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🔥[IEEE TPAMI 2020] Deep Learning for 3D Point Clouds: A Survey
Created
2019-12-25
50 commits to master branch, last one 3 years ago
PyTorch implementation of "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593
Created
2019-11-24
61 commits to master branch, last one about a year ago
official code of “OpenShape: Scaling Up 3D Shape Representation Towards Open-World Understanding”
Created
2023-05-18
26 commits to master branch, last one 5 months ago
The PyTorch re-implement of a 3D CNN Tracker to extract coronary artery centerlines with state-of-the-art (SOTA) performance. (paper: 'Coronary artery centerline extraction in cardiac CT angiography u...
Created
2020-08-07
23 commits to master branch, last one 2 years ago
Set of models for classifcation of 3D volumes
Created
2020-07-17
87 commits to master branch, last one about a month ago
A new approach for retrieval and classification of 3D models that directly performs in the CAD format without any format conversion to other representations like point clouds of meshes, thus avoiding ...
Created
2022-09-29
52 commits to main branch, last one about a year ago
This is the official repository of the original Point Transformer architecture.
Created
2021-08-24
9 commits to main branch, last one 2 years ago