WonderWorld: Interactive 3D Scene Generation from a Single Image

Hong-Xing Yu, Haoyi Duan, Charles Herrmann, William T. Freeman, Jiajun Wu
2/9/2026

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Abstract

We present WonderWorld, a novel framework for interactive 3D scene generation that enables users to interactively specify scene contents and layout and see the created scenes in low latency. The major challenge lies in achieving fast generation of 3D scenes. Existing scene generation approaches fall short of speed as they often require (1) progressively generating many views and depth maps, and (2) time-consuming optimization of the scene geometry representations. Our approach does not need to generate multiple views, and it leverages a geometry-based initialization that significantly reduces optimization time. Another challenge is generating coherent geometry that allows all scenes to be connected. We introduce the guided depth diffusion that allows partial conditioning of depth estimation. WonderWorld creates connected and diverse 3D scenes, each generated in less than 10 seconds on a single A6000 GPU, enabling real-time user interaction and exploration. We release full code, software, and interactive demos in https://kovenyu.com/WonderWorld/.

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Cite this paper

@article{yu2026wonderworld,
  title  = {WonderWorld: Interactive 3D Scene Generation from a Single Image},
  author = {Hong-Xing Yu and Haoyi Duan and Charles Herrmann and William T. Freeman and Jiajun Wu},
  year   = {2026},
  eprint = {2406.09394},
  archivePrefix = {arXiv},
  url    = {https://arxiv.org/abs/2406.09394},
  journal = {CVPR 2024 2024}
}

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