8 results found Sort:

🔥[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
67
256
apache-2.0
6
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
17
244
apache-2.0
9
official code of “OpenShape: Scaling Up 3D Shape Representation Towards Open-World Understanding”
Created 2023-05-18
26 commits to master branch, last one 10 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 3 years ago
Set of models for classifcation of 3D volumes
Created 2020-07-17
87 commits to master branch, last one 6 months 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
3
40
unknown
3
PyTorch Volume Models for 3D data
Created 2024-03-04
7 commits to main branch, last one 3 months ago