Understanding Aesthetics with Language: A Photo Critique Dataset for Aesthetic Assessment. (arXiv:2206.08614v1 [cs.CV])

Web: http://arxiv.org/abs/2206.08614

Computational inference of aesthetics is an ill-defined task due to its
subjective nature. Many datasets have been proposed to tackle the problem by
providing pairs of images and aesthetic scores based on human ratings. However,
humans are better at expressing their opinion, taste, and emotions by means of
language rather than summarizing them in a single number. In fact, photo
critiques provide much richer information as they reveal how and why users rate
the aesthetics of visual stimuli. In this …

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