[ICRA2021] Reconstructing Interactive 3D Scene by Panoptic Mapping and CAD Model Alignment

Overview

Interactive Scene Reconstruction

Project Page | Paper

This repository contains the implementation of our ICRA2021 paper Reconstructing Interactive 3D Scenes by Panoptic Mapping and CAD Model Alignments. The proposed pipeline reconstructs an interactive indoor scene from RGBD streams, where objects are replaced by (articulated) CAD models. Represented as a contact graph, the reconstructed scene naturally encodes actionable information in terms of environmental kinematics, and can be imported into various simulators to support robot interactions.

The pipeline consists of 3 modules:

  • A robust panoptic mapping module that accurately reconstruct the semantics and geometry of objects and layouts, which is a modified version of Voxblox++ but with improved robustness. The 2D image segmentation is obtained using [Detectron2] (https://github.com/facebookresearch/detectron2)
  • An object-based reasoning module that constructs a contact graph from the dense panoptic map and replaces objects with aligned CAD models
  • An interface that converts a contact graph into a kinematic tree in the URDF format, which can be imported into ROS-based simulators

Todo

  • Upload code for panoptic mapping
  • Upload submodules for panoptic mapping
  • Upload code for CAD replacement
  • Upload code for URDF conversion and scene visualization
  • Upload dataset and use cases
  • Update instructions

1. Installation

1.1 Prerequisites

  • Ubuntu 16.04 (with ROS Kinetic) or 18.04 (with ROS Melodic)
  • Python >= 3.7
  • gcc & g++ >= 5.4
  • 3 <= OpenCV < 4
  • (Optional) Nvidia GPU (with compatible cuda toolkit and cuDNN) if want to run online segmentation

1.2 Clone the repository & install catkin dependencies

First create and navigate to your catkin workspace

cd <your-working-directory>
mkdir <your-ros-ws>/src && cd <your-ros-ws>

Then, initialize the workspace and configure it. (Remember to replace by your ros version)

catkin init
catkin config --extend /opt/ros/<your-ros-version> --merge-devel 
catkin config --cmake-args -DCMAKE_CXX_STANDARD=14 -DCMAKE_BUILD_TYPE=Release

Download this repository to your ROS workspace src/ folder with submodules via:

cd src
git clone --recursive https://github.com/hmz-15/Interactive-Scene-Reconstruction.git

Then add dependencies specified by .rosinstall using wstool

cd Interactive-Scene-Reconstruction
wstool init dependencies
cd dependencies
wstool merge -t . ../mapping/voxblox-plusplus/voxblox-plusplus_https.rosinstall
wstool merge -t . ../mapping/orb_slam2_ros/orb_slam2_ros_https.rosinstall
wstool update

1.3 Build packages

cd <your-ros-ws>
catkin build orb_slam2_ros perception_ros gsm_node -j2
Owner
Ph.D student in Robotics
Implementation for Paper "Inverting Generative Adversarial Renderer for Face Reconstruction"

StyleGAR TODO: add arxiv link Implementation of Inverting Generative Adversarial Renderer for Face Reconstruction TODO: for test Currently, some model

155 Oct 27, 2022
Patch-Based Deep Autoencoder for Point Cloud Geometry Compression

Patch-Based Deep Autoencoder for Point Cloud Geometry Compression Overview The ever-increasing 3D application makes the point cloud compression unprec

17 Dec 05, 2022
PyTorch implementation of SmoothGrad: removing noise by adding noise.

SmoothGrad implementation in PyTorch PyTorch implementation of SmoothGrad: removing noise by adding noise. Vanilla Gradients SmoothGrad Guided backpro

SSKH 143 Jan 05, 2023
Python Library for learning (Structure and Parameter) and inference (Statistical and Causal) in Bayesian Networks.

pgmpy pgmpy is a python library for working with Probabilistic Graphical Models. Documentation and list of algorithms supported is at our official sit

pgmpy 2.2k Jan 03, 2023
Code and description for my BSc Project, September 2021

BSc-Project Disclaimer: This repo consists of only the additional python scripts necessary to run the agent. To run the project on your own personal d

Matin Tavakoli 20 Jul 19, 2022
Code for KHGT model, AAAI2021

KHGT Code for KHGT accepted by AAAI2021 Please unzip the data files in Datasets/ first. To run KHGT on Yelp data, use python labcode_yelp.py For Movi

32 Nov 29, 2022
A semismooth Newton method for elliptic PDE-constrained optimization

sNewton4PDEOpt The Python module implements a semismooth Newton method for solving finite-element discretizations of the strongly convex, linear ellip

2 Dec 08, 2022
Pocsploit is a lightweight, flexible and novel open source poc verification framework

Pocsploit is a lightweight, flexible and novel open source poc verification framework

cckuailong 208 Dec 24, 2022
An implementation for Neural Architecture Search with Random Labels (CVPR 2021 poster) on Pytorch.

Neural Architecture Search with Random Labels(RLNAS) Introduction This project provides an implementation for Neural Architecture Search with Random L

18 Nov 08, 2022
SiT: Self-supervised vIsion Transformer

This repository contains the official PyTorch self-supervised pretraining, finetuning, and evaluation codes for SiT (Self-supervised image Transformer).

Sara Ahmed 275 Dec 28, 2022
This GitHub repository contains code used for plots in NeurIPS 2021 paper 'Stochastic Multi-Armed Bandits with Control Variates.'

About Repository This repository contains code used for plots in NeurIPS 2021 paper 'Stochastic Multi-Armed Bandits with Control Variates.' About Code

Arun Verma 1 Nov 09, 2021
Pytorch-diffusion - A basic PyTorch implementation of 'Denoising Diffusion Probabilistic Models'

PyTorch implementation of 'Denoising Diffusion Probabilistic Models' This reposi

Arthur Juliani 76 Jan 07, 2023
Official implementation of our CVPR2021 paper "OTA: Optimal Transport Assignment for Object Detection" in Pytorch.

OTA: Optimal Transport Assignment for Object Detection This project provides an implementation for our CVPR2021 paper "OTA: Optimal Transport Assignme

217 Jan 03, 2023
Spiking Neural Network for Computer Vision using SpikingJelly framework and Pytorch-Lightning

Spiking Neural Network for Computer Vision using SpikingJelly framework and Pytorch-Lightning

Sami BARCHID 2 Oct 20, 2022
UnsupervisedR&R: Unsupervised Pointcloud Registration via Differentiable Rendering

UnsupervisedR&R: Unsupervised Pointcloud Registration via Differentiable Rendering This repository holds all the code and data for our recent work on

Mohamed El Banani 118 Dec 06, 2022
Code to reproduce the experiments from our NeurIPS 2021 paper " The Limitations of Large Width in Neural Networks: A Deep Gaussian Process Perspective"

Code To run: python runner.py new --save SAVE_NAME --data PATH_TO_DATA_DIR --dataset DATASET --model model_name [options] --n 1000 - train - t

Geoff Pleiss 5 Dec 12, 2022
Definition of a business problem according to Wilson Lower Bound Score and Time Based Average Rating

Wilson Lower Bound Score, Time Based Rating Average In this study I tried to calculate the product rating and sorting reviews more accurately. I have

3 Sep 30, 2021
Code for CPM-2 Pre-Train

CPM-2 Pre-Train Pre-train CPM-2 此分支为110亿非 MoE 模型的预训练代码,MoE 模型的预训练代码请切换到 moe 分支 CPM-2技术报告请参考link。 0 模型下载 请在智源资源下载页面进行申请,文件介绍如下: 文件名 描述 参数大小 100000.tar

Tsinghua AI 136 Dec 28, 2022
Reference code for the paper CAMS: Color-Aware Multi-Style Transfer.

CAMS: Color-Aware Multi-Style Transfer Mahmoud Afifi1, Abdullah Abuolaim*1, Mostafa Hussien*2, Marcus A. Brubaker1, Michael S. Brown1 1York University

Mahmoud Afifi 36 Dec 04, 2022
This repository lets you interact with Lean through a REPL.

lean-gym This repository lets you interact with Lean through a REPL. See Formal Mathematics Statement Curriculum Learning for a presentation of lean-g

OpenAI 87 Dec 28, 2022