Connecting the past and future.
Made in collaboration with GAN:
‘’Generative adversarial network (GAN) is a machine learning (ML) model in which two neural networks compete with each other to become more accurate in their predictions. GANs typically run unsupervised and use a cooperative zero-sum game framework to learn. … Essentially, GANs create their own training data.’’
I approached this technique by using the stills i’ve captured during my crusade along cathedrals in France, Belgium and the Netherlands.
In my collaboration, GAN reveals its interpretation on these ancient man-made structures, while in the present, our spectator — in the midst of it all — absorbs the ethereal acoustics of the cathedral.
Looking at the work i simply can’t wait to built this in the Metaverse…
Thank you for your time,