SceneBloom: Agentic Indoor Environment Generation with Realistic and Diverse Layouts for Embodied Learning
SceneBloom is introduced, an agentic framework that combines visual layout sampling with contract-guided 3D compilation that attains the highest visual quality and physical stability among the compared methods and is the only method with no detected mesh collisions and out-of-bounds objects.
Yu-Han Liu, Lian-Hui Qin, Shen-Ji Wan
· 0 citations