dinnno

openpoints

OpenPoints: a library for easily reproducing point-based methods for point cloud understanding. The engine for [PointNeXt](https://arxiv.org/abs/2206.04670)

Awesome-Implicit-NeRF-Robotics

A comprehensive list of Implicit Representations and NeRF papers relating to Robotics/RL domain, including papers, codes, and related websites

contact_graspnet

Efficient 6-DoF Grasp Generation in Cluttered Scenes

FastPointTransformer

Official source code of Fast Point Transformer, CVPR 2022

dinnno

nvd_baseline_model

Data, code and pretrained models for Deep Surface Reconstruction from Point Clouds with Visibility Information [ICPR 2022]

recall-semseg

PoinTr

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

PVN3D

Code for "PVN3D: A Deep Point-wise 3D Keypoints Hough Voting Network for 6DoF Pose Estimation", CVPR 2020

DeepCAD

code for our ICCV 2021 paper "DeepCAD: A Deep Generative Network for Computer-Aided Design Models"

data-generate-tutorial

uois

easy_object_tracker

2021 창의융합경진대회

deep_learning_tutorial

2021_Robotics_TermProject

learning3d

This is a complete package of recent deep learning methods for 3D point clouds in pytorch (with pretrained models).

easy_ros_tutorial

ROS Tutorial and Examples: Play with the camera and robot using Python

Data-driven-cultural-heritage

Plane-fitting-using-RANSAC

Plane fitting with RANSAC

PointAugment

Code for PointAugment: an Auto-Augmentation Framework for Point Cloud Classification, CVPR 2020 (Oral)

ros_panda

PU-Net_pytorch

PyTorch Implementation of PU-Net. PU-Net: Point Cloud Upsampling Network, CVPR 2018

spottune

SpotTune: Transfer Learning through Adaptive Fine-tuning

moveit_advanced