CAD2Render: A Modular Toolkit for GPU-accelerated Photorealistic
Synthetic Data Generation for the Manufacturing Industry

CAD2Render: A Modular Toolkit for GPU-accelerated Photorealistic Synthetic Data Generation for the Manufacturing Industry

25 November 2022

A. Bey-Temsamani

Nick Michiels

Papers citing "CAD2Render: A Modular Toolkit for GPU-accelerated Photorealistic Synthetic Data Generation for the Manufacturing Industry"

6 / 6 papers shown

Title
Training Deep Networks with Synthetic Data: Bridging the Reality Gap by Domain Randomization Jonathan Tremblay Aayush Prakash David Acuna M. Brophy Varun Jampani Cem Anil Thang To Eric Cameracci Shaad Boochoon Stan Birchfield OOD 63 815 0 18 Apr 2018
The Effectiveness of Data Augmentation in Image Classification using Deep Learning Luis Perez Jason Wang 77 2,786 0 13 Dec 2017
Augmented Reality Meets Computer Vision : Efficient Data Generation for Urban Driving Scenes Hassan Abu Alhaija Siva Karthik Mustikovela L. Mescheder Andreas Geiger Carsten Rother 3DPC 61 442 0 04 Aug 2017
Dataset Augmentation for Pose and Lighting Invariant Face Recognition Daniel E. Crispell O. Biris Nate Crosswhite J. Byrne J. Mundy 3DH CVBM 40 27 0 14 Apr 2017
Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World Joshua Tobin Rachel Fong Alex Ray Jonas Schneider Wojciech Zaremba Pieter Abbeel 244 2,963 0 20 Mar 2017
ShapeNet: An Information-Rich 3D Model Repository Angel X. Chang Thomas Funkhouser Leonidas Guibas Pat Hanrahan Qi-Xing Huang ... Shuran Song Hao Su Jianxiong Xiao L. Yi Feng Yu 3DV 159 5,524 0 09 Dec 2015