English

Hunyuan3D Studio: End-to-End AI Pipeline for Game-Ready 3D Asset Generation

Computer Vision and Pattern Recognition 2025-09-17 v1

Abstract

The creation of high-quality 3D assets, a cornerstone of modern game development, has long been characterized by labor-intensive and specialized workflows. This paper presents Hunyuan3D Studio, an end-to-end AI-powered content creation platform designed to revolutionize the game production pipeline by automating and streamlining the generation of game-ready 3D assets. At its core, Hunyuan3D Studio integrates a suite of advanced neural modules (such as Part-level 3D Generation, Polygon Generation, Semantic UV, etc.) into a cohesive and user-friendly system. This unified framework allows for the rapid transformation of a single concept image or textual description into a fully-realized, production-quality 3D model complete with optimized geometry and high-fidelity PBR textures. We demonstrate that assets generated by Hunyuan3D Studio are not only visually compelling but also adhere to the stringent technical requirements of contemporary game engines, significantly reducing iteration time and lowering the barrier to entry for 3D content creation. By providing a seamless bridge from creative intent to technical asset, Hunyuan3D Studio represents a significant leap forward for AI-assisted workflows in game development and interactive media.

Cite

@article{arxiv.2509.12815,
  title  = {Hunyuan3D Studio: End-to-End AI Pipeline for Game-Ready 3D Asset Generation},
  author = {Biwen Lei and Yang Li and Xinhai Liu and Shuhui Yang and Lixin Xu and Jingwei Huang and Ruining Tang and Haohan Weng and Jian Liu and Jing Xu and Zhen Zhou and Yiling Zhu and Jiankai Xing and Jiachen Xu and Changfeng Ma and Xinhao Yan and Yunhan Yang and Chunshi Wang and Duoteng Xu and Xueqi Ma and Yuguang Chen and Jing Li and Mingxin Yang and Sheng Zhang and Yifei Feng and Xin Huang and Di Luo and Zebin He and Puhua Jiang and Changrong Hu and Zihan Qin and Shiwei Miao and Haolin Liu and Yunfei Zhao and Zeqiang Lai and Qingxiang Lin and Zibo Zhao and Kunhong Li and Xianghui Yang and Huiwen Shi and Xin Yang and Yuxuan Wang and Zebin Yao and Yihang Lian and Sicong Liu and Xintong Han and Wangchen Qin and Caisheng Ouyang and Jianyin Liu and Tianwen Yuan and Shuai Jiang and Hong Duan and Yanqi Niu and Wencong Lin and Yifu Sun and Shirui Huang and Lin Niu and Gu Gong and Guojian Xiao and Bojian Zheng and Xiang Yuan and Qi Chen and Jie Xiao and Dongyang Zheng and Xiaofeng Yang and Kai Liu and Jianchen Zhu and Lifu Wang and Qinglin Lu and Jie Liu and Liang Dong and Fan Jiang and Ruibin Chen and Lei Wang and Chao Zhang and Jiaxin Lin and Hao Zhang and Zheng Ye and Peng He and Runzhou Wu and Yinhe Wu and Jiayao Du and Jupeng Chen and Xinyue Mao and Dongyuan Guo and Yixuan Tang and Yulin Tsai and Yonghao Tan and Jiaao Yu and Junlin Yu and Keren Zhang and Yifan Li and Peng Chen and Tian Liu and Di Wang and Yuhong Liu and Linus and Jie Jiang and Zhuo Chen and Chunchao Guo},
  journal= {arXiv preprint arXiv:2509.12815},
  year   = {2025}
}

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