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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

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

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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 4 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

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    cs.CV 2024-11 conditional novelty 7.0 of 10

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  2. InSpace: Structure-Aware 3D Indoor Scene Generation from a Single 360{\deg} Image

    cs.CV 2026-07 conditional novelty 6.0 of 10

    InSpace generates complete structure-aware 3D indoor scenes (layout plus textured assets) from a single equirectangular 360° image via three-stage flow matching with view- and asset-selective attention.

  3. IDCNet: Guided Video Diffusion for Metric-Consistent RGBD Scene Generation with Precise Camera Control

    cs.CV 2025-08 unverdicted novelty 5.0 of 10

    The claimed IDC-Net framework is absent; the body text is an unrelated instance-segmentation paper.

  4. AI-driven visual monitoring of industrial assembly tasks

    cs.CV 2025-06 conditional novelty 5.0 of 10

    ViMAT combines a synthetic-trained YOLOv8 detector with Viterbi-based reasoning over an assembly state graph to monitor industrial assembly steps in real time from multi-view video.

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