Generative Photography
Showcase
ML x Art
Re-Fest 2020, CultureHub NYC
Arts at University of Wisconsin - Madison
Processing Community Day NYC 2020
ITP Winter Show 2019
Tools
StyleGAN, p5.js, Gelatin Silver Prints
Role
Photographer, Developer
Brief
From Pinhole to GANs: an ongoing experiment to find emotional impact for machine-generated visuals
The first-ever photograph was made in a pinhole camera in 1826. With hours of exposure time, there were light leaks, changes in shadows, a sense of movement over time. The photograph itself looks more like a drawing and feels genuine, subtle and organic. Today’s image-making technology, Generative Adversarial Networks, although create images that are aesthetically intriguing and culturally relevant, they feel pixelated, mechanical and rigid. The emotional impact is lost as the chemical process is removed.
This project aims to study the nuanced visual qualities in pinhole images and implement them in our contemporary image-making technology in the hope to give life to pixels and create an emotional impact for the viewers. It is a project co-created by me and Nuntinee Tansrisakul.
Process
Generative Content Created Using Machine Learning as the "Light Source"
Processing Community Day NYC 2020
Re-Fest, CultureHub 2020
