A Critical Assessment of Modern Generative Models’ Ability to Replicate Artistic Styles
Andrea Asperti; Franky George; Tiberio Marras; Razvan Ciprian Stricescu; Fabio Zanotti · 2025 · Big Data and Cognitive Computing
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract (excerpt)
In recent years, advancements in generative artificial intelligence have led to the development of sophisticated tools capable of mimicking diverse artistic styles, opening new possibilities for digital creativity and artistic expression.…
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WASTE indexes this work — it does not host or republish it. Failure-type classification is automated and approximate.
Metadata source: Crossref · DOI 10.3390/bdcc9090231