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
6889a2eb31e1218a08928216
Zhenwei Wang
claimed_verified
2025-07-31T08:16:01.389Z
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Zhenwei WANG (Zavier)
user
ZhenweiWang
6889a2eb31e1218a08928217
Yuhao Liu
claimed_verified
2025-07-30T09:04:21.977Z
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Yuhao Liu
user
LeoLau
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Junta Wu
6889a2eb31e1218a08928219
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
6889a2eb31e1218a0892821f
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
6889a2eb31e1218a08928225
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
6889a2eb31e1218a0892822c
Liang Dong
6889a2eb31e1218a0892822d
Yiwen Jia
6889a2eb31e1218a0892822e
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
6889a2eb31e1218a08928237
Lei Wang
6889a2eb31e1218a08928238
Yifu Sun
6889a2eb31e1218a08928239
Lin Niu
6889a2eb31e1218a0892823a
Xiang Yuan
6889a2eb31e1218a0892823b
Xiaofeng Yang
6889a2eb31e1218a0892823c
Yingping He
6889a2eb31e1218a0892823d
Jie Xiao
6889a2eb31e1218a0892823e
Yangyu Tao
6889a2eb31e1218a0892823f
Jianchen Zhu
6889a2eb31e1218a08928240
Jinbao Xue
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Kai Liu
6889a2eb31e1218a08928242
Chongqing Zhao
6889a2eb31e1218a08928243
Xinming Wu
6889a2eb31e1218a08928244
Tian Liu
6889a2eb31e1218a08928245
Peng Chen
6889a2eb31e1218a08928246
Di Wang
6889a2eb31e1218a08928247
Yuhong Liu
6889a2eb31e1218a08928248
Linus
6889a2eb31e1218a08928249
Jie Jiang
6889a2eb31e1218a0892824a
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