mlsanityData to 14 Oct 2026

Seizing the Means of Production: Exploring the Landscape of Crafting, Adapting and Navigating Generative AI Models in the Visual Arts

arXiv 2404.17688 ↗First posted 26 Apr 2024cs.HC cs.AIcited by 2

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Abstract (arXiv)

In this paper, we map out the landscape of options available to visual artists for creating personal artworks, including crafting, adapting and navigating deep generative models. Following that, we argue for revisiting model crafting, defined as the design and manipulation of generative models for creative goals, and motivate studying and designing for model crafting as a creative activity in its own right.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 16 of its 48 references that are in the map. First posted on arXiv 26 Apr 2024.

Builds on

16 of 48 references.

References · 16

  1. 2019PyTorch: An Imperative Style, High-Performance Deep Learning Librarycited by 20,305
  2. 2023SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesiscited by 4,356
  3. 2020Rewriting a Deep Generative Modelcited by 107
  4. 2020Resolution Dependent GAN Interpolation for Controllable Image Synthesis Between Domainscited by 96
  5. 2023Art and the science of generative AI: A deeper divecited by 95
  6. 2018The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communitiescited by 78
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  8. 2023PromptPaint: Steering Text-to-Image Generation Through Paint Medium-like Interactionscited by 34
  9. 2017Direct-Manipulation Visualization of Deep Networkscited by 28
  10. 2022A Comprehensive Survey on Data-Efficient GANs in Image Generationcited by 20
  11. 2023A Survey on Generative Modeling with Limited Data, Few Shots, and Zero Shotcited by 19
  12. 2023Model Sketching: Centering Concepts in Early-Stage Machine Learning Model Designcited by 15
4 more
  1. 2021Active Divergence with Generative Deep Learning -- A Survey and Taxonomycited by 12
  2. 2023An HCI-Centric Survey and Taxonomy of Human-Generative-AI Interactionscited by 9
  3. 2019TorchGAN: A Flexible Framework for GAN Training and Evaluationcited by 6
  4. 2019A Visual Programming Paradigm for Abstract Deep Learning Model Developmentcited by 5

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Cited by year

Citing papers per year: 2025: 2.

2 papers.

  1. 2025Adaptable Symbolic Music Infilling with MIDI-RWKVcited by 2
  2. 2025Musical Agent Systems: MACAT and MACataRTcited by 0