Copying style, Extracting value: Illustrators' Perception of AI Style Transfer and its Impact on Creative Labor
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Abstract (arXiv)
Generative text-to-image models are disrupting the lives of creative professionals. Specifically, illustrators are threatened by models that claim to extract and reproduce their style. Yet, research on style transfer has rarely focused on their perspectives. We provided four illustrators with a model fine-tuned to their style and conducted semi-structured interviews about the model's successes, limitations, and potential uses. Evaluating their output, artists reported that style transfer successfully copies aesthetic fragments but is limited by content-style disentanglement and lacks the crucial emergent quality of their style. They also deemed the others' copies more successful. Understanding the results of style transfer as "boundary objects," we analyze how they can simultaneously be considered unsuccessful by artists and poised to replace their work by others. We connect our findings to critical HCI frameworks, demonstrating that style transfer, rather than merely a Creativity Support Tool, should also be understood as a supply chain optimization one.
Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). First posted on arXiv 25 Sep 2024.
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Citing papers per year: 2025: 3; 2026: 5.
8 papers.
- 2025AI Safety Should Prioritize the Future of Workcited by 11
- 2026Can Good Writing Be Generative? Expert-Level AI Writing Emerges through Fine-Tuning on High-Quality Bookscited by 9
- 2025CHOIR: A Chatbot-mediated Organizational Memory Leveraging Communication in University Research Labscited by 1
- 2025AnimAgents: Coordinating Multi-Stage Animation Pre-Production with Human-Multi-Agent Collaborationcited by 1
- 2026Rewriting Video: Text-Driven Reauthoring of Video Footagecited by 0
- 2026"Better Ask for Forgiveness than Permission": Practices and Policies of AI Disclosure in Freelance Workcited by 0
- 2026Hist2Style: Histogram-Guided Stylization with Bilateral Gridscited by 0
- 2026From Style Replication to Style Exploration: Enabling Art Style Exploration with Analyze-Experiment-Resituate Frameworkcited by 0
- 2026From Style Replication to Style Exploration: Enabling Art Style Exploration with Analyze-Experiment-Resituate Framework14 Aug 2026
- 2026Hist2Style: Histogram-Guided Stylization with Bilateral Grids1 Jun 2026
- 2026"Better Ask for Forgiveness than Permission": Practices and Policies of AI Disclosure in Freelance Work8 Mar 2026
- 2026Can Good Writing Be Generative? Expert-Level AI Writing Emerges through Fine-Tuning on High-Quality Books26 Jan 2026
- 2026Rewriting Video: Text-Driven Reauthoring of Video Footage13 Jan 2026
- 2025AnimAgents: Coordinating Multi-Stage Animation Pre-Production with Human-Multi-Agent Collaboration22 Nov 2025
- 2025CHOIR: A Chatbot-mediated Organizational Memory Leveraging Communication in University Research Labs24 Sep 2025
- 2025AI Safety Should Prioritize the Future of Work16 Apr 2025