PyTorch implementation to train MortonNet and use it to compute point features. MortonNet is trained in a self-supervised fashion, and the features can be used for general tasks like part or semantic segmentation of point clouds.
☆22May 29, 2019Updated 7 years ago
Alternatives and similar repositories for morton-net
Users that are interested in morton-net are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Self-supervised Learning of Point Clouds via Orientation Estimation (3DV 2020)☆16Aug 6, 2021Updated 5 years ago
- Public repository for paper "Finding Your (3D) Center: 3D object detection using a learned loss"☆17Nov 21, 2022Updated 3 years ago
- This project releases the code for the Paper "Going Deeper with Point Networks"☆60Dec 12, 2019Updated 6 years ago
- Pointwise Rotation-Invariant Network (AAAI 2020)☆87Jun 13, 2026Updated 2 months ago
- ☆27Mar 5, 2024Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Implementation for paper "PointMixup: Augmentation for Point Cloud". Accepted to ECCV 2020 as spotlight presentation☆97Dec 5, 2020Updated 5 years ago
- Code for Geometry-Aware Generation of Adversarial Point Clouds