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3d-bonet

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

3d-point-cloud-get-started

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

3d_instance_segmentation

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

3d_url_survey

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

4d_plant_registration

asis

Associatively Segmenting Instances and Semantics in Point Clouds, CVPR 2019

autogpt

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

awesome-nerf

A curated list of awesome neural radiance fields papers

awesome-neural-rendering

Resources of Neural Rendering

awesome-point-cloud-analysis

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

awesome-pytorch-list

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

bevfusion

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

cloudcompare

CloudCompare main repository

crlfnet

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

csf

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

dbscan

Implementation of DBSCAN Algorithm in Python.

dbscan-1

dbscan-pcl-optimized

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

deep-learning-for-image-processing

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

deeplearning-500-questions

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_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

dfsp

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

dgcnn

dyco3d

ear-segmentation

easypointpillars

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

gap_statistic

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

garfield

Group Anything with Radiance Fields

gdanet

Learning Geometry-Disentangled Representation for Complementary Understanding of 3D Object Point Cloud. (AAAI2021)

graphtreels

A set of scripts which can be used to perform "graph operations" on point clouds of trees