Nick Summers, “Inside the virtual production of ‘The Lion King,’ engadget, July 30, 2019. See ➝. Borkman, Steve, Adam Crespi, Saurav Dhakad, Sujoy Ganguly, Jonathan Hogins, You-Cyuan Jhang, Mohsen Kamalzadeh et al, "Unity perception: Generate synthetic data for computer vision," arXiv preprint arXiv:2107.04259 (2021).
Zack Sharf, “Marie Kondo Has ‘Kind of Given Up’ on Tidying Up: ‘My Home is Messy’,” Variety, January 27, 2023. See ➝.
Ron Amadeo, “The $1,600 Dyson 360 Vis Nav promises to be the world’s most powerful robovac,” arstechnica, May 23, 3023. See ➝.
Eileen Guo, “A Roomba recorded a woman on the toilet. How did screenshots end up on Facebook?,” MIT Technology Review, December 19, 2022. See ➝.
Julian Posada, “Family Units,” Logic(s), December 25, 2021. See ➝.
James Vincent, “iRobot’s newest Roomba uses AI to avoid dog poop,” The Verge, September 9, 2021. See ➝.
Stephan R. Richter, Vibhav Vineet, Stefan Roth, and Vladlen Koltun, "Playing for data: Ground truth from computer games," Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The Netherlands, October 11-14, 2016, Proceedings, Part II 14 (Springer International Publishing, 2016): 102-118.
Wenbin Li, Sajad Saeedi, John McCormac, Ronald Clark, Dimos Tzoumanikas, Qing Ye, Yuzhong Huang, R. Tang and Stefan Leutenegger, “InteriorNet: Mega-scale Multi-sensor Photo-realistic Indoor Scenes Dataset,” British Machine Vision Conference (2018).
Simone Niquille, “On flatpack furniture and .zip folders,” CCA, October 18, 2021. See ➝.
Margaret Mitchell, Simone Wu, Andrew Zaldivar, Parker Barnes, Lucy Vasserman, Ben Hutchinson, Elena Spitzer, Inioluwa Deborah Raji, and Timnit Gebru, "Model cards for model reporting," Proceedings of the conference on fairness, accountability, and transparency (2019): 220-229.
Timnit Gebru, Jamie Morgenstern, Briana Vecchione, Jennifer Wortman Vaughan, Hanna Wallach, Hal Daumé Iii, and Kate Crawford, "Datasheets for datasets," Communications of the ACM 64, no. 12 (2021): 86-92.
David Marchese, “An A.I. Pioneer on What We Should Really Fear,” New York Times, December 21, 2022. See ➝.
Flickr30k image dataset introduced in Peter Young, Alice Lai, Micah Hodosh, and Julia Hockenmaier, “From image descriptions to visual denotations: New similarity metrics for semantic inference over event descriptions,” Transactions of the Association for Computational Linguistics 2, (2014): 67–78. See ➝. Flickr Faces High-Quality (FFHQ) is a dataset of Flickr face photos originally created for face generation research by NVIDIA in 2019. It includes 70,000 total face images from 67,646 unique Flickr photos.(…) The images in FFHQ were taken from Flickr users without explicit consent and were selected because they contained high quality face images with a permission Creative Commons license.(…) The problem with NVIDIA's proposed "opt-out" system is that no one ever opted in.” See ➝. In 2023 Apple introduced Object Capture, a photogrammetry API to effortlessly create high-quality 3D models, but its functionality is limited to Apple hardware with dual-lenses. See ➝.
Rob Runesson, “The content revolution to come,” Medium, November 20, 2020. See ➝.
Tom Solberg, “Transforming animation with machine learning,” Medium, February 26, 2021. See ➝.
LiU Game Conference, “EMBARK STUDIOS: Machine Learning For Believable AI Characters,” YouTube Video, 55:58, March 23, 2022. See ➝.
William Labov, “The boundaries of words and their meanings,” Bas Aarts, David Denison, Evelien Keizer, and Gergana Popova (eds.), Fuzzy grammar: A reader (Oxford: Oxford University Press, 2004).
Alex Hanna and Tina M. Park, "Against scale: Provocations and resistances to scale thinking," arXiv preprint arXiv:2010.08850 (2020).