mlsanityData to 7 Oct 2026

Combating the "Sameness" in AI Art: Reflections on the Interactive AI Installation Fencing Hallucination

arXiv 2311.17080 ↗First posted 28 Nov 2023cs.CV cs.AIcited by 1

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Abstract (arXiv)

The article summarizes three types of "sameness" issues in Artificial Intelligence(AI) art, each occurring at different stages of development in AI image creation tools. Through the Fencing Hallucination project, the article reflects on the design of AI art production in alleviating the sense of uniformity, maintaining the uniqueness of images from an AI image synthesizer, and enhancing the connection between the artworks and the audience. This paper endeavors to stimulate the creation of distinctive AI art by recounting the efforts and insights derived from the Fencing Hallucination project, all dedicated to addressing the issue of "sameness".

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 3 of its 7 references that are in the map. First posted on arXiv 28 Nov 2023.

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3 of 7 references.

References · 3

  1. 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,694
  2. 2019Analyzing and Improving the Image Quality of StyleGANcited by 3,580
  3. 2017CAN: Creative Adversarial Networks, Generating "Art" by Learning About Styles and Deviating from Style Normscited by 96

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Citing papers per year: 2024: 1.

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  1. 2024Towards Kinetic Manipulation of the Latent Spacecited by 0