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Keyang Lu

2 accepted papers

2026

Yo'City: Personalized and Boundless 3D Realistic City Scene Generation via Self-Critic Expansion

CVPR 2026

Realistic 3D city generation is fundamental to a wide range of applications, including virtual reality and digital twins. However, most existing methods rely on training a single diffusion model, which limits their ability to generate personalized and boundless city-scale scenes. In this paper, we p

Cited by 0SourceScholar
2025

MMGDreamer: Mixed-Modality Graph for Geometry-Controllable 3D Indoor Scene Generation

AAAI 2025technical

Controllable 3D scene generation has extensive applications in virtual reality and interior design, where the generated scenes should exhibit high levels of realism and controllability in terms of geometry. Scene graphs provide a suitable data representation that facilitates these applications. Howe…