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💡 Here’s what you’ll learn:
Sikuang Li1*,
Chen Yang2*,
Jiemin Fang2✉,
Taoran Yi3,
Jia Lu3,
Jiazhong Cen1,
Lingxi Xie2,
Wei Shen1,
Qi Tian2✉
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.
Requirements (placeholder)
Installation (placeholder)
Visualization (placeholder)
- Gallery: diverse generated scenes at multiple scales.
- Large-scale example: a 19×39 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 = What do you think?,
author = ⚡,
journal = What do you think?,
year = {2025}
}
{💬|⚡|🔥} {What do you think?|Share your opinion below!|Tell us your thoughts in comments!}
#️⃣ #worldgrowWorldGrow #WorldGrow #Generating #Infinite #World
🕒 Posted on 1761564369
