Generative Photography

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"

Process diagram
Generative Photography process

Simulated Digital Pinhole Exposure Using p5.js

Digital Pinhole Negative Print & Analog Pinhole Contact Sheet

Digital Pinhole Negative Print Analog Pinhole Contact Sheet

Digital Pinhole Negative Print & Analog Pinhole Photograph

Digital Pinhole Negative Print Analog Pinhole Photograph

Processing Community Day NYC 2020

Processing Community Day NYC 2020
Processing Community Day NYC 2020

Re-Fest, CultureHub 2020

Re-Fest CultureHub 2020
Re-Fest CultureHub 2020
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