research-article

Picbreeder: evolving pictures collaboratively online

Authors:

Jimmy Secretan,

Nicholas Beato,

David B. D Ambrosio,

Adelein Rodriguez,

Kenneth O. StanleyAuthors Info & Claims

CHI '08: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Pages 1759 - 1768

https://doi.org/10.1145/1357054.1357328

Published: 06 April 2008 Publication History

Abstract

Picbreeder is an online service that allows users to collaboratively evolve images. Like in other Interactive Evolutionary Computation (IEC) programs, users evolve images on Picbreeder by selecting ones that appeal to them to produce a new generation. However, Picbreeder also offers an online community in which to share these images, and most importantly, the ability to continue evolving others' images. Through this process of branching from other images, and through continually increasing image complexity made possible by the NeuroEvolution of Augmenting Topologies (NEAT) algorithm, evolved images proliferate unlike in any other current IEC systems. Participation requires no explicit talent from the users, thereby opening Picbreeder to the entire Internet community. This paper details how Picbreeder encourages innovation, featuring images that were collaboratively evolved.

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Picbreeder: evolving pictures collaboratively online

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cover image ACM Conferences

CHI '08: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

April 2008

1870 pages

ISBN:9781605580111

DOI:10.1145/1357054

General Chairs:
Mary Czerwinski
Microsoft Research, USA
,
Arnie Lund
Microsoft, USA
,
Program Chair:
Desney Tan
Microsoft Research, USA

Copyright © 2008 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 06 April 2008

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April 5 - 10, 2008

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CHI '08 Paper Acceptance Rate 157 of 714 submissions, 22%;

Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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https://dl.acm.org/doi/10.5555/3692070.3692896
Fernando CBanarse DMichalewski HOsindero SRocktäschel TSalakhutdinov RKolter ZHeller KWeller AOliver NScarlett JBerkenkamp F(2024)PromptbreederProceedings of the 41st International Conference on Machine Learning10.5555/3692070.3692611(13481-13544)Online publication date: 21-Jul-2024
https://dl.acm.org/doi/10.5555/3692070.3692611
Hertzmann A(2024)Generative Models for the Psychology of Art and AestheticsEmpirical Studies of the Arts10.1177/02762374241288696Online publication date: 7-Oct-2024
https://doi.org/10.1177/02762374241288696
Meyerson ENelson MBradley HGaier AMoradi AHoover ALehman J(2024)Language Model Crossover: Variation through Few-Shot PromptingACM Transactions on Evolutionary Learning and Optimization10.1145/36947914:4(1-40)Online publication date: 5-Sep-2024
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