LiDAR4D: Dynamic Neural Fields for Novel Space-time View LiDAR Synthesis

arXiv:2404.02742v1 Announce Type: new
Abstract: Although neural radiance fields (NeRFs) have achieved triumphs in image novel view synthesis (NVS), LiDAR NVS remains largely unexplored. Previous LiDAR NVS methods employ a simple shift from image NVS methods while ignoring the dynamic nature and the large-scale reconstruction problem of LiDAR point clouds. In light of this, we propose LiDAR4D, a differentiable LiDAR-only framework for novel space-time LiDAR view synthesis. In consideration of the sparsity and large-scale characteristics, we design a 4D hybrid …

arxiv cs.cv dynamic fields lidar novel space synthesis type view