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AnoStyler: Text-Driven Localized Anomaly Generation via Lightweight Style Transfer

Yulim So, Seokho Kang 0001. AnoStyler: Text-Driven Localized Anomaly Generation via Lightweight Style Transfer. In Sven Koenig, Chad Jenkins, Matthew E. Taylor, editors, Fortieth AAAI Conference on Artificial Intelligence, Thirty-Eighth Conference on Innovative Applications of Artificial Intelligence, Sixteenth Symposium on Educational Advances in Artificial Intelligence, AAAI 2026, Singapore, January 20-27, 2026. pages 15734-15742, AAAI Press, 2026. [doi]

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