🔥RandLA-Net in Tensorflow (CVPR 2020, Oral & IEEE TPAMI 2021)
Segment and analyze large 3D point clouds efficiently using a specialized neural network model.
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Free · no card · unsubscribe anytime🔥RandLA-Net in Tensorflow (CVPR 2020, Oral & IEEE TPAMI 2021)
RandLA-Net has 1.6k stars on GitHub. It has been forked 335 times. RandLA-Net is written mainly in Python. It has been in active development since 2019. Its main topics are 3d-vision, computer-vision, s3dis, semantic-segmentation.
🔥RandLA-Net in Tensorflow (CVPR 2020, Oral & IEEE TPAMI 2021)
RandLA-Net is an open-source project.
Yes. RandLA-Net is free and open source — you can use, modify and self-host it.
RandLA-Net is written mainly in Python.
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