mlsanityData to 7 Oct 2026

Can Computers Create Art?

arXiv 1801.04486 ↗First posted 13 Jan 2018cs.AI cs.CV cs.GRcited by 18

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Abstract (arXiv)

This essay discusses whether computers, using Artificial Intelligence (AI), could create art. First, the history of technologies that automated aspects of art is surveyed, including photography and animation. In each case, there were initial fears and denial of the technology, followed by a blossoming of new creative and professional opportunities for artists. The current hype and reality of Artificial Intelligence (AI) tools for art making is then discussed, together with predictions about how AI tools will be used. It is then speculated about whether it could ever happen that AI systems could be credited with authorship of artwork. It is theorized that art is something created by social agents, and so computers cannot be credited with authorship of art in our current understanding. A few ways that this could change are also hypothesized.

Key facts. Cited by 18 papers in the map (data through 7 Oct 2026). First posted on arXiv 13 Jan 2018.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 4; 2022: 0; 2023: 6; 2024: 2; 2025: 3; 2026: 3.

18 papers.

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  1. 2023Art and the science of generative AI: A deeper divecited by 93
  2. 2021Understanding and Creating Art with AI: Review and Outlookcited by 60
  3. 2023ConceptLab: Creative Concept Generation using VLM-Guided Diffusion Prior Constraintscited by 25
  4. 2024pOps: Photo-Inspired Diffusion Operatorscited by 6
  5. 2023Creative Data Generation: A Review Focusing on Text and Poetrycited by 5
  6. 2021Automatic analysis of artistic paintings using information-based measurescited by 4
  7. 2025VLM-Guided Adaptive Negative Prompting for Creative Generationcited by 3
  8. 2021Imaginative Walks: Generative Random Walk Deviation Loss for Improved Unseen Learning Representationcited by 2
  9. 2021Object Retrieval and Localization in Large Art Collections using Deep Multi-Style Feature Fusion and Iterative Votingcited by 2
  10. 2023Controllable Multi-domain Semantic Artwork Synthesiscited by 2
  11. 2023Continual Zero-Shot Learning through Semantically Guided Generative Random Walkscited by 2
  12. 2025From Sound to Sight: Towards AI-authored Music Videoscited by 2
6 more
  1. 2023Everyone Can Be Picasso? A Computational Framework into the Myth of Human versus AI Paintingcited by 1
  2. 2024Artificial Intelligence for Geometry-Based Feature Extraction, Analysis and Synthesis in Artistic Images: A Surveycited by 1
  3. 2026Inspiration Seeds: Learning Non-Literal Visual Combinations for Generative Explorationcited by 1
  4. 2025Mimesis, Poiesis, and Imagination: Exploring Text-to-Image Generation of Biblical Narrativescited by 0
  5. 2026Beyond Compliance: How AI Could Help Creative Writers by Refusing Themcited by 0
  6. 2026Collective creativity in hybrid societiescited by 0