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Notes on ai in art
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ArtAnno: Annotating Implicit Semantics in Artworks through LLM Agent-Driven Bidirectional Human-AI Augmentation
The paper presents ArtAnno, a system that uses a bidirectional human-AI augmentation (BiHAA) framework to improve the efficiency of artwork annotation. This system helps experts by suggesting semantic labels and learns…
Man, Machine, and Masterpiece: Artistic Ownership in the AI Era
The paper discusses the integration of AI in creative work and the debates about artistic ownership that arise from it. The authors introduce ArtSplit, a prototype designed to quantify human and AI contributions across…
ArtMine: Discovering and Formalizing Artistic Processes
ArtMine is a framework designed to discover and formalize artistic processes from various historical sources. It uses an abductive agent to infer evidence-based production steps, which are then optimized to generate…
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