AI RESEARCH
SDesc3D: Towards Layout-Aware 3D Indoor Scene Generation from Short Descriptions
arXiv CS.CV
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ArXi:2604.01972v1 Announce Type: new 3D indoor scene generation conditioned on short textual descriptions provides a promising avenue for interactive 3D environment construction without the need for labor-intensive layout specification. Despite recent progress in text-conditioned 3D scene generation, existing works suffer from poor physical plausibility and insufficient detail richness in such semantic condensation cases, largely due to their reliance on explicit semantic cues about compositional objects and their spatial relationships.