English
Related papers

Related papers: A scientific inquiry into modern art

200 papers

Quantitative analysis of visual arts has recently expanded to encompass a more extensive array of artworks due to the availability of large-scale digitized art collections. Consistent with formal analyses by art historians, many of these…

Contemporary approaches to assisted scientific discovery use language models to automatically generate large numbers of potential hypothesis to test, while also automatically generating code-based experiments to test those hypotheses. While…

Artificial Intelligence · Computer Science 2025-09-23 Peter Jansen , Samiah Hassan , Ruoyao Wang

With the rise of freely available image generators, AI-generated art has become the centre of a series of heated debates, one of which concerns the concept of human creativity. Can an image generation AI exhibit ``creativity'' of the same…

Human-Computer Interaction · Computer Science 2024-06-28 Aditi Ramaswamy , Melane Navaratnarajah , Hana Chockler

This paper is about authenticating genuine van Gogh paintings from forgeries. The authentication process depends on two key steps: feature extraction and outlier detection. In this paper, a geometric tight frame and some simple statistics…

Machine Learning · Computer Science 2015-01-14 Haixia Liu , Raymond H. Chan , Yuan Yao

Recent technological advances in synthetic data have enabled the generation of images with such high quality that human beings cannot tell the difference between real-life photographs and Artificial Intelligence (AI) generated images. Given…

Computer Vision and Pattern Recognition · Computer Science 2023-03-27 Jordan J. Bird , Ahmad Lotfi

Synthetic images disseminated online significantly differ from those used during the training and evaluation of the state-of-the-art detectors. In this work, we analyze the performance of synthetic image detectors as deceptive synthetic…

Computer Vision and Pattern Recognition · Computer Science 2024-08-22 Dimitrios Karageorgiou , Quentin Bammey , Valentin Porcellini , Bertrand Goupil , Denis Teyssou , Symeon Papadopoulos

We propose an approach for testing the hypothesis that two realizations of the random variables in the form of histograms are taken from the same statistical population (i.e. that two histograms are drawn from the same distribution). The…

Data Analysis, Statistics and Probability · Physics 2013-05-22 Sergey Bityukov , Nikolai Krasnikov , Alexander Nikitenko , Vera Smirnova

The applicability of computer vision to real paintings and artworks has been rarely investigated, even though a vast heritage would greatly benefit from techniques which can understand and process data from the artistic domain. This is…

Computer Vision and Pattern Recognition · Computer Science 2019-05-20 Matteo Tomei , Marcella Cornia , Lorenzo Baraldi , Rita Cucchiara

Painting is an art form that has long functioned as a major channel for the creative expression and communication of humans, its evolution taking place under an interplay with the science, technology, and social environments of the times.…

Computer Vision and Pattern Recognition · Computer Science 2018-10-04 Byunghwee Lee , Daniel Kim , Seunghye Sun , Hawoong Jeong , Juyong Park

We investigate the contentions that Jackson Pollock's drip paintings are fractals produced by the artist's Levy distributed motion and that fractal analysis may be used to authenticate works of uncertain provenance[1-5]. We find that the…

Physics and Society · Physics 2009-09-02 Katherine Jones-Smith , Harsh Mathur

The purpose of this paper is to define semi- and subanalytic subsets and maps in the context of real analytic orbifolds and to study their basic properties. We prove results analogous to some well-known results in the manifold case. For…

Geometric Topology · Mathematics 2011-04-26 Marja Kankaanrinta

Automatic art analysis employs different image processing techniques to classify and categorize works of art. When working with artistic images, we need to take into account further considerations compared to classical image processing.…

Computer Vision and Pattern Recognition · Computer Science 2023-08-30 Javier Fumanal-Idocin , Javier Andreu-Perez , Oscar Cordón , Hani Hagras , Humberto Bustince

One of the most useful and correct methodological approaches in bibliometrics is ranking. In the context of highly skewed bibliometric distributions and severe distortions caused by outliers, it is often the preferable way of analysis.…

Digital Libraries · Computer Science 2022-08-31 Vladimir Pislyakov

Creative works, whether paintings or memes, follow unique journeys that result in their final form. Understanding these journeys, a process known as "provenance analysis", provides rich insights into the use, motivation, and authenticity…

Computer Vision and Pattern Recognition · Computer Science 2019-03-08 Aparna Bharati , Daniel Moreira , Joel Brogan , Patricia Hale , Kevin W. Bowyer , Patrick J. Flynn , Anderson Rocha , Walter J. Scheirer

We present interactive painting processes in which a painter and various neural style transfer algorithms interact on a real canvas. Understanding what these algorithms' outputs achieve is then paramount to describe the creative agency in…

Human-Computer Interaction · Computer Science 2020-03-17 Thomas Kerdreux , Louis Thiry , Erwan Kerdreux

With the ever-growing power of generative artificial intelligence, deepfake and artificially generated (synthetic) media have continued to spread online, which creates various ethical and moral concerns regarding their usage. To tackle…

Computer Vision and Pattern Recognition · Computer Science 2024-04-03 Shahzeb Naeem , Ramzi Al-Sharawi , Muhammad Riyyan Khan , Usman Tariq , Abhinav Dhall , Hasan Al-Nashash

Validity is the truth of an inference made from evidence, such as data collected in an experiment, and is central to working scientifically. Given the maturity of the domain of music information research (MIR), validity in our opinion…

Sound · Computer Science 2023-01-05 Bob L. T. Sturm , Arthur Flexer

Most recent style-transfer techniques based on generative architectures are able to obtain synthetic multimedia contents, or commonly called deepfakes, with almost no artifacts. Researchers already demonstrated that synthetic images contain…

Computer Vision and Pattern Recognition · Computer Science 2022-06-08 Luca Guarnera , Oliver Giudice , Sebastiano Battiato

The last decade has seen tremendous progress in our ability to generate realistic-looking data, be it images, text, audio, or video. Here, we discuss the closely related problem of quantifying realism, that is, designing functions that can…

Machine Learning · Computer Science 2024-05-22 Lucas Theis

Quantifier-elimination or model-completeness of the affine part of some classical first order theories are proved.

Logic · Mathematics 2025-09-10 Seyed-Mohammad Bagheri