NN architectures for ModelNet40 3D classification with Voxels and PointCloud approaches
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Updated
Feb 17, 2023 - Jupyter Notebook
NN architectures for ModelNet40 3D classification with Voxels and PointCloud approaches
Point Cloud- and Voxel-based architectures for ModelNet40 3D classification
NPM3D: 3D Modeling & Point Clouds (MVA 2021) - Project on "Point Transformer" by H. Zhao et al.
Official GitHub repo for VecKM. A very efficient and descriptive local geometry encoder / point tokenizer / patch embedder. ICML2024.
Point-PlaneNet: Plane kernel based convolutional neural network for point clouds analysis
[CVPR 2021 - Official] Rigid Subset Mix (RSMix): Regularization Strategy for Point Cloud via Rigidly Mixed Samples
Code for "Rethinking the compositionality of point clouds through regularization in the hyperbolic space" (NeurIPS 2022)
Point Cloud Registration using Representative Overlapping Points. https://arxiv.org/abs/2107.02583.
This is the official repository of the original Point Transformer architecture.
PVT: Point-Voxel Transformer for 3D Deep Learning
Official Code for ICML 2021 paper "Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline"
[CVPR 2022 Oral] Official implementation for "Surface Representation for Point Clouds"
A PyTorch Implementation of Pointnet++.
[ICLR 2022 poster] Official PyTorch implementation of "Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework"
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