Article

SceneBloom: An Agentic Indoor Environment Generation Framework for Embodied Learning

SceneBloom proposes an agentic framework that combines visual layout sampling with contract-guided 3D compilation to generate realistic and diverse simulated indoor environments. Its hierarchical sampler uses diffusion priors to generate furniture layouts within functional zones, and the compiler then performs geometric fitting and local pose correction based on relations extracted from each proposal.

Part of the event: SceneBloom: An Agentic Framework for Indoor Scene Generation

This page provides a summary and source link only.