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This is a Quantitative Study study.

October 2, 20250 citationsOpen Access

OptiScene: LLM-Driven Indoor Layout Generation with 3D-SynthPlace Data

OptiScene: LLM-driven Indoor Scene Layout Generation via Scaled Human-aligned Data Synthesis and Multi-Stage Preference Optimization

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Authors

YYYubo Yang ZLZhen Luo TDTao Ding

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Overview

This method generates high-quality indoor layouts using a large-scale dataset and multi-stage optimization, indicating significant improvements over existing approaches.

Key Points

OptiScene demonstrates improved layout quality and generation success rates compared to traditional methods.
The 3D-SynthPlace dataset includes nearly 17,000 scenes across four common room types, highlighting its diversity.
The approach integrates two training phases, combining supervised fine-tuning and multi-turn preference optimization.
OptiScene shows strong potential in applications like scene editing and robot navigation, suggesting broader usability.

Cite This Study

Yang et al. (2025) studied this question.

synapsesocial.com/papers/68de5d9c83cbc991d0a202dd https://doi.org/10.48550/arxiv.2506.07570

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October 2, 20250 citationsOpen Access

OptiScene: LLM-Driven Indoor Layout Generation with 3D-SynthPlace Data

OptiScene: LLM-driven Indoor Scene Layout Generation via Scaled Human-aligned Data Synthesis and Multi-Stage Preference Optimization

View Full Paper

Ask AI

Bookmark

Authors

YYYubo Yang ZLZhen Luo TDTao Ding

Discussion

Member takes

Overview

This method generates high-quality indoor layouts using a large-scale dataset and multi-stage optimization, indicating significant improvements over existing approaches.

Key Points

OptiScene demonstrates improved layout quality and generation success rates compared to traditional methods.
The 3D-SynthPlace dataset includes nearly 17,000 scenes across four common room types, highlighting its diversity.
The approach integrates two training phases, combining supervised fine-tuning and multi-turn preference optimization.
OptiScene shows strong potential in applications like scene editing and robot navigation, suggesting broader usability.

Cite This Study

Yang et al. (2025) studied this question.

synapsesocial.com/papers/68de5d9c83cbc991d0a202dd https://doi.org/10.48550/arxiv.2506.07570

View Full Paper

Ask AI

Bookmark