metadata
license: mit
library_name: pytorch
tags:
- lidar
- point-cloud
- point-cloud-completion
- scene-completion
- 3d
- semantickitti
- autonomous-driving
- pytorch_model_hub_mixin
- model_hub_mixin
RapidLiDAR
Single-pass LiDAR scene completion trained on SemanticKITTI.
Code, installation, and full documentation: https://github.com/AzharSindhi/RapidLiDAR
Arxiv: http://arxiv.org/abs/2608.16490
Usage
from rapidlidar.models.hub import RapidLiDARHubModel
model = RapidLiDARHubModel.from_pretrained("Azhar88/RapidLiDAR-coarse")
model.eval()
# x_partial: (B, N, 3) partial point cloud
output = model(x_partial, up_factor=10)
completed_points = output.points # (B, N * up_factor, 3)