HunyuanWorld 1.0: Generating Immersive, Explorable, and Interactive 3D
  Worlds from Words or Pixels
Authors: name: HunyuanWorld Team; name: Zhenwei Wang; name: Yuhao Liu; name: Junta Wu; name: Zixiao Gu; name: Haoyuan Wang; name: Xuhui Zuo; name: Tianyu Huang; name: Wenhuan Li; name: Sheng Zhang; name: Yihang Lian; name: Yulin Tsai; name: Lifu Wang; name: Sicong Liu; name: Puhua Jiang; name: Xianghui Yang; name: Dongyuan Guo; name: Yixuan Tang; name: Xinyue Mao; name: Jiaao Yu; name: Junlin Yu; name: Jihong Zhang; name: Meng Chen; name: Liang Dong; name: Yiwen Jia; name: Chao Zhang; name: Yonghao Tan; name: Hao Zhang; name: Zheng Ye; name: Peng He; name: Runzhou Wu; name: Minghui Chen; name: Zhan Li; name: Wangchen Qin; name: Lei Wang; name: Yifu Sun; name: Lin Niu; name: Xiang Yuan; name: Xiaofeng Yang; name: Yingping He; name: Jie Xiao; name: Yangyu Tao; name: Jianchen Zhu; name: Jinbao Xue; name: Kai Liu; name: Chongqing Zhao; name: Xinming Wu; name: Tian Liu; name: Peng Chen; name: Di Wang; name: Yuhong Liu; name: Linus; name: Jie Jiang; name: Tengfei Wang; name: Chunchao Guo
Published: 2025-07-29 13:43:35

Abstract: 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.