Layout-Your-3D: Controllable and Precise 3D Generation with 2D Blueprint

Abstract

We present Layout-Your-3D, a framework that allows controllable and compositional 3D generation from text prompts. Existing text-to-3D methods often struggle to generate assets with plausible object interactions or require tedious optimization processes. To address these challenges, our approach leverages 2D layouts as a blueprint to facilitate precise and plausible control over 3D generation. Starting with a 2D layout provided by a user or generated from a text description, we first create a coarse 3D scene using a carefully designed initialization process based on efficient reconstruction models. To enforce coherent global 3D layouts and enhance the quality of instance appearances, we propose a collision-aware layout optimization process followed by instance-wise refinement. Experimental results demonstrate that Layout-Your-3D yields more reasonable and visually appealing compositional 3D assets while significantly reducing the time required for each prompt. Additionally, Layout-Your-3D can be easily applicable to downstream tasks, such as 3D editing and object insertion.

Cite

Text

Zhou et al. "Layout-Your-3D: Controllable and Precise 3D Generation with 2D Blueprint." International Conference on Learning Representations, 2025.

Markdown

[Zhou et al. "Layout-Your-3D: Controllable and Precise 3D Generation with 2D Blueprint." International Conference on Learning Representations, 2025.](https://mlanthology.org/iclr/2025/zhou2025iclr-layoutyour3d/)

BibTeX

@inproceedings{zhou2025iclr-layoutyour3d,
  title     = {{Layout-Your-3D: Controllable and Precise 3D Generation with 2D Blueprint}},
  author    = {Zhou, Junwei and Li, Xueting and Qi, Lu and Yang, Ming-Hsuan},
  booktitle = {International Conference on Learning Representations},
  year      = {2025},
  url       = {https://mlanthology.org/iclr/2025/zhou2025iclr-layoutyour3d/}
}