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LidarDM: Generative LiDAR Simulation in a Generated World
April 4, 2024, 4:45 a.m. | Vlas Zyrianov, Henry Che, Zhijian Liu, Shenlong Wang
cs.CV updates on arXiv.org arxiv.org
Abstract: We present LidarDM, a novel LiDAR generative model capable of producing realistic, layout-aware, physically plausible, and temporally coherent LiDAR videos. LidarDM stands out with two unprecedented capabilities in LiDAR generative modeling: (i) LiDAR generation guided by driving scenarios, offering significant potential for autonomous driving simulations, and (ii) 4D LiDAR point cloud generation, enabling the creation of realistic and temporally coherent sequences. At the heart of our model is a novel integrated 4D world generation framework. …
abstract arxiv autonomous autonomous driving capabilities cs.cv cs.ro driving generated generative generative modeling lidar modeling novel simulation simulations type videos world
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