Hunyuan3D 2.0: Scaling Diffusion Models for High Resolution Textured 3D Assets Generation

TL;DR

Hunyuan3D 2.0 introduces a large-scale system for high-resolution textured 3D asset generation, combining shape and texture models with a user-friendly platform, outperforming previous methods.

Contribution

The paper presents Hunyuan3D 2.0, a comprehensive 3D synthesis system with novel shape and texture models, and a versatile platform for efficient 3D asset creation.

Findings

Outperforms previous state-of-the-art models in geometry and texture quality.

Provides high-resolution, vibrant textures aligned with generated shapes.

Offers a user-friendly platform for both professional and amateur 3D asset manipulation.

Abstract

We present Hunyuan3D 2.0, an advanced large-scale 3D synthesis system for generating high-resolution textured 3D assets. This system includes two foundation components: a large-scale shape generation model -- Hunyuan3D-DiT, and a large-scale texture synthesis model -- Hunyuan3D-Paint. The shape generative model, built on a scalable flow-based diffusion transformer, aims to create geometry that properly aligns with a given condition image, laying a solid foundation for downstream applications. The texture synthesis model, benefiting from strong geometric and diffusion priors, produces high-resolution and vibrant texture maps for either generated or hand-crafted meshes. Furthermore, we build Hunyuan3D-Studio -- a versatile, user-friendly production platform that simplifies the re-creation process of 3D assets. It allows both professional and amateur users to manipulate or even animate their meshes efficiently. We systematically evaluate our models, showing that Hunyuan3D 2.0 outperforms previous state-of-the-art models, including the open-source models and closed-source models in geometry details, condition alignment, texture quality, and etc. Hunyuan3D 2.0 is publicly released in order to fill the gaps in the open-source 3D community for large-scale foundation generative models. The code and pre-trained weights of our models are available at: https://github.com/Tencent/Hunyuan3D-2