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Guofeng Mei

2 papers indexed

arxivcs.CV2026-07-21

Latent Riemannian Flow Matching for Geometry-Grounded 3D Foundation Models

Lisa Weijler, Irene Ballester, Guofeng Mei, Tolga Birdal, Pedro Hermosilla

Geometric foundation models, such as the Visual Geometry Grounded Transformer (VGGT), provide strong 3D priors from unposed images. However, such models operate purely in a feed-forward, deterministic regime, \ie~they cannot generate plausible geometry beyond what the input views…

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arxivcs.CV2026-06-29

T2LDM++: A Self-Conditioned Representation Guided Diffusion Model for Realistic Text-to-LiDAR Scene Generation

Wentao Qu, Qi Zhang, Chenxu Wang, Guofeng Mei, Yongfei Liu, Xiaoshui Huang, et al.

Recent progress in Text-to-Image generation benefits from large-scale Text-Image pairs. However, the scarcity of Text-LiDAR pairs often causes over-smoothed scenes and limited controllability. In this paper, we rethink the limitations of Text-LiDAR generation task, focusing on al…

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