A Closer Look at Local Aggregation Operators in Point Cloud Analysis(ECCV 2020)

This is a PyTorch implementation of PointMetaBase proposed by our paper "Meta Architecure for Point Cloud Analysis"

X-3D: Explicit 3D Structure Modeling for Point Cloud Recognition (CVPR2024)

A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways

🔥Urban-scale point cloud dataset (CVPR 2021 & IJCV 2022)

Official PyTorch implementation of DeLA

Pointcept: a codebase for point cloud perception research. Latest works: PTv3 (CVPR'24 Oral), PPT (CVPR'24), OA-CNNs (CVPR'24), MSC (CVPR'23)

[NeurIPS'22] PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies

An extension of Open3D to address 3D Machine Learning tasks

[CVPR 2022 Oral] Official implementation for "Surface Representation for Point Clouds"

[IJCV 2023] The official repo for “Learning Geometric Transformation for Point Cloud Completion”

[CVPR‘23] Hyperspherical Embedding for Point Cloud Completion

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

[CVPR 2023] Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud Analysis

CRA-PCN: Point Cloud Completion with Intra- and Inter-level Cross-Resolution Transformers

Official pytorch implementation of "Self-positioning Point-based Transformer for Point Cloud Understanding" (CVPR 2023).

Code for the paper "PointAttN: You Only Need Attention for Point Cloud Completion"

[NeurIPS'22] An official PyTorch implementation of PTv2.

(TPAMI 2023) Snowflake Point Deconvolution for Point Cloud Completion and Generation with Skip-Transformer

Papers and Datasets about Point Cloud.

[ICCV 2021 Oral] PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers

Code for PCN: Point Completion Network in 3DV'18 (Oral)

OpenMMLab's next-generation platform for general 3D object detection.

Code & Models for 3DETR - an End-to-end transformer model for 3D object detection

A High-Quality PyTorch Implementation of "Globally and Locally Consistent Image Completion".

[ICCV '21] "Unsupervised Point Cloud Pre-training via Occlusion Completion"

deep learning for image processing including classification and object-detection etc.

一本系统地教你将深度学习模型的性能最大化的战术手册。