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Recent work has shown the benefits of synthetic data for use in computer vision, with applications ranging from autonomous driving to face landmark detection and reconstruction.
“MoSh: Motion and shape capture from sparse markers”
Matthew Loper, Naureen Mahmood and Michael Black · 2014
Earlier work this paper cites.
“SMPL: A Skinned Multi-Person Linear Model”
Matthew Loper, Naureen Mahmood, Javier Romero, Gerard Pons-Moll and Michael. Black · 2015
Earlier work this paper cites.
“Deep Residual Learning for Image Recognition”
K. He, X. Zhang, S. Ren and J. Sun · 2016
Earlier work this paper cites.
“Embodied Hands: Modeling and Capturing Hands and Bodies Together”
Javier Romero, Dimitrios Tzionas and Michael. Black · 2017
Earlier work this paper cites.
“Mobilenetv2: Inverted residuals and linear bottlenecks”
Mark Sandler, Andrew Howard, Menglong Zhu, Andrey Zhmoginov and Liang-Chieh Chen · 2018
Earlier work this paper cites.
“AMASS: Archive of Motion Capture as Surface Shapes”
Naureen Mahmood, Nima Ghorbani, Nikolaus. Troje, Gerard Pons-Moll and Michael. Black · 2019
Earlier work this paper cites.
“Expressive body capture: 3d hands, face, and body from a single image”
Georgios Pavlakos, Vasileios Choutas, Nima Ghorbani, Timo Bolkart, Ahmed Osman, Dimitrios Tzionas and Michael Black · 2019
Earlier work this paper cites.
“Monocular Expressive Body Regression through Body-Driven Attention”
Vasileios Choutas, Georgios Pavlakos, Timo Bolkart, Dimitrios Tzionas and Michael. Black · 2020
Cited alongside, same era.
“Learning to dress 3d people in generative clothing”
Qianli Ma, Jinlong Yang, Anurag Ranjan, Sergi Pujades, Gerard Pons-Moll, Siyu Tang and Michael Black · 2020
Cited alongside, same era.
“Cycles Renderer”, https://www.cycles-renderer.org/ , 2021
Blender Foundation · 2021
Cited alongside, same era.
“Synthetic Data for Multi-Parameter Camera-Based Physiological Sensing”
Daniel McDuff, Xin Liu, Javier Hernandez, Erroll Wood and Tadas Baltrusaitis · 2021
Cited alongside, same era.
“Open Synthetic Dataset for Improving Cyclist Detection”
Phillip Thomas, Lars Pandikow, Alex Kim, Michael Stanley and James Grieve · 2021
Cited alongside, same era.
“Fake It Till You Make It: Face analysis in the wild using synthetic data alone”, 2021
“Marvelous Designer”, https://marvelousdesigner.com/ , 2022
CLO Inc · 2022
Later among the works it cites.
“Marmoset Toolbag”, https://marmoset.co/Toolbag/ , 2022
Marmoset LLC · 2022
Later among the works it cites.
“Ten24 Media LTD”, https://www.3dscanstore.com/retopologised-body-models/animation-ready-body-scans , 2022
Ten24 Scans · 2022
Later among the works it cites.
“SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation”
Tao Sun, Mattia Segu, Janis Postels, Yuxuan Wang, Luc Van, Bernt Schiele, Federico Tombari and Fisher Yu · 2022
Later among the works it cites.
“3D face reconstruction with dense landmarks”
Erroll Wood, Tadas Baltrusaitis, Charlie Hewitt, Matthew Johnson, Jingjing Shen, Nikola Milosavljevic, Daniel Wilde, Stephan Garbin, Chirag Raman, Jamie Shotton, Toby Sharp, Ivan Stojiljkovic, Tom Cashman and Julien Valentin · 2022
Later among the works it cites.
“DigiFace-1M: 1 Million Digital Face Images for Face Recognition”
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Erroll Wood, Tadas Baltrušaitis, Charlie Hewitt, Sebastian Dziadzio, Matthew Johnson, Virginia Estellers, Thomas. Cashman and Jamie Shotton · 2021
Cited alongside, same era.
“Substance Painter”, https://www.adobe.com/products/substance3d-painter.html , 2022
Adobe Inc · 2022
Cited alongside, same era.
Gwangbin Bae, Martin de La, Tadas Baltrušaitis, Charlie Hewitt, Dong Chen, Julien Valentin, Roberto Cipolla and Jingjing Shen · 2023
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