A programmer created an application that uses neural networks to remove clothing from the images of women, making them look realistically nude.
That the software is based on pix2pix, an open-source algorithm developed by University of California, Berkeley researchers in 2017. Pix2pix uses generative adversarial networks (GANs), which work by training an algorithm on a huge dataset of images – in the case of DeepNude, more than 10,000 nude photos of women, the programmer said – and then trying to improve against itself. This algorithm is similar to what’s used in deepfake videos, and what self-driving cars use to “imagine” road scenarios.
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