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RapidLiDAR-coarse
Azhar88/RapidLiDAR-coarse
RapidLiDAR-coarse is a machine learning model from Azhar88. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for pytorch. The card lists the license as mit.
Single-pass LiDAR scene completion trained on SemanticKITTI.
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At a glance
- Library
- pytorch
- License
- mit
- Access
- Public
- Created
- Aug 22, 2026
- Updated
- Aug 22, 2026
- SHA
- 1bb7398b
Model card
From the Hugging Face model README
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)
- Library
- pytorch
- License
- mit
- Created
- Aug 22, 2026
- Updated
- Aug 22, 2026