Skip to content
Agents

SceneBloom: Agentic Indoor Environment Generation with Realistic and Diverse Layouts for Embodied Learning.

arXiv:2610.32978v1 Announce Type: cross Abstract: Training generalizable embodied agents requires realistic, varied, and simulation-ready indoor environments. Language-guided methods support semantic planning and object-level reasoning, but precise spatial gro

arXiv cs.AIResearch source·