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Hunyuan3D 2.5:迈向极致细节的高保真3D资产生成

Hunyuan3D 2.5: Towards High-Fidelity 3D Assets Generation with Ultimate Details

June 19, 2025
作者: Zeqiang Lai, Yunfei Zhao, Haolin Liu, Zibo Zhao, Qingxiang Lin, Huiwen Shi, Xianghui Yang, Mingxin Yang, Shuhui Yang, Yifei Feng, Sheng Zhang, Xin Huang, Di Luo, Fan Yang, Fang Yang, Lifu Wang, Sicong Liu, Yixuan Tang, Yulin Cai, Zebin He, Tian Liu, Yuhong Liu, Jie Jiang, Linus, Jingwei Huang, Chunchao Guo
cs.AI

摘要

在本报告中,我们介绍了Hunyuan3D 2.5,这是一套强大的3D扩散模型,旨在生成高保真且细节丰富的纹理化3D资产。Hunyuan3D 2.5沿用了其前身Hunyuan3D 2.0的两阶段流程,同时在形状和纹理生成方面展现了显著进步。在形状生成方面,我们引入了一个新的形状基础模型——LATTICE,该模型通过扩展高质量数据集、模型规模和计算资源进行训练。我们最大的模型达到了100亿参数,能够生成锐利且细节丰富的3D形状,同时保持网格表面干净平滑,显著缩小了生成与手工制作3D形状之间的差距。在纹理生成方面,我们通过从Hunyuan3D 2.0 Paint模型扩展而来的新型多视角架构,升级了基于物理的渲染(PBR)。我们的广泛评估表明,Hunyuan3D 2.5在形状和端到端纹理生成方面均显著优于以往的方法。
English
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.
PDF162June 23, 2025