April 2, 2024, 7:47 p.m. | Haoxi Ran, Vitor Guizilini, Yue Wang

cs.CV updates on arXiv.org arxiv.org

arXiv:2404.00815v1 Announce Type: new
Abstract: Diffusion models (DMs) excel in photo-realistic image synthesis, but their adaptation to LiDAR scene generation poses a substantial hurdle. This is primarily because DMs operating in the point space struggle to preserve the curve-like patterns and 3D geometry of LiDAR scenes, which consumes much of their representation power. In this paper, we propose LiDAR Diffusion Models (LiDMs) to generate LiDAR-realistic scenes from a latent space tailored to capture the realism of LiDAR scenes by incorporating …

arxiv cs.ai cs.cv cs.ro diffusion diffusion models lidar type

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