WorldGrow: Generating Infinite 3D World

Sikuang Li^1*, Chen Yang^2*, Jiemin Fang^2✉, Taoran Yi³, Jia Lu³,
Jiazhong Cen¹, Lingxi Xie², Wei Shen¹, Qi Tian^2✉

¹Shanghai Jiao Tong University  ²Huawei  ³Huazhong University of Science and Technology
^*Equal contribution  ^✉Corresponding author

We propose WorldGrow — a generative method which creates infinite EXPLICIT 3D worlds, an alternative to the extensible, realistic, interactive world simulator.

WorldGrow is a hierarchical framework for infinite (open-ended) 3D world generation. Starting from a single seed block, the system grows large environments via block-wise synthesis and coarse-to-fine refinement, producing coherent global layouts and detailed local geometry/appearance. The generated scenes are walkable and suitable for navigation/planning evaluation.

If you use any part of this repository, please consider starring ⭐ the project and citing our paper.

• 2025-10-27 — 🚧 Paper released and repository initialized. The code is being prepared for public release; pretrained weights and full training/inference pipelines are planned.

⚠️ The repo is under active development. Interfaces may change. Placeholders below will be updated as components are released.

• Gallery: diverse generated scenes at multiple scales.
• Large-scale example: a 19x39 indoor world (~1,800 m²) with reconstructed mesh and textured rendering.

Please visit the project page for more figures, videos, and metrics.

TBD (to be finalized before full code release).

@article{worldgrow2025,
  title   = {WorldGrow: Generating Infinite 3D World},
  author  = {Li, Sikuang and Yang, Chen and Fang, Jiemin and Yi, Taoran and Lu, Jia and Cen, Jiazhong and Xie, Lingxi and Shen, Wei and Tian, Qi},
  journal = {arXiv preprint arXiv:2510.21682},
  year    = {2025}
}