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

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.