arXiv AI By Zhaoxi Wei, Hongye Yang, Shuyuan Tian

Sanyu Studio: A Multi-Agent System for Art-Historical Narrative Construction

Read the original on arXiv AI →

Sanyu Studio is a multi‑agent dialogue system that treats 321 Sanyu oil paintings as agents equipped with fact, interpretation, organization, and memory‑filtering mechanisms. The paper reports on a seven‑day workshop with eight art‑university participants, showing that user prompts, evidence organization, and cognitive tendencies produced divergent yet coherent digital narratives of Sanyu. The study suggests that, when historical evidence is limited, AI can amplify human agency and provide public audiences with an interactive entry point into art‑historical interpretation.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

arXiv AI
Aug 6

ArtAnno: Annotating Implicit Semantics in Artworks through LLM Agent-Driven Bidirectional Human-AI Augmentation

arXiv:2608. 05026v1 Announce Type: cross Abstract: High-quality annotation of artworks is essential for computational art research, yet extracting implicit semantics remains challenging due to the reliance on culturally grounded meanings and deep contextual knowledge behind the images.

By Xiaoyan Gu, Yifang Wang, Wenqing Zheng, Haozhong Liu, Yixia Zheng, Peiyi Jiang, Wenjie Ning, Wei Zhang, Wei Chen
arXiv AI
Jul 10

ArtMine: Discovering and Formalizing Artistic Processes

arXiv:2607. 08331v1 Announce Type: cross Abstract: Understanding how artworks are created requires reasoning about the iterative decisions, material operations, and contextual influences that shape artistic production.

By Kaustubh Kumar, Ashutosh Ranjan, Vivek Srivastava, Blessin Varkey, Shirish Karande
Hugging Face Trending Papers
Jul 9

ArtMine: Discovering and Formalizing Artistic Processes

Understanding how artworks are created requires reasoning about the iterative decisions, material operations, and contextual influences that shape artistic production. While recent generative AI systems can synthesize artworks with high fidelity, they primarily model distributions over finished artifacts rather than the creative processes underlying their creation.