synthetic imaging

Through DragGAN, anyone can deform an image with precise control over where pixels go
Why opting out from image datasets is not an effective governance mechanism for artists.
The timeline traces deep learning model milestones starting from the beginning of the “AI summer” in 2012.
Alan Warburton - FGBFAQ 2020 Synthetic data is increasingly sought after as a ’clean’ alternative to real world data sets, which are often biased, unethically …
“To generate its synthetic humans, Datagen first scans actual humans. It partners with vendors who pay people to step inside giant full-body scanners that capture every detail from their irises to … Evolved Virtual Creatures Karl Sims,  1994 This video shows results from a research project involving simulated Darwinian evolutions of virtual …
Google Research. Contribute to google-research/google-research development by creating an account on GitHub.
A Screen Walks playlist of recorded live-streamed events touching on machine learning.
VFRAME Adam Harvey A collection of open-source computer vision software tools designed specifically for human rights investigations that rely on large datasets of visual media. Specifically VFRAME is …
Mike Tyka, Dreams of Imaginary People, 2017 (constantly morphing hypnotic GAN portraits)