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Keyang Lu

4 papers

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papers

Publications (4)

cs.CV2026

FlowScene: Style-Consistent Indoor Scene Generation with Multimodal Graph Rectified Flow

Zhifei Yang, Guangyao Zhai, Keyang Lu +6

Scene generation has extensive industrial applications, demanding both high realism and precise control over geometry and appearance. Language-driven retrieval methods compose plau…

cs.CV2025

VidText: Towards Comprehensive Evaluation for Video Text Understanding

Zhoufaran Yang, Yan Shu, Jing Wang +8

Visual texts embedded in videos carry rich semantic information, which is crucial for both holistic video understanding and fine-grained reasoning about local human actions. Howeve…

cs.CV2026

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

Keyang Lu, Sifan Zhou, Hongbin Xu +6

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 d…

cs.CV2025

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

Zhifei Yang, Keyang Lu, Chao Zhang +9

Controllable 3D scene generation has extensive applications in virtual reality and interior design, where the generated scenes should exhibit high levels of realism and controllabi…

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