Generative Clothing Designs (GCD) by AlgoArt

Biography

The AlgoArt project seeks to bring together artists and programmers to create algorithmically generated artworks through a user-friendly online platform. AlgoArt began in the summer of 2022 as an open source framework for creating drawing algorithms. The algorithms procedurally draw lines and shapes onto a digital canvas. A drawing algorithm's behavior allows for customization through setting detailed parameters. Based on these algorithms, our research team created the AlgoArt Platform (AlgoArt.org) which consists of two parts: (1) a creator studio for real-time artwork generation and parameter customization and (2) a digital gallery for displaying and reviewing generated artworks. AlgoArt is designed to be user-friendly for artists who may be new to programming, but complex enough for experienced programmers to explore in depth. We had the great opportunity to display our algorithmically generated artworks in the Bridges 2023 Short Film Festival where the reoccurring feedback was that we need to apply our designs to create tangible physical objects. Based on this feedback, along with student Kevin Dong and recent graduate EK Brickner, we designed three new drawing algorithms that we have used to generate patterned designs for custom made tee shirts. In particular, we designed (1) the algorithm titled "Stickers" to replicate the style of repeated patterns found in luxury fashion brands, (2) the algorithm titled "Composition" that colors rectangular regions based on our own fast matrix pattern matching algorithm that results in visuals reminiscent of Piet Mondrian artworks, and (3) the algorithm titled "Squares" that visualizes repeated subdividing of an image into smaller and smaller squares of varying color. We have eight shirts available for display at the Bridges Fashion Show. Renderings for these selected designs have been provided with our submission along with photographs of four of the generated designs on models.

Looks

About the look

Algorithmically Generated Tee Shirts

Tee Shirts

2024

These are renderings of eight algorithmically generated tee shirt designs that will be on display at the Bridges Fashion Show.

About the look

Algorithmically Generated Tee Shirts on Models

Tee Shirts

2024

Image 1 features a design that was generated using the algorithm titled "Overlapping Tiles" by Michael Wehar. Below is an excerpt from this algorithm's official description. "For this algorithm, we draw a series of grids of tiles on top of each other. Each grid has defined tiling dimensions, spacing parameters, and transparency. As the tiles layer on top of each other, they blend together forming intricate color gradients and patterns. The resulting designs vary, but appear similar to colorful backgrounds, mosaics, wallpapers, and fabric designs. This algorithm was inspired by my enjoyment of repeatedly drawing simple small patterns that together form intricate and unique images." Image 2 features a design that was generated using the algorithm titled "Composition" by Kevin Dong. Below is an excerpt from this algorithm's official description. "On a rectangular canvas, we iteratively draw straight lines of different lengths either vertically or horizontally. After finishing all the lines, we color each block enclosed by the lines with a color from our palette ... this algorithm intends to imitate the art style of the Dutch artist Piet Mondrian." Image 3 features a design that was generated using the algorithm titled "Stickers" by Michael Wehar. This drawing algorithm replicates the style of repeated geometric patterns found in luxury fashion brands. Image 4 features a design that was generated using the algorithm titled "Squares" by EK Brickner. This drawing algorithm visualizes repeated subdividing of an image into smaller and smaller squares of varying color.