mlsanityData to 7 Oct 2026

PSP-HDRI+: A Synthetic Dataset Generator for Pre-Training of Human-Centric Computer Vision Models

arXiv 2207.05025 ↗First posted 11 Jul 2022cs.CV cs.AI cs.DBcited by 15

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Abstract (arXiv)

We introduce a new synthetic data generator PSP-HDRI+ that proves to be a superior pre-training alternative to ImageNet and other large-scale synthetic data counterparts. We demonstrate that pre-training with our synthetic data will yield a more general model that performs better than alternatives even when tested on out-of-distribution (OOD) sets. Furthermore, using ablation studies guided by person keypoint estimation metrics with an off-the-shelf model architecture, we show how to manipulate our synthetic data generator to further improve model performance.

Key facts. Cited by 15 papers in the map (data through 7 Oct 2026). Builds on 31 of its 40 references that are in the map. First posted on arXiv 11 Jul 2022.

Builds on

31 of 40 references.

References · 31

  1. 2015Deep Residual Learning for Image Recognitioncited by 51,809
  2. 2014Microsoft COCO: Common Objects in Contextcited by 17,498
  3. 2017Mask R-CNNcited by 7,259
  4. 2016Feature Pyramid Networks for Object Detectioncited by 5,021
  5. 2017CARLA: An Open Urban Driving Simulatorcited by 2,431
  6. 2018Group Normalizationcited by 1,514
  7. 2017Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real Worldcited by 1,401
  8. 2020Hypersim: A Photorealistic Synthetic Dataset for Holistic Indoor Scene Understandingcited by 593
  9. 2016MOT16: A Benchmark for Multi-Object Trackingcited by 531
  10. 2018Rethinking ImageNet Pre-trainingcited by 376
  11. 2017Learning from Synthetic Humanscited by 358
  12. 2016Virtual Worlds as Proxy for Multi-Object Tracking Analysiscited by 340
19 more
  1. 2018CrowdPose: Efficient Crowded Scenes Pose Estimation and A New Benchmarkcited by 214
  2. 2022The Role of ImageNet Classes in Fr'echet Inception Distancecited by 211
  3. 2021Fake It Till You Make It: Face analysis in the wild using synthetic data alonecited by 200
  4. 2017Playing for Benchmarkscited by 169
  5. 2020Populating 3D Scenes by Learning Human-Scene Interactioncited by 164
  6. 2018Pose2Seg: Detection Free Human Instance Segmentationcited by 107
  7. 2018Synscapes: A Photorealistic Synthetic Dataset for Street Scene Parsingcited by 105
  8. 2021Pre-training without Natural Imagescited by 100
  9. 2018Learning to Detect and Track Visible and Occluded Body Joints in a Virtual Worldcited by 81
  10. 2022Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervisioncited by 80
  11. 2020OpenRooms: An End-to-End Open Framework for Photorealistic Indoor Scene Datasetscited by 73
  12. 2021MOTSynth: How Can Synthetic Data Help Pedestrian Detection and Tracking?cited by 68
  13. 2018Domain Adaptation through Synthesis for Unsupervised Person Re-identificationcited by 44
  14. 2021Unity Perception: Generate Synthetic Data for Computer Visioncited by 43
  15. 2021SAIL-VOS 3D: A Synthetic Dataset and Baselines for Object Detection and 3D Mesh Reconstruction from Video Datacited by 38
  16. 2021NViSII: A Scriptable Tool for Photorealistic Image Generationcited by 24
  17. 2020When and how CNNs generalize to out-of-distribution category-viewpoint combinationscited by 22
  18. 2021PeopleSansPeople: A Synthetic Data Generator for Human-Centric Computer Visioncited by 11
  19. 2020From Real to Synthetic and Back: Synthesizing Training Data for Multi-Person Scene Understandingcited by 3

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Citing papers per year: 2022: 1; 2023: 6; 2024: 4; 2025: 2; 2026: 2.

15 papers.

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