Computational aesthetics and applications

Bo, Yihang; Yu, Jinhui; Zhang, Kang

doi:10.1186/s42492-018-0006-1

Cited by 29 publications

(10 citation statements)

References 57 publications

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“…Today's scientists believe that the development of artificial intelligence and commuter learning based on computational aesthetics as well as developing neuron algorithms will drastically change our daily lives [24,25]. The same goes for problems associated with the field of visual arts and the creative process in generalthese could be resolved with aid of artificial intelligence, which will considerably aid in understanding the artistic legacy of artists and designers of the 21st century [26], including the visual approaches used by artists in different historical periods [27,28].…”

Section: Discussionmentioning

confidence: 99%

Developing an Approach to Colour Assessment of Works of Art on Aim to Creating a Comfortable and Harmonious Interior

Pylypchuk¹,

Polubok²,

Krivenko³

et al. 2021

Advances in Social Science, Education and Humanities Research

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This study was specially tailored to develop an approach to colour scheme evaluation for works of art within an interior with aim to create a comfortable and harmonious living space. To achieve the study objectives, the following methods were applied: article review; systematic review of key compositional and colour links which exist between the interior and an art object; algorithmic modelling. The study has resulted in developing standards of coordinating the interior with works of art, namely: the principles of coordinating the interior colour scheme and the visual art objects; the principle of impact of lighting on perception of colour combinations present in art-objects and the interior; the principle of impact of specific surface materials on perception of colour in an art-object an interior. Based on these standards of typical colour combinations in compositional scenarios were developed and analysed, also they were applied in designing flow charts and developing an algorithmic system. The algorithm underwent preliminary testing. The obtained results are in favour of its practical application in assessing the colour of art-objects with aim to harmonising the overall colour scheme in an interior.

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Section: Discussionmentioning

confidence: 99%

Developing an Approach to Colour Assessment of Works of Art on Aim to Creating a Comfortable and Harmonious Interior

Pylypchuk¹,

Polubok²,

Krivenko³

et al. 2021

Advances in Social Science, Education and Humanities Research

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“…For the evaluation of aesthetics, visual design elements are analyzed by integrating various computational methods. The measurement of the beauty of images with those methods is called computational aesthetics (CA) [60]. Brachmann and Redies [61] and Tang et al [62] give detailed reviews of concepts and methods of experimental CA.…”

Section: Computational Analysis Of Visual Aestheticsmentioning

confidence: 99%

Detecting visual design principles in art and architecture through deep convolutional neural networks

Demir

Cekmis

Yesilkaynak

et al. 2021

Automation in Construction

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Visual design is associated with the use of some basic design elements and principles. Those are applied by the designers in the various disciplines for aesthetic purposes, relying on an intuitive and subjective process. Thus, numerical analysis of design visuals and disclosure of the aesthetic value embedded in them are considered as hard. However, it has become possible with emerging artificial intelligence technologies. This research aims at a neural network model, which recognizes and classifies the design principles over different domains. The domains include artwork produced since the late 20th century; professional photos; and facade pictures of contemporary buildings. The data collection and curation processes, including the production of computationally-based synthetic dataset, is genuine. The proposed model learns from the knowledge of myriads of original designs, by capturing the underlying shared patterns. It is expected to consolidate design processes by providing an aesthetic evaluation of the visual compositions with objectivity.

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“…The aesthetic appreciation, relating to the enjoyment or study of the beauty, plays a fundamental role in the history and culture of the human being [4]. The study of aesthetics starting from the philosophy has extended to fields of the psychology [22,40], neuroscience [10], and computer science [55].…”

Section: Related Workmentioning

confidence: 99%

A Hypothesis for the Aesthetic Appreciation in Neural Networks

Xu¹,

Wang²,

Xue³

et al. 2021

Preprint

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This paper proposes a hypothesis for the aesthetic appreciation that aesthetic images make a neural network strengthen salient concepts and discard inessential concepts. In order to verify this hypothesis, we use multi-variate interactions to represent salient concepts and inessential concepts contained in images. Furthermore, we design a set of operations to revise images towards more beautiful ones. In experiments, we find that the revised images are more aesthetic than the original ones to some extent. The code will be released when the paper is accepted.

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Computational aesthetics and applications

Cited by 29 publications

References 57 publications

Developing an Approach to Colour Assessment of Works of Art on Aim to Creating a Comfortable and Harmonious Interior

Developing an Approach to Colour Assessment of Works of Art on Aim to Creating a Comfortable and Harmonious Interior

Detecting visual design principles in art and architecture through deep convolutional neural networks

A Hypothesis for the Aesthetic Appreciation in Neural Networks

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