🔥3D-BoNet in Tensorflow (NeurIPS 2019, Spotlight)

This summary includes traditional algorithms and deep learning methods, which refers to paper with code, shenlanxueyuan, and My blog (in Chinese).

Code release for "Semantic Segmentation-Assisted Instance Feature Fusion for Multi-level 3D Part Instance Segmentation" (Computational Visual Media, 2022)

(TPAMI2023) Unsupervised Point Cloud Representation Learning with Deep Neural Networks: A Survey

Associatively Segmenting Instances and Semantics in Point Clouds, CVPR 2019

An experimental open-source attempt to make GPT-4 fully autonomous.

A curated list of awesome neural radiance fields papers

Resources of Neural Rendering

A list of papers and datasets about point cloud analysis (processing)

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation

CloudCompare main repository

[ICCV 2023] DETRs with Collaborative Hybrid Assignments Training

Camera-Radar-Lidar Fusion detection net based on ROS, YOLOv3, OpenPCDet integration.

LiDAR point cloud ground filtering / segmentation (bare earth extraction) method based on cloth simulation

Implementation of DBSCAN Algorithm in Python.

DBScan algorithm using Octrees to cluster 3D points in a space with PCL Library

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

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

a fast and automatic segmentation pipeline for point cloud of maize shoots

easy and simple way to train, export and deploy pointpillars for 3D detection

EmbodiedSAM: Online Segment Any 3D Thing in Real Time

Dynamically get the suggested clusters in the data for unsupervised learning.

Group Anything with Radiance Fields