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BlenderProc

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arxiv 1911.01911 v1 pith:JEB34L5H submitted 2019-10-25 cs.CV cs.GRcs.LGcs.RO

BlenderProc

Maximilian Denninger , Martin Sundermeyer , Dominik Winkelbauer , Youssef Zidan , Dmitry Olefir , Mohamad Elbadrawy , Ahsan Lodhi , Harinandan Katam This is my paper
classification cs.CV cs.GRcs.LGcs.RO
keywords blenderprocmodularmodulespipelinevarietyblendercasesconvolutional
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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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.

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Cited by 6 Pith papers

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