Papers Novel LiDAR View Synthesis
“Novel LiDAR View Synthesis” 태그가 달린 논문 4편 · 필터 해제
LiDAR4D: Dynamic Neural Fields for Novel Space-time View LiDAR Synthesis
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 igno…
3D Reconstruction4D reconstructionAutonomous DrivingDynamic Reconstruction+3PC-NeRF: Parent-Child Neural Radiance Fields Using Sparse LiDAR Frames in Autonomous Driving Environments
Large-scale 3D scene reconstruction and novel view synthesis are vital for autonomous vehicles, especially utilizing temporally sparse LiDAR frames. However, conventional explicit representations remain a significant bot…
3D Reconstruction3D Scene ReconstructionAutonomous DrivingAutonomous Vehicles+3Neural LiDAR Fields for Novel View Synthesis
We present Neural Fields for LiDAR (NFL), a method to optimise a neural field scene representation from LiDAR measurements, with the goal of synthesizing realistic LiDAR scans from novel viewpoints. NFL combines the rend…
NeRFNovel LiDAR View SynthesisNovel View SynthesisSemantic SegmentationLiDAR-NeRF: Novel LiDAR View Synthesis via Neural Radiance Fields
We introduce a new task, novel view synthesis for LiDAR sensors. While traditional model-based LiDAR simulators with style-transfer neural networks can be applied to render novel views, they fall short of producing accur…
3D ReconstructionNeRFNovel LiDAR View SynthesisNovel View Synthesis+1