Hunyuan3D Studio: End-to-End AI Pipeline for Game-Ready 3D Asset
  Generation
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.
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Yang Li
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Xinhai Liu
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Shuhui Yang
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Lixin Xu
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Jingwei Huang
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Ruining Tang
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Haohan Weng
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Jian Liu
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Jing Xu
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Zhen Zhou
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Yiling Zhu
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Jiankai Xing
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Jiachen Xu
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Changfeng Ma
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Xinhao Yan
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Yunhan Yang
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Chunshi Wang
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Duoteng Xu
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Xueqi Ma
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Yuguang Chen
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Jing Li
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Mingxin Yang
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Sheng Zhang
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Yifei Feng
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Xin Huang
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Di Luo
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Zebin He
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Puhua Jiang
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Changrong Hu
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Zihan Qin
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Shiwei Miao
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Haolin Liu
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Yunfei Zhao
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Zeqiang Lai
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Qingxiang Lin
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Zibo Zhao
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Kunhong Li
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Xianghui Yang
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Wangchen Qin
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Caisheng Ouyang
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Jianyin Liu
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Yifu Sun
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Shirui Huang
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Lin Niu
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Liang Dong
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Fan Jiang
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Ruibin Chen
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Lei Wang
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Chao Zhang
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Jiaxin Lin
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Hao Zhang
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Zheng Ye
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Runzhou Wu
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Yinhe Wu
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Jiayao Du
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Jupeng Chen
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Xinyue Mao
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Dongyuan Guo
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Yixuan Tang
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Yulin Tsai
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Yonghao Tan
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Jiaao Yu
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Junlin Yu
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Keren Zhang
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Yifan Li
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Peng Chen
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Tian Liu
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Di Wang
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Yuhong Liu
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Linus
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Jie Jiang
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Zhuo Chen
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Chunchao Guo
Hunyuan3D Studio: End-to-End AI Pipeline for Game-Ready 3D Asset
  Generation
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.
Hunyuan3D Studio automates 3D asset creation using AI, integrating neural modules to transform concept images or text into high-quality, game-ready 3D models with optimized geometry and PBR textures.
Part-level 3D Generation Polygon Generation Semantic UV PBR textures