DeepArt

DeepArt
Original authorsMatthias Bethge, Alex Ecker, Leon Gatys, Łukasz Kidziński, Michał Warchoł
DeveloperDeepArt UG (haftungsbeschränkt)
Initial release1 October 2015 (2015-10-01)
Operating systemWeb application
TypePhoto and video
LicenseFreeware
Websitedeepart.io

DeepArt or DeepArt.io was launched as an online tool that allowed users to generate stylized images by combining the content of one image with the artistic style of another. The service was an early public implementation of neural style transfer, allowing non-technical users to experiment with machine learning-generated artwork. The website became inaccessible by August 2022.

History

DeepArt was developed as an online platform that allowed users to create artistic images by using an algorithm to redraw one image using the stylistic elements of another image.[1][2][3][4]

The service was based on a Neural Style Transfer algorithm derived from the research paper "A Neural Algorithm of Artistic Style".[5][6]

Using the DeepArt platform, users uploaded a source image and selected another image to provide stylistic features. The algorithm then generated a new image that combined the content of the first image with the artistic style of the second, allowing users to create images resembling the styles of other artists.[7][8][9][10][11][12][13]

The website became inaccessible sometime in or after August 2022.[14]

A similar program, Prisma, later launched as an iOS and Android app, used comparable neural style transfer technology.[15][16]

See also

References

  1. ^ Culpan, Daniel (1 September 2016). "This algorithm can create an imitation Van Gogh in 60 minutes". Wired.co.uk: Wired. Retrieved 28 November 2016.
  2. ^ McFarland, Matt (31 August 2015). "This algorithm can create a new Van Gogh or Picasso in just an hour". Washington Post. Retrieved 28 November 2016.
  3. ^ Parkinson, Hannah Jane (2 September 2015). "Computer algorithm recreates Van Gogh painting in one hour". The Guardian. Retrieved 28 November 2016.
  4. ^ Meusers, Richard (3 September 2015). "Neuronale Netzwerke: Computer malen wie van Gogh". spiegel.de. spiegel. Retrieved 28 November 2016.
  5. ^ Gatys, Leon; Ecker, Alexander; Bethge, Matthias (26 August 2015). "A Neural Algorithm of Artistic Style". arXiv:1508.06576 [cs.CV].
  6. ^ "Depart.io - About". Archived from the original on 7 November 2016. Retrieved 28 November 2016.
  7. ^ Del Prado, Guia Marie (2 September 2015). "This artificially intelligent program can transform photos to make them look like famous paintings". Business Insider. businessinsider. Retrieved 28 November 2015.
  8. ^ Fallon, Claire (4 September 2015). "Could An Instagram Filter Turn Your Photos Into Masterful Paintings?". TheHuffingtonPost.com. The Huffington Post. Retrieved 28 November 2016.
  9. ^ Weisberger, Mindy (14 April 2016). "Turn Your Photos Into Fine-Art 'Paintings' on Free Website". livescience.com. livescience. Retrieved 28 November 2016.
  10. ^ Leung, Andrew (21 April 2016). "This Website Turns Your Selfies Into Works of Art Worthy of a Museum". Mic.com. Mic. Retrieved 28 November 2016.
  11. ^ McFarland, Matt (15 April 2016). "With new computer technology, data imitates art". The Everett Herald. Retrieved 28 November 2016.
  12. ^ Brown, Molly (2 September 2015). "A computer algorithm can now create a Picasso-like painting in an hour". geekwire.com. geekwire. Retrieved 28 November 2016.
  13. ^ McDonald, Glenn (11 April 2016). "A.I. Painter Emulates Great Artists". news.discovery.com. Discovery News. Archived from the original on 17 May 2016. Retrieved 28 November 2016.
  14. ^ "deepart.io - become a digital artist". 2022-08-04. Archived from the original on 2022-08-04. Retrieved 2025-05-19.
  15. ^ Sawers, Paul (25 July 2016). "With 10M downloads on iOS, Prisma now lets Android users turn their photos into works of art". venturebeat.com. venturebeat. Archived from the original on 28 November 2016. Retrieved 28 November 2016.
  16. ^ Vincent, James (8 November 2016). "Now you can Facebook Live with Prisma's art filters 4". Theverge.com. The Verge. Retrieved 28 November 2016.
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