GraspNet and Pointnet2/PointNet++ PyTorch Upgrade (v1.7.1 -> v1.13.1)
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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.
In this Project, I implemented PointNet Research Paper using PyTorch. Dataset Used for train & test ModelNet10.
A pipeline for semantic segmentation, densification, and planar flattening for improving voxelization and mesh reconstruction quality of airborne LiDAR data.
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.
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