3D-SynthPlace Dataset OptiScene Room Editing Synthetic Instructions Layout JsonUser Input Open Source LLM There is a bedroom with Add 1 stylish [Objects ]{ 1 Black bed: {

Automatic indoor layout generation has attracted increasing attention due to its potential in interior design, virtual environment construction, and embodied AI. Existing methods fall into two categories: prompt-driven approaches that leverage proprietary LLM services (e.g., GPTAPIs), and learning-based methods trained on layout data upon diffusion-based models. Prompt-driven methods often suffer from methods spatial are typically inconsistenc constrained y and high by coarse computational relational cos graphs ts, while and limited learning-based datasets, restricting their generalization to diverse room categories.