BlenderProc is a modular procedural pipeline, which helps in generating real looking images for the training of convolutional neural networks. These can be used in a variety of use cases including segmentation, depth, normal and pose estimation and many others. A key feature of our extension of blender is the simple to use modular pipeline, which was designed to be easily extendable. By offering standard modules, which cover a variety of scenarios, we provide a starting point on which new modules can be created.
@article{arxiv.1911.01911,
title = {BlenderProc},
author = {Maximilian Denninger and Martin Sundermeyer and Dominik Winkelbauer and Youssef Zidan and Dmitry Olefir and Mohamad Elbadrawy and Ahsan Lodhi and Harinandan Katam},
journal= {arXiv preprint arXiv:1911.01911},
year = {2019}
}