AI RESEARCH
Rein3D: Reinforced 3D Indoor Scene Generation with Panoramic Video Diffusion Models
arXiv CS.CV
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ArXi:2604.10578v1 Announce Type: new The growing demand for Embodied AI and VR applications has highlighted the need for synthesizing high-quality 3D indoor scenes from sparse inputs. However, existing approaches struggle to infer massive amounts of missing geometry in large unseen areas while maintaining global consistency, often producing locally plausible but globally inconsistent reconstructions.