While I was hunting for royalty free face images for vjing purpose found this archive: https://archive.org/details/1mFakeFaces uploaded by Alexander Reben with a CC BY-NC 4.0 – non commercial licence. I did not wish any better, since I don’t want to use actual human portraits (I did not want to deal with copyrights issues), and these images were generated by a styleGAN algorithm. These images were my source. One of my long-term interest as a painter is to not just imitate but put the painting process into an animation (animate itself), showing the flow, energy and time-scale of a borning painting. Literally generating some motionvectors from the images itself/themselves to drive its creating from within itself (re-creating itself). During the last decade I slowed down many-many footages, morphed with itself and so on, tried out many techniques to generate the moving force from the image itself, so the current test images I show here is just a result of a slowdown process with a sloppy motinvectors and a little bit of a time-shift and displace within the generated footage. My aim was that the result image should be accurate and punctial as it could be as a handmade picture, I mean like/as in a traditional way – colours, consistency, luminosity, viscousity, and overall balance of the composition. Following the European painting tradition – I look for a boundary of a real/ thruth and the gitch/kitch or fake images. This process involves some decunstruction as well, and resulting this glitch-like gitch images, also making a mockery of the tradition as well.
‘Misantrophy’ – random images of a 1145 fake/glitch portraits
Some manipulated photo studies from 2016-2020, where the perspective view was adjusted according to the viewers ideal or best view while the rest of the image is suffered an extreme distortion and caged into the image border in order to fit to the given surface or image-window.