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Generative pattern

20x20 grid with squares in various states of fractalization.

 

Made with processing.org.

Exhibition of my generative portraits series at my university. All portraits have been done with Processing.

 

70 x 100 cm

Duplex on Hahnemühle Natural Line (archival paper) using pigmented inks.

 

Check single images:

www.flickr.com/photos/dianalange/sets/72157632773162506/

  

Get the basic code on my openprocessing portfolio:

openprocessing.org/user/5969

 

HAWK FH HHG

2013

www.hawk-hhg.de/pressestelle/189939_190642.php

I saw a Georg Nees print in a pdf of an exhibition catalog of a show called Computer Art held at the National Gallery of Modern Art in New Delhi in 1972. I thought to make a similar print with Processing, but then I did something slightly different.

generative design - compositions for a poster

The book Generative Design describes the creation of images by using codes. An image is not created manually, but instead by translating a visual idea into a set of rules and then implementing it in a programming language. Such a program can not only create a single image but also design complete visual worlds when parameters are changed.

We, the authors, want this book to provide a solid foundation for the use of this process. The book section “Basic Principles” illustrates generative techniques in relation to four foundation areas of design: color, shape, typography, and image. The designer’s repertoire is further expanded in the section “Complex Methods” by combining a number of principles on the basis of six larger-scaled examples. In this section you will also find explanations of advanced techniques.

 

In addition to providing codes, this website is intended as a forum for communication between users of the book and the authors. Let us know by commenting if something does not work; of course, we are also glad to hear if you enjoyed something in particular. In the gallery section we encourage a lively exchange of information concerning your enhanced programs and pictures. Among the links you will find all the projects discussed in the book as well as the references.

 

Generative Design

Visualize, Program, and Create with Processing

 

Hartmut Bohnacker, Benedikt Groß, Julia Laub, Claudius Lazzeroni editor

 

English-language edition

472 pages with more than 1,000 colored illustrations

Includes international best practice examples,

foundations, and programming codes, and samples

 

Hardcover 8 x 11 3/16 inches

Published by Princeton Architectural Press

ISBN 978-1-61689-077-3

Generative pattern

My generative art is now available as throw pillows. society6.com/DG8TAL/pillows

First results of a new generative art algorithm. Still experimenting with it (as always).

This is generated by letting 2000+ particles wander around, leaving a trail. They flock together based on a perlin noise map.

// HACKPACT

 

// Showcase of 20 brief experiments (sound machines) we coded during november (MMXI).

 

// All of them explore the sound/graphic co-relation.

 

// Built with Processing and almost all of the audio with SuperCollider

 

// More info/detail about our codes here: www.realitat.com/HACKPACT

Generative pattern

exploring the #deepdream example github.com/google/deepdream

Generative pattern

New generative experiments.

A source image is triangulated based on color values etc. And then some "magic" is applied ;)

These are rendered in high resolution (8400 x 4200)

Generative pattern

Some new generative artwork. It's been a while since I uploaded some new work. I didn't want to upload the results of my new generative engine untill I was satisfied with the results.

Generative sphere packing

Generative pattern

Generative pattern

A previous version posted on February 1 was a vertical crop of a landscape orientation image. I was zoomed in too much so there was not much space above or below the bird. I am trying out photoshop and I used the generative fill function to expand the image both vertically and horizontally to create a more pleasing composition. I think it worked rather well.

Generative pattern

Generative pattern

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