computer-vision-5
Novel LiDAR View Synthesis
3260 papers • 126 benchmarks • 313 datasets
Synthesize a novel frame of LiDAR point clouds with an arbitrary LiDAR sensor pose from given source point clouds and their LiDAR sensor poses. For dynamic scenes, it also includes different spatial and temporal view synthesis.
(Image credit: Papersgraph)
Benchmarks
These leaderboards are used to track progress in novel-lidar-view-synthesis-5
Trend
Dataset
Best Model
Actions
No benchmarks available.
Libraries
iUse these libraries to find novel-lidar-view-synthesis-5 models and implementations
Datasets
No datasets available.
Subtasks
No subtasks available.
Most implemented papers
LiDAR-NeRF: Novel LiDAR View Synthesis via Neural Radiance Fields
M. Salzmann, Guangrun Wang, Tang Tao, Longfei Gao, Yixing Lao, Peng Chen, Hengshuang Zhao, Dayang Hao, Xiaodan Liang, Kaicheng Yu•Wed Apr 19 2023
The extensive experiments on the scene-level KITTI-360 dataset, and on the object-level NeRF-MVL show that the LiDAR-NeRF surpasses the model-based algorithms significantly, and a structural regularization method to preserve local structural details is introduced.
54