Pixel art remains a contemporary art form and a common rendering technique in digital games and media. However, the manual creation of pixel art is often time consuming and requires a degree of skill that is not easily obtained by novices of the art. In my thesis I present my work on automatically and semi-automatically converting high resolution images into an output that approximates the manual results of pixel artists. This is a multi-step, iterative algorithm that simultaneously solves for a palette and a mapping of segments of the input image to pixels in the output. The proposed tools gives the user flexible influence on the output and the ability to work anywhere between a purely automated and purely manual process.
Timothy Gerstnertimgerst at cs dot rutgers dot edu
Pixelated Image Abstraction with Integrated User Constraints
Timothy Gerstner, Doug Decarlo, Marc Alexa, Adam Finkelstein, Yotam Gingold, Andrew Nealen. 2013. Computers & Graphics.
[preprint pdf] (11.1MB)
Pixelated Image Abstraction
Timothy Gerstner, Doug Decarlo, Marc Alexa, Adam Finkelstein, Yotam Gingold, Andrew Nealen. 2012. Proceedings of the International Symposium of Non-Photorealistic Animation and Rendering (NPAR)
[preprint pdf] (9.0MB)