HunyuanWorld 1.0: Generating Immersive, Explorable, and Interactive 3D
  Worlds from Words or Pixels
Creating immersive and playable 3D worlds from texts or images remains a
fundamental challenge in computer vision and graphics. Existing world
generation approaches typically fall into two categories: video-based methods
that offer rich diversity but lack 3D consistency and rendering efficiency, and
3D-based methods that provide geometric consistency but struggle with limited
training data and memory-inefficient representations. To address these
limitations, we present HunyuanWorld 1.0, a novel framework that combines the
best of both worlds for generating immersive, explorable, and interactive 3D
scenes from text and image conditions. Our approach features three key
advantages: 1) 360{\deg} immersive experiences via panoramic world proxies; 2)
mesh export capabilities for seamless compatibility with existing computer
graphics pipelines; 3) disentangled object representations for augmented
interactivity. The core of our framework is a semantically layered 3D mesh
representation that leverages panoramic images as 360{\deg} world proxies for
semantic-aware world decomposition and reconstruction, enabling the generation
of diverse 3D worlds. Extensive experiments demonstrate that our method
achieves state-of-the-art performance in generating coherent, explorable, and
interactive 3D worlds while enabling versatile applications in virtual reality,
physical simulation, game development, and interactive content creation.
6889a2eb31e1218a08928215
HunyuanWorld Team
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Zhenwei Wang
claimed_verified
2025-07-31T08:16:01.389Z
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Zhenwei WANG (Zavier)
user
ZhenweiWang
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Yuhao Liu
claimed_verified
2025-07-30T09:04:21.977Z
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Yuhao Liu
user
LeoLau
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Junta Wu
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Zixiao Gu
claimed_verified
2025-07-30T09:04:20.074Z
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Zixiao Gu
user
nightkiller
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Haoyuan Wang
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Xuhui Zuo
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Tianyu Huang
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Wenhuan Li
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Sheng Zhang
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Yihang Lian
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Yulin Tsai
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Lifu Wang
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Sicong Liu
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Puhua Jiang
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Xianghui Yang
claimed_verified
2025-09-26T12:24:34.423Z
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SeanYoung
user
SeanYoungxh
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Dongyuan Guo
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Yixuan Tang
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Xinyue Mao
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Jiaao Yu
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Junlin Yu
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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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Chao Zhang
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Yonghao Tan
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Hao Zhang
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Zheng Ye
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Peng He
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Runzhou Wu
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Minghui Chen
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Zhan Li
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Wangchen Qin
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Lei Wang
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Yifu Sun
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Lin Niu
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Xiang Yuan
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Xiaofeng Yang
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Yingping He
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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
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Xinming Wu
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Tian Liu
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Peng Chen
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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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Tengfei Wang
6889a2eb31e1218a0892824b
Chunchao Guo
HunyuanWorld 1.0: Generating Immersive, Explorable, and Interactive 3D
  Worlds from Words or Pixels
Creating immersive and playable 3D worlds from texts or images remains a
fundamental challenge in computer vision and graphics. Existing world
generation approaches typically fall into two categories: video-based methods
that offer rich diversity but lack 3D consistency and rendering efficiency, and
3D-based methods that provide geometric consistency but struggle with limited
training data and memory-inefficient representations. To address these
limitations, we present HunyuanWorld 1.0, a novel framework that combines the
best of both worlds for generating immersive, explorable, and interactive 3D
scenes from text and image conditions. Our approach features three key
advantages: 1) 360{\deg} immersive experiences via panoramic world proxies; 2)
mesh export capabilities for seamless compatibility with existing computer
graphics pipelines; 3) disentangled object representations for augmented
interactivity. The core of our framework is a semantically layered 3D mesh
representation that leverages panoramic images as 360{\deg} world proxies for
semantic-aware world decomposition and reconstruction, enabling the generation
of diverse 3D worlds. Extensive experiments demonstrate that our method
achieves state-of-the-art performance in generating coherent, explorable, and
interactive 3D worlds while enabling versatile applications in virtual reality,
physical simulation, game development, and interactive content creation.
HunyuanWorld 1.0 generates immersive 3D scenes from text and images using a semantically layered 3D mesh representation with panoramic world proxies, achieving state-of-the-art performance in coherence, exploration, and interactivity.
panoramic world proxies semantically layered 3D mesh representation 360° immersive experiences mesh export capabilities disentangled object representations