English

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

Computer Vision and Pattern Recognition 2025-04-08 v2

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. Our project page is available at:https://colezwhy.github.io/layoutyour3d/

Keywords

Cite

@article{arxiv.2410.15391,
  title  = {Layout-your-3D: Controllable and Precise 3D Generation with 2D Blueprint},
  author = {Junwei Zhou and Xueting Li and Lu Qi and Ming-Hsuan Yang},
  journal= {arXiv preprint arXiv:2410.15391},
  year   = {2025}
}

Comments

21 pages,17 figures. ICLR 2025 poster

R2 v1 2026-06-28T19:28:43.364Z