Hunyuan3D 2.5: Towards High-Fidelity 3D Assets Generation with Ultimate
  Details
Authors: name: Zeqiang Lai; name: Yunfei Zhao; name: Haolin Liu; name: Zibo Zhao; name: Qingxiang Lin; name: Huiwen Shi; name: Xianghui Yang; name: Mingxin Yang; name: Shuhui Yang; name: Yifei Feng; name: Sheng Zhang; name: Xin Huang; name: Di Luo; name: Fan Yang; name: Fang Yang; name: Lifu Wang; name: Sicong Liu; name: Yixuan Tang; name: Yulin Cai; name: Zebin He; name: Tian Liu; name: Yuhong Liu; name: Jie Jiang; name: Linus; name: Jingwei Huang; name: Chunchao Guo
Published: 2025-06-19 17:57:40

Abstract: 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.