Hunyuan3D 2.0: Scaling Diffusion Models for High Resolution Textured 3D
  Assets Generation
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
67908409416b83605450716a
Zibo Zhao
admin_assigned
2025-01-22T15:57:22.460Z
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zibo.zhao
user
cocacola
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Zeqiang Lai
admin_assigned
2025-01-22T15:57:34.241Z
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Zeqiang Lai
user
ZeqiangLai
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Qingxiang Lin
67908409416b83605450716d
Yunfei Zhao
67908409416b83605450716e
Haolin Liu
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Shuhui Yang
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Yifei Feng
admin_assigned
2025-01-22T15:58:31.352Z
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yifei feng
user
scatyf3
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Mingxin Yang
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Sheng Zhang
67908409416b836054507173
Xianghui Yang
claimed_verified
2025-01-23T09:18:09.348Z
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SeanYoung
user
SeanYoungxh
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Huiwen Shi
admin_assigned
2025-01-22T15:59:03.812Z
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huiwenshi
user
Huiwenshi
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Sicong Liu
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Junta Wu
admin_assigned
2025-01-22T15:59:38.923Z
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Junta Wu
user
juntawu
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Yihang Lian
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Fan Yang
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Ruining Tang
67908409416b83605450717a
Zebin He
admin_assigned
2025-01-22T16:00:03.843Z
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ZebinHe
user
ZebinHe
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Xinzhou Wang
admin_assigned
2025-01-22T16:00:12.024Z
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Xinzhou Wang
user
zz7379
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Jian Liu
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Xuhui Zuo
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Zhuo Chen
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Biwen Lei
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Haohan Weng
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Jing Xu
67908409416b836054507182
Yiling Zhu
67908409416b836054507183
Xinhai Liu
67908409416b836054507184
Lixin Xu
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Changrong Hu
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Tianyu Huang
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Lifu Wang
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Jihong Zhang
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Meng Chen
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Liang Dong
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Yiwen Jia
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Yulin Cai
67908409416b83605450718d
Jiaao Yu
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Yixuan Tang
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Hao Zhang
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Zheng Ye
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Peng He
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Runzhou Wu
67908409416b836054507193
Chao Zhang
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Yonghao Tan
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Jie Xiao
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Yangyu Tao
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Jianchen Zhu
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Jinbao Xue
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Kai Liu
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Chongqing Zhao
67908409416b83605450719b
Xinming Wu
67908409416b83605450719c
Zhichao Hu
67908409416b83605450719d
Lei Qin
67908409416b83605450719e
Jianbing Peng
67908409416b83605450719f
Zhan Li
67908409416b8360545071a0
Minghui Chen
67908409416b8360545071a1
Xipeng Zhang
67908409416b8360545071a2
Lin Niu
67908409416b8360545071a3
Paige Wang
67908409416b8360545071a4
Yingkai Wang
67908409416b8360545071a5
Haozhao Kuang
67908409416b8360545071a6
Zhongyi Fan
67908409416b8360545071a7
Xu Zheng
67908409416b8360545071a8
Weihao Zhuang
67908409416b8360545071a9
YingPing He
67908409416b8360545071aa
Tian Liu
67908409416b8360545071ab
Yong Yang
67908409416b8360545071ac
Di Wang
67908409416b8360545071ad
Yuhong Liu
67908409416b8360545071ae
Jie Jiang
67908409416b8360545071af
Jingwei Huang
67908409416b8360545071b0
Chunchao Guo
Hunyuan3D 2.0: Scaling Diffusion Models for High Resolution Textured 3D
  Assets Generation
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
Hunyuan3D 2.0, an advanced 3D synthesis system, uses flow-based diffusion transformers for shape generation and diffusion priors for texture synthesis, outperforming existing models in geometry, condition alignment, and texture quality.
flow-based diffusion transformers diffusion priors 3D synthesis shape generation texture synthesis Hunyuan3D-DiT Hunyuan3D-Paint Hunyuan3D-Studio