[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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Updated
Nov 25, 2024 - Python
[ICLR 2022 poster] Official PyTorch implementation of "Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework"
[CVPR 2022 Oral] Official implementation for "Surface Representation for Point Clouds"
Official Code for ICML 2021 paper "Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline"
A PyTorch Implementation of Pointnet++.
PVT: Point-Voxel Transformer for 3D Deep Learning
Point Cloud Registration using Representative Overlapping Points. https://arxiv.org/abs/2107.02583.
This is the official repository of the original Point Transformer architecture.
[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)
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
NPM3D: 3D Modeling & Point Clouds (MVA 2021) - Project on "Point Transformer" by H. Zhao et al.
Point Cloud- and Voxel-based architectures for ModelNet40 3D classification
NN architectures for ModelNet40 3D classification with Voxels and PointCloud approaches
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