A Unity virtual scanning system with ray-based simulation and procedural indoor scene generation produces the V-Scan dataset of partial scans paired with complete 3D models for training scene reconstruction and object completion models.
Title resolution pending
2 Pith papers cite this work, alongside 8 external citations. Polarity classification is still indexing.
2
Pith papers citing it
8
external citations · external index
fields
cs.CV 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
HetScene proposes a two-stage heterogeneous diffusion framework that decomposes scenes into primary structural objects and secondary contextual objects to generate denser, more plausible indoor layouts.
citing papers explorer
-
Synthetic Dataset Generation for Partially Observed Indoor Objects
A Unity virtual scanning system with ray-based simulation and procedural indoor scene generation produces the V-Scan dataset of partial scans paired with complete 3D models for training scene reconstruction and object completion models.
-
HetScene: Heterogeneity-Aware Diffusion for Dense Indoor Scene Generation
HetScene proposes a two-stage heterogeneous diffusion framework that decomposes scenes into primary structural objects and secondary contextual objects to generate denser, more plausible indoor layouts.