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Digital art

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Irrational Geometrics digital art installation 2008 by Pascal Dombis
Joseph Nechvatal birth Of the viractual 2001 computer-robotic assisted acrylic on canvas
The Cave Automatic Virtual Environment at the University of Illinois, Chicago

Digital art refers to as any artistic work or practice that uses digital technology as part of the creative or presentation process, or more specifically as computational art that uses and engages with digital media.[1]

Since the 1960s, various names have been used to describe digital art, including computer art, multimedia art[2] and new media art.[3][4]

History

After some initial resistance,[5] the impact of digital technology has transformed activities such as painting, literature, drawing, sculpture and music/sound art, while new techniques, such as internet art, digital installation art, and virtual reality, have emerged.[6]

Lillian Schwartz's Comparison of Leonardo's self portrait and the Mona Lisa based on Schwartz's Mona Leo. An example of a collage of digitally manipulated photographs

Andy Warhol created digital art using a Commodore Amiga where the computer was publicly introduced at the Lincoln Center, New York in July 1985. An image of Debbie Harry was captured in monochrome from a video camera and digitized into a graphics program called ProPaint. Warhol manipulated the image adding colour by using flood fills.[7][8]

Art that uses digital tools

Digital paintings are completed in much the same way as traditional ones.

Digital art can be purely computer-generated (such as fractals and algorithmic art) or taken from other sources, such as a scanned photograph or an image drawn using vector graphics software using a mouse or graphics tablet. Artworks are considered digital painting when created in a similar fashion to non-digital paintings but using software on a computer platform and digitally outputting the resulting image as painted on canvas.

Amidst varied opinions on the pros and cons of digital technology on the arts, there seems to be a strong consensus within the digital art community that it has created a "vast expansion of the creative sphere", i.e., that it has greatly broadened the creative opportunities available to professional and non-professional artists alike.[9]

Whilst 2D and 3D digital art is beneficial as it allows preservation of history that would otherwise have been destroyed by events like natural disasters and war, there is the issue of who should own these 3D scans - i.e. who should own the digital copyrights.[10]

Computer-generated visual media

See also: Computer art
Designer Madsen created a picture art generated by picture generator: Midjourney. Named "Road"
A procedurally generated photorealistic landscape created with Terragen. Terragen has been used in creating CGI for movies.

Digital visual art consists of either 2D visual information displayed on an electronic visual display or information mathematically translated into 3D information, viewed through perspective projection on an electronic visual display. The simplest is 2D computer graphics which reflect how you might draw using a pencil and a piece of paper. In this case, however, the image is on the computer screen and the instrument you draw with might be a tablet stylus or a mouse. What is generated on your screen might appear to be drawn with a pencil, pen or paintbrush. The second kind is 3D computer graphics, where the screen becomes a window into a virtual environment, where you arrange objects to be "photographed" by the computer. Typically a 2D computer graphics use raster graphics as their primary means of source data representations, whereas 3D computer graphics use vector graphics in the creation of immersive virtual reality installations. A possible third paradigm is to generate art in 2D or 3D entirely through the execution of algorithms coded into computer programs. This can be considered the native art form of the computer, and an introduction to the history of which is available in an interview with computer art pioneer Frieder Nake.[11] Fractal art, Datamoshing, algorithmic art and real-time generative art are examples.

Computer generated 3D still imagery

Main article: 3D computer graphics

3D graphics are created via the process of designing imagery from geometric shapes, polygons or NURBS curves[12] to create three-dimensional objects and scenes for use in various media such as film, television, print, rapid prototyping, games/simulations and special visual effects.

There are many software programs for doing this. The technology can enable collaboration, lending itself to sharing and augmenting by a creative effort similar to the open source movement, and the creative commons in which users can collaborate in a project to create art.[13]

Pop surrealist artist Ray Caesar works in Maya (a 3D modeling software used for digital animation), using it to create his figures as well as the virtual realms in which they exist.

Computer generated animated imagery

Main article: Computer-generated imagery
See also: Computer animation

Computer-generated animations are animations created with a computer, from digital models created by the 3D artists or procedurally generated. The term is usually applied to works created entirely with a computer. Movies make heavy use of computer-generated graphics; they are called computer-generated imagery (CGI) in the film industry. In the 1990s, and early 2000s CGI advanced enough so that for the first time it was possible to create realistic 3D computer animation, although films had been using extensive computer images since the mid-70s. A number of modern films have been noted for their heavy use of photo realistic CGI.[14]

Digital painting

See also: Digital painting

Digital painting[15] mainly refers to the process of creating paintings on computer software based on computers or graphic tables. Through pixel simulation, digital brushes in digital software (see the software in Digital painting) can imitate traditional painting paints and tools, such as oil, acrylic acid, pastel, charcoal, and airbrush. Users of the software can also customize the pixel size to achieve the unique visual effect (customized brushes).

AI picture generator art

See also: Artificial intelligence art

Artists have used artificial intelligence to create artwork since at least the 1960s.[16] Since their design in 2014, some artists have created artwork using a generative adversarial network (GAN), which is a machine learning framework that allows two "algorithms" to compete with each other and iterate[17][18]. It is usually used to let the computer find the best solution by itself. It can be used to generate pictures that have visual effects similar to traditional fine art. The essential idea of image generators is that people can use text descriptions to let AI convert their text into visual picture content. Anyone can turn their language into a painting through a picture generator[19]. And some artists can use image generators to generate their paintings instead of drawing from scratch, and then they use the generated paintings as a basis to improve them and finally create new digital paintings. This greatly reduces the threshold of painting and challenges the traditional definition of painting art.

Generation Process

Generally, the user can set the input, and the input content includes detailed picture content that the user wants. For example, the content can be a scene's content, characters, weather, character relationships, specific items, etc. It can also include selecting a specific artist style, screen style, image pixel size, brightness, etc. Then picture generators will return several similar pictures[18] generated according to the input (generally, 4 pictures are given now). After receiving the results generated by picture generators, the user can select one picture as the result he wants, or let the generator redraw and return to new pictures.

In addition, it is worth mentioning the whole process: it is also similar to the "generator" and "discriminator" modules[17] in GANs.

Awards and recognition

In 2018, the artificial intelligence art auction was held at Christie's auction house in New York. The auction price of an artificial intelligence work "Edmond de Bellamy"[20] created by a collective in Paris named "Obvious" was $432500, far exceeding its original estimate.

At the end of August 2022, a person named Allen Jason won the first prize in the Colorado State Fair's fine art competition through the digital art work "Théâtre D'opéra Spatial[21][19]" made from a AI picture generator Midjourney.

Art made for digital media

In contemporary art, the term digital art is used primarily to describe visual art that is not just made with digital tools, but that is highly computational and explicitly engages with digital technologies. Art historian Christiane Paul writes that it "is highly problematic to classify all art that makes use of digital technologies somewhere in its production and dissemination process as digital art, since it makes it almost impossible to arrive at any unifying statement about the art form".[22]

Digital installation art

See also: interactive art
Boundary Functions at the Tokyo Intercommunications Center, 1999.
Boundary Functions (1998) interactive floor projection by Scott Snibbe at the NTT InterCommunication Center in Tokyo.[23]

Digital installation art constitutes a broad field of activity and incorporates many forms. Some resemble video installations, particularly large scale works involving projections and live video capture. By using projection techniques that enhance an audience's impression of sensory envelopment, many digital installations attempt to create immersive environments. Others go even further and attempt to facilitate a complete immersion in virtual realms. This type of installation is generally site-specific, scalable, and without fixed dimensionality, meaning it can be reconfigured to accommodate different presentation spaces.[24]

Noah Wardrip-Fruin's "Screen" (2003) is an example of interactive digital installation art which makes use of a Cave Automatic Virtual Environment to create an interactive experience.[25] Scott Snibbe's "Boundary Functions" is an example of augmented reality digital installation art, which responds to people who enter the installation by drawing lines between people indicating their personal space.[23]

Internet art and net.art

See also: Internet art

Internet art is digital art that uses the specific characteristics of the internet, and is exhibited on the internet.

Digital art and blockchain

See also: NFT

Blockchain, and more specifically NFTs, have been associated with digital art since the NFTs craze of 2020 and 2021. While the technology received many critics and has many flaws related to plagiarism and fraud (due to its almost completely unregulated nature),[26] auction houses like Sotheby's, Christie's and various museums and galleries in the world started collaborations and partnerships with digital artists, selling NFTs associated with digital artworks (via NFT platforms) and showcasing those artworks (associated to the respective NFTs) both in virtual galleries and real life screens, monitors and TVs.[27][28]

Art theorists and historians

Notable art theorists and historians in this field include Oliver Grau, Jon Ippolito, Christiane Paul, Frank Popper, Jasia Reichardt, Mario Costa, Christine Buci-Glucksmann, Dominique Moulon, Robert C. Morgan, Roy Ascott, Catherine Perret, Margot Lovejoy, Edmond Couchot, Fred Forest and Edward A. Shanken.

Scholarship and archives

In addition to the creation of original art, research methods that utilize AI have been generated to quantitatively analyze digital art collections. This has been made possible due to large-scale digitization of artwork in the past few decades. Although the main goal of digitization was to allow for accessibility and exploration of these collections, the use of AI in analyzing them has brought about new research perspectives.[29]

Two computational methods, close reading and distant viewing, are the typical approaches used to analyze digitized art.[30] Close reading focuses on specific visual aspects of one piece. Some tasks performed by machines in close reading methods include computational artist authentication and analysis of brushstrokes or texture properties. In contrast, through distant viewing methods, the similarity across an entire collection for a specific feature can be statistically visualized. Common tasks relating to this method include automatic classification, object detection, multimodal tasks, knowledge discovery in art history, and computational aesthetics.[29] Whereas distant viewing includes the analysis of large collections, close reading involves one piece of artwork.

Subtypes

See also

References

  1. ^ Paul, Christiane (2016). "Introduction From Digital to Post‐Digital—Evolutions of an Art Form". In Paul, Christiane (ed.). A Companion to Digital Art. Malden, MA: Wiley. pp. 1–2. ISBN 978-1-118-47520-1.
  2. ^ Reichardt, Jasia (1974). "Twenty years of symbiosis between art and science". Art and Science. XXIV (1): 41–53.
  3. ^ Christiane Paul (2006). Digital Art, pp. 7–8. Thames & Hudson.
  4. ^ Lieser, Wolf. Digital Art. Langenscheidt: h.f. ullmann. 2009, pp. 13–15
  5. ^ Taylor, G. D. (2012). The soulless usurper: Reception and criticism of early computer art. In H. Higgins, & D. Kahn (Eds.), Mainframe experimentalism: Early digital computing in the experimental arts. Berkeley, CA: University of California Press
  6. ^ Donald Kuspit The Matrix of Sensations VI: Digital Artists and the New Creative Renaissance
  7. ^ 'Reimer, Jeremy (October 21, 2007). "A history of the Amiga, part 4: Enter Commodore". Arstechnica.com. Retrieved June 10, 2011.
  8. ^ YouTube. Archived from the original on 2009-05-07.
  9. ^ Bessette, Juliette; Frederic Fol Leymarie; Glenn W. Smith (16 September 2019). "Trends and Anti-Trends in Techno-Art Scholarship: The Legacy of the Arts "Machine" Special Issues". Arts. 8 (3): 120. doi:10.3390/arts8030120.
  10. ^ Sydell, Laura (21 May 2018). "3D Scans Help Preserve History, But Who Should Own Them? 2018". NPR. Archived from the original on 2022-01-18. Retrieved 7 February 2021.
  11. ^ Smith, Glenn (31 May 2019). "An Interview with Frieder Nake". Arts. 8 (2): 69. doi:10.3390/arts8020069.
  12. ^ Wands, Bruce (2006). Art of the Digital Age, pp. 15–16. Thames & Hudson.
  13. ^ Foundation, Blender. "About". blender.org. Retrieved 2021-02-25.
  14. ^ Lev Manovich (2001) The Language of New Media Cambridge, Massachusetts: The MIT Press.
  15. ^ Jackson, Wallace (2015). Digital Painting Techniques Using Corel Painter 2016 (1st ed.). Berkeley, CA: Imprint: Apress. pp. intro. ISBN 9781484217368.
  16. ^ McCorduck, Pamela (1991). AARONS's Code: Meta-Art. Artificial Intelligence, and the Work of Harold Cohen. New York: W. H. Freeman and Company. p. 210. ISBN 0-7167-2173-2.
  17. ^ a b Andrej Karpathy; Pieter Abbeel; Greg Brockman; Peter Chen; Vicki Cheung; Rocky Duan; Ian Goodfellow; Durk Kingma; Jonathan Ho; Rein Houthooft; Tim Salimans; John Schulman; Ilya Sutskever; Wojciech Zaremba (2016-06-16). "Generative Models, OpenAI". OpenAI. Retrieved 2022-10-09.{{cite web}}: CS1 maint: multiple names: authors list (link)
  18. ^ a b Ramesh, Aditya; Pavlov, Mikhail; Goh, Gabriel; Gray, Scott; Voss, Chelsea; Radford, Alec; Chen, Mark; Sutskever, Ilya (2021-02-26). "Zero-Shot Text-to-Image Generation". arXiv:2102.12092 [cs].
  19. ^ a b Roose, Kevin (2022-09-02). "An A.I.-Generated Picture Won an Art Prize. Artists Aren't Happy". The New York Times. Retrieved 2022-10-04.
  20. ^ Cohn, Gabe (2018-10-25). "AI Art at Christie's Sells for $432,500". The New York Times. ISSN 0362-4331. Retrieved 2022-10-04.
  21. ^ "2022 Fine Arts Placings of the Colorado State Fair" (PDF).{{cite web}}: CS1 maint: url-status (link)
  22. ^ Christiane Paul, ed. (2016). A companion to digital art. Chichester, West Sussex: Wiley. pp. 1–2. ISBN 978-1-118-47521-8. OCLC 925426732.
  23. ^ a b "Boundary Functions"
  24. ^ Paul, Christiane (2006). Digital Art, pp 71. Thames & Hudson.
  25. ^ "screen - noah wardrip-fruin".
  26. ^ "Does NFT Art Have A Place In The Museum In 2022?". jingculturecommerce.com. 6 January 2022.
  27. ^ "Natively Digital: A Curated NFT Sale". sothebys.com.
  28. ^ "Beeple sold an NFT for $69 million". theverge.com. 11 March 2021.
  29. ^ a b Cetinic, Eva; She, James (2022-02-16). "Understanding and Creating Art with AI: Review and Outlook". ACM Transactions on Multimedia Computing, Communications, and Applications. 18 (2): 66:1–66:22. arXiv:2102.09109. doi:10.1145/3475799. ISSN 1551-6857. S2CID 231951381.
  30. ^ Lang, Sabine; Ommer, Bjorn (2018). "Reflecting on How Artworks Are Processed and Analyzed by Computer Vision: Supplementary Material". Proceedings of the European Conference on Computer Vision (ECCV) Workshops – via Computer Vision Foundation.
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