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BlenderProc2: A Procedural Pipeline for Photorealistic Rendering

Authors: Denninger, Maximilian; Winkelbauer, Dominik; Sundermeyer, Martin; Boerdijk, Wout; Knauer, Markus; Strobl, Klaus; Humt, Matthias; +1 Authors

BlenderProc2: A Procedural Pipeline for Photorealistic Rendering

Abstract

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.

Keywords

machine learning, robot framework, blender, deep learning, photo realistic rendering, dataset generation, artificial intelligence, simulation, computer vision

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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