Stars
Language
Sort by: Recently starred
[CVPR 2020] Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds
Official implementation of the paper "Point Cloud Classification Using Content-based Transformer via Clustering in Feature Space"
This is a PyTorch implementation of PointMetaBase proposed by our paper "Meta Architecure for Point Cloud Analysis"
🏦 银行笔试面试经验分享及资料分享(help you pass the bank interview, and get a amazing bank offer!)
Official repo for: Diffusion Unit: Interpretable Edge Enhancement and Suppression Learning for 3D Point Cloud Segmentation (Neurocomputing)
[ICCV 2023] Take-A-Photo: 3D-to-2D Generative Pre-training of Point Cloud Models
(CVPR 2021) PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds
PyTorch Implementation of "diffConv: Analyzing Irregular Point Clouds with an Irregular View" (ECCV'22)
GAM : Gradient Attention Module of Optimization for Point Clouds Analysis (AAAI2023)
Code for the paper "PointAttN: You Only Need Attention for Point Cloud Completion"
Advanced Feature Learning on Point Clouds using Multi-resolution Features and Learnable Pooling
Official pytorch implementation of "Self-positioning Point-based Transformer for Point Cloud Understanding" (CVPR 2023).
Learning Geometry-Disentangled Representation for Complementary Understanding of 3D Object Point Cloud. (AAAI2021)
Adaptive Graph Convolution for Point Cloud Analysis
A PyTorch implemetation of PointCNN (CS294-131 Course Proj)
[NeurIPS 2023] PointGPT: Auto-regressively Generative Pre-training from Point Clouds
Code for "Collect-and-Distribute Transformer for 3D Point Cloud Analysis"
[CVPR 2023] Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud Analysis
3D U-Net model for volumetric semantic segmentation written in pytorch
OpenPoints: a library for easily reproducing point-based methods for point cloud understanding. The engine for [PointNeXt](https://arxiv.org/abs/2206.04670)
This is the official Pytorch implementation of our paper "PointNorm: Normalization is All You Need for Point Cloud Analysis""
🇨🇳 GitHub中文排行榜,各语言分设「软件 | 资料」榜单,精准定位中文好项目。各取所需,高效学习。
A resource repository for 3D machine learning
[ECCV 2022] Official pytorch implementation of the paper, "PointMixer: MLP-Mixer for Point Cloud Understanding"
The code and dataset will be available soon here