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The GAN uses a "generator" to create new images and a "discriminator" to decide which created images are considered successful. [32] Unlike previous algorithmic art that followed hand-coded rules, generative adversarial networks could learn a specific aesthetic by analyzing a dataset of example images. [12]
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There are two main types of word art: [2] One uses words or phrases because of their ideological meaning, their status as an icon, or their use in well-known advertising slogans; in this type, the content is of paramount importance, and is seen in some of the work of Barbara Kruger, On Kawara and Jenny Holzer's projection artwork called "For the City" (2005) in Manhattan.
Microsoft Graph (originally known as Microsoft Chart) is an OLE application deployed by Microsoft Office programs such as Excel and Access to create charts and graphs. The program is available as an OLE application object in Visual Basic. Microsoft Graph supports many different types of charts, but its output is dated.
ASCII art of a fish. ASCII art is a graphic design technique that uses computers for presentation and consists of pictures pieced together from the 95 printable (from a total of 128) characters defined by the ASCII Standard from 1963 and ASCII compliant character sets with proprietary extended characters (beyond the 128 characters of standard 7-bit ASCII).
Examples of computer clip art, from Openclipart. Clip art (also clipart, clip-art) is a type of graphic art. Pieces are pre-made images used to illustrate any medium. Today, clip art is used extensively and comes in many forms, both electronic and printed. However, most clip art today is created, distributed, and used in a digital form.
The following other wikis use this file: Usage on af.wikipedia.org Microsoft Word; Usage on ar.wikipedia.org مايكروسوفت وورد; Usage on ast.wikipedia.org
An image conditioned on the prompt an astronaut riding a horse, by Hiroshige, generated by Stable Diffusion 3.5, a large-scale text-to-image model first released in 2022. A text-to-image model is a machine learning model which takes an input natural language description and produces an image matching that description.