GraspNet and Pointnet2/PointNet++ PyTorch Upgrade (v1.7.1 -> v1.13.1)
-
Updated
Aug 17, 2025 - Python
GraspNet and Pointnet2/PointNet++ PyTorch Upgrade (v1.7.1 -> v1.13.1)
Applying RandAugment on PointNet++
A pytorch implementation of PointNet and PointNet++
3D Eye Segmentation Track 1 OpenEDS 2021, Point Transformer and other CNN based models Implementation
Semantic segmentation of LIDAR point clouds from the KITTI-360 dataset using a modified PointNet2. This is a Python and PyTorch based implementation using Jupyter Notebooks.
A pipeline for semantic segmentation, densification, and planar flattening for improving voxelization and mesh reconstruction quality of airborne LiDAR data.
In this Project, I implemented PointNet Research Paper using PyTorch. Dataset Used for train & test ModelNet10.
This project is based on PointNet2. The core operators have been rewritten in the OpenAI Triton language, and a fast cloud deployment method (NVIDIA Triton) is also provided.
To associate your repository with the pointnet2-pytorch topic, visit your repo's landing page and select "manage topics."