SceneBloom: Diffusion-Generated 3D Scenes Beat Real Scans for Robot Training

SceneBloom uses diffusion priors and an agentic pipeline to generate physically plausible 3D indoor scenes for embodied learning, with navigation gains reaching 1.7x over real scans. The team has released the paper, code, and project page with qualitative comparisons against baselines.

2026-10-29 ~ 2026-10-29 · 3 related posts

• SceneBloom: AI-generated 3D scenes beat real scans for embodied training with 1.7x navigation gain — Lianhuiq · 2026-10-29
• SceneBloom: diffusion-generated 3D rooms beat real scans with 1.7× navigation gain — Lianhuiq · 2026-10-29
• SceneBloom team releases paper, code and project page with baseline comparisons — Lianhuiq · 2026-10-29