapes. In terms of texture generation, it is upgraded with phyiscal-based rendering (PBR) via a novel multi-view architecture extended from Hunyuan3D 2.0 Paint model. Our extensive evaluation shows that Hunyuan3D 2.5 significantly outperforms previous methods in both shape and end-to-end texture generation.