GAN Generated Tripper

This person was generated by a computer using StyleGAN2. His image looked so unremarkable I felt it necessary to use Neural Filters and Facewarp in Photoshop to push him back into the Uncanny Valley.

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Neither of these people are real. They are both images created by StyleGAN2. I took those images and brought them to life using First Order Motion Model. I then used WAV2LIP to get them to speak a bunch of words that had been written by a custom trained GPT-2  and passed through a text-to-speech program. The lady has a far more realistic voice, thanks to  Tacotron2 and Waveglow, the man was voiced manually using the inbuilt Mac TTS function

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This lady looks strange and is a bit glitchy. I think it might be because I used my face to inhabit her image as my β€œmeat-puppet”. And before you call Clarice Starling on me. Don’t forget, this is not a person.

Here’s what she looked like before. Hang on. She’s not even a she, is she? I mean, there’s probably a classifier somewhere that says she has the visual characteristics of a female.Β 

These are just hacks, done by me, a hack, with no skill, no idea and no technology. I’m so excited about where this stuff could go from the point of view of storytelling / gaming and all kinds of things. And yes, it’s a bit terrifying too

Freaky Fish 'n' Chips

I trained a StyleGAN on a not very large and not very well cleaned dataset of images of fish and chips (and mushy peas for a bit of colour). After a few hours training it was spitting out odd but fascinating greasy images.

Ministers of Ceremonies

When I first discovered WAV2LIP I wondered; how could I overthrow the ruling Tory party? I ran out of ideas, then thought it might be their downfall if I used them as meat-puppets to deliver UK Garage Classics, and other bits of pop culture.Β