microsoft/art

Exploring the connections between artworks with deep "Visual Analogies"

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Emerging

Implements conditional image retrieval using deep semantic features from ImageNet-trained vision networks to enable specialized K-Nearest Neighbor queries across art collections. The system maps artworks into high-dimensional semantic space where distances are meaningful, allowing discovery of visual analogies across vastly different media, cultures, and time periods. Integrates collections from The Metropolitan Museum of Art and Rijksmuseum with a web interface for interactive exploration.

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98

Forks

17

Language

TypeScript

License

MIT

Last pushed

Jul 27, 2023

Commits (30d)

0

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