mlsanityData to 7 Oct 2026

BlenderProc

arXiv 1911.01911 ↗First posted 25 Oct 2019cs.CV cs.GR cs.LGcited by 76

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Abstract (arXiv)

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.

Key facts. Cited by 76 papers in the map (data through 7 Oct 2026). First posted on arXiv 25 Oct 2019.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 16; 2022: 25; 2023: 14; 2024: 9; 2025: 8; 2026: 4.

76 papers.

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  1. 2022XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Modelcited by 436
  2. 2021Rethinking Space-Time Networks with Improved Memory Coverage for Efficient Video Object Segmentationcited by 200
  3. 2022MegaPose: 6D Pose Estimation of Novel Objects via Render & Comparecited by 198
  4. 2022PartSLIP: Low-Shot Part Segmentation for 3D Point Clouds via Pretrained Image-Language Modelscited by 117
  5. 2023GigaPose: Fast and Robust Novel Object Pose Estimation via One Correspondencecited by 113
  6. 20226-DoF Pose Estimation of Household Objects for Robotic Manipulation: An Accessible Dataset and Benchmarkcited by 85
  7. 2024How NeRFs and 3D Gaussian Splatting are Reshaping SLAM: a Surveycited by 72
  8. 2021Panoptic 3D Scene Reconstruction From a Single RGB Imagecited by 70
  9. 2024BOP Challenge 2023 on Detection, Segmentation and Pose Estimation of Seen and Unseen Rigid Objectscited by 60
  10. 2022The Eyecandies Dataset for Unsupervised Multimodal Anomaly Detection and Localizationcited by 55
  11. 2021Unity Perception: Generate Synthetic Data for Computer Visioncited by 43
  12. 2021Unseen Object Amodal Instance Segmentation via Hierarchical Occlusion Modelingcited by 43
38 more
  1. 2022Demonstrate Once, Imitate Immediately (DOME): Learning Visual Servoing for One-Shot Imitation Learningcited by 36
  2. 2024SpaRP: Fast 3D Object Reconstruction and Pose Estimation from Sparse Viewscited by 35
  3. 2022Look Before You Match: Instance Understanding Matters in Video Object Segmentationcited by 33
  4. 2022DPODv2: Dense Correspondence-Based 6 DoF Pose Estimationcited by 32
  5. 20213DB: A Framework for Debugging Computer Vision Modelscited by 31
  6. 2022Neural-Sim: Learning to Generate Training Data with NeRFcited by 27
  7. 2025ReasonGrounder: LVLM-Guided Hierarchical Feature Splatting for Open-Vocabulary 3D Visual Grounding and Reasoningcited by 25
  8. 2022TexPose: Neural Texture Learning for Self-Supervised 6D Object Pose Estimationcited by 23
  9. 2022EgoEnv: Human-centric environment representations from egocentric videocited by 22
  10. 2023NEF: Neural Edge Fields for 3D Parametric Curve Reconstruction from Multi-view Imagescited by 22
  11. 2022Neural Correspondence Field for Object Pose Estimationcited by 21
  12. 2022Intrinsic Neural Fields: Learning Functions on Manifoldscited by 20
  13. 2023ZeroPose: CAD-Prompted Zero-shot Object 6D Pose Estimation in Cluttered Scenescited by 20
  14. 2024Adapting Pre-Trained Vision Models for Novel Instance Detection and Segmentationcited by 17
  15. 2021Unknown Object Segmentation from Stereo Imagescited by 16
  16. 2021Sim2Air - Synthetic aerial dataset for UAV monitoringcited by 16
  17. 2023Sim2real Transfer Learning for Point Cloud Segmentation: An Industrial Application Case on Autonomous Disassemblycited by 16
  18. 2021CloudAAE: Learning 6D Object Pose Regression with On-line Data Synthesis on Point Cloudscited by 15
  19. 2021A Scaling Law for Synthetic-to-Real Transfer: How Much Is Your Pre-training Effective?cited by 14
  20. 2024GS-Pose: Generalizable Segmentation-based 6D Object Pose Estimation with 3D Gaussian Splattingcited by 14
  21. 2021DISP6D: Disentangled Implicit Shape and Pose Learning for Scalable 6D Pose Estimationcited by 12
  22. 2021ROFT: Real-Time Optical Flow-Aided 6D Object Pose and Velocity Trackingcited by 10
  23. 2022TO-Scene: A Large-scale Dataset for Understanding 3D Tabletop Scenescited by 10
  24. 2022Sim2Real Instance-Level Style Transfer for 6D Pose Estimationcited by 9
  25. 2023Self-supervised Vision Transformers for 3D Pose Estimation of Novel Objectscited by 9
  26. 2021Bayesian Active Learning for Sim-to-Real Robotic Perceptioncited by 8
  27. 2022OSSID: Online Self-Supervised Instance Detection by (and for) Pose Estimationcited by 8
  28. 2022Dataset of Industrial Metal Objectscited by 8
  29. 2023VoxDet: Voxel Learning for Novel Instance Detectioncited by 8
  30. 2023KeyMatchNet: Zero-Shot Pose Estimation in 3D Point Clouds by Generalized Keypoint Matchingcited by 7
  31. 2022ProgressLabeller: Visual Data Stream Annotation for Training Object-Centric 3D Perceptioncited by 6
  32. 2022Photo-realistic Neural Domain Randomizationcited by 5
  33. 2023Persistent Homology Meets Object Unity: Object Recognition in Cluttercited by 5
  34. 2024WheelPose: Data Synthesis Techniques to Improve Pose Estimation Performance on Wheelchair Userscited by 5
  35. 2021Object detection and Autoencoder-based 6D pose estimation for highly cluttered Bin Pickingcited by 4
  36. 2022WorldGen: A Large Scale Generative Simulatorcited by 4
  37. 2023Synthetic Data Generation for Bridging Sim2Real Gap in a Production Environmentcited by 4
  38. 2021Occlusion-robust Visual Markerless Bone Tracking for Computer-Assisted Orthopaedic Surgerycited by 3

50 most cited of 76 All 76 (JSON)