Artificial evolution for computer graphics
Proceedings of the 18th annual conference on Computer graphics and interactive techniques
CGI '01 Computer Graphics International 2001
The electric sheep and their dreams in high fidelity
Proceedings of the 4th international symposium on Non-photorealistic animation and rendering
Compositional pattern producing networks: A novel abstraction of development
Genetic Programming and Evolvable Machines
Strongly typed genetic programming
Evolutionary Computation
Incorporating characteristics of human creativity into an evolutionary art algorithm
Genetic Programming and Evolvable Machines
Comparing aesthetic measures for evolutionary art
EvoCOMNET'10 Proceedings of the 2010 international conference on Applications of Evolutionary Computation - Volume Part II
The problem with evolutionary art is ...
EvoCOMNET'10 Proceedings of the 2010 international conference on Applications of Evolutionary Computation - Volume Part II
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This paper describes a prototype evolutionary texture synthesis tool meant to assist a designer or artist by automatically discovering many candidate textures that fit a given stylistic description. The textures used here are small color images, created by procedural texture synthesis. This prototype uses a single stylistic description: a textured gray image with a small amount of color accent. A hand-written prototype fitness function rates how well an image meets this description. Genetic programming uses the fitness function to evolve programs written in a texture synthesis language. A tool like this can automatically generate a catalog of variations on the given theme. A designer could then scan through these to pick out those that seem aesthetically interesting. Their procedural "genetic" representation would allow them to be further adjusted by interactive evolution. It also allows re-rendering them at arbitrary resolutions and provides a way to store them in a highly compressed form allowing lossless reconstruction.