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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.
The aesthetics factor was manipulated by differing in terms of color combination, visual layout, and text font, which determine the level of aesthetics. [2] According to the study by Hall and Hanna, users perceived websites with white–black and black–white color combinations as less pleasing and stimulating than ones with non-grayscale color combinations.
A revolving type case for wooden type in China, an illustration shown in a book published in 1313 by Wang Zhen Korean movable type from 1377 used for the Jikji. Although typically applied to printed, published, broadcast, and reproduced materials in contemporary times, all words, letters, symbols, and numbers written alongside the earliest naturalistic drawings by humans may be called typography.
The images the system produces are thematically faithful to the original image, but not a photographic match, perhaps because each person’s perception of reality is different, she said.
Allan Paivio's dual-coding theory is a basis of picture superiority effect. Paivio claims that pictures have advantages over words with regards to coding and retrieval of stored memory because pictures are coded more easily and can be retrieved from symbolic mode, while the dual coding process using words is more difficult for both coding and retrieval.
Imageability is a measure of how easily a physical object, word or environment will evoke a clear mental image in the mind of any person observing it. [1] [2] It is used in architecture and city planning, in psycholinguistics, [3] and in automated computer vision research. [4]
Phonaesthetics (also spelled phonesthetics in North America) is the study of the beauty and pleasantness associated with the sounds of certain words or parts of words.The term was first used in this sense, perhaps by J. R. R. Tolkien, [1] during the mid-20th century and derives from Ancient Greek φωνή (phōnḗ) 'voice, sound' and αἰσθητική (aisthētikḗ) 'aesthetics'.
Rather than modeling writing as a creative process, the love letter algorithm represents the writing of love letters as formulaic and without creativity. [8] The algorithm has the following structure: Print two words taken from a list of salutations; Do the following 5 times: Choose one of two sentence structures depending on a random value Rand