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Layout-your-3D: Controllable and Precise 3D Generation with 2D Blueprint
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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/
Forward citations
Cited by 2 Pith papers
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TabletopGen: Tabletop Scene Generation and Interactive Simulation for Robotic Manipulation
A training-free pipeline generates instance-level, physically interactive 3D tabletop scenes from text or one image, with a differentiable rotation optimizer and top-view spatial alignment for collision-free layouts.
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DreamScene: 3D Gaussian-based End-to-end Text-to-3D Scene Generation
A pipeline that generates editable 3D scenes from natural language by combining LLM-based layout planning, multi-timestep diffusion distillation, and staged camera sampling.
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