Destiny Pictures, Alternative Neural Edit v1.1
Mario Klingemann: Cameraless Photography with Neural Networks
Video of talk from @mario-klingemann at The Photographers Gallery, London, on the subject of making Art with neural networks:
Coinciding with his current project on our Media Wall, Mario Klingemann will be in conversation with Daniel Rourke discussing his recent work which employs machine learning to create visual imagery in a process he calls “Neurography”. In recent months, attention has been drawn to the use of adversarial neural networks to produce entirely fictitious photographic images and their potential use and mis-use in a post-truth age. Reflecting on the ways in which machines are being trained at an increasing rate to learn new skills - from creating to interpreting images - Mario will unpack the creative possibilities presented by neural networks.
Some of Mario’s work is currently being shown at the gallery - you can find out more here
Screen recording of a generative infinite movie I wrote in 2005 which unfortunately does not run in browsers anymore.
Leonardo da Vinci
CycleGAN feedback loop
Visual experiment by @mario-klingemann resembles a combination of DeepDream and cellular automata, generating abstract patterns with facial features:
Two CycleGAN models trained on face transformations are passing their outputs back and forth creating an infinite loop of ever-changing Turing patterns.
This is an experiment where 2 CycleGAN models are pitted against each other and transform their reciprocal output images in a feedback loop. The models have originally been trained on transforming faces which is why you see a lot of eyes and noses being generated. The process is seeded with an initial image but it quickly descends into a semi-stable state that reminds of complex cellular automata or Turing patterns.