arXiv Computer Vision By Reetikaa Reddy Munnangi, Barbara Giunti

The persistence of painting styles

Read the original on arXiv Computer Vision →

The paper demonstrates that persistent homology, a tool from topological data analysis, can objectively and interpretable distinguish artistic styles. It shows that PH can differentiate between artists from different currents, between artists within the same current, and can separate an artist’s real works from AI‑generated images in that artist’s style.

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 Computer Vision.

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