15 citations · 18 across the 2 of their papers we have counts for
2 papers
cs.CV2024★ 3 cited
Are CLIP features all you need for Universal Synthetic Image Origin Attribution?
Dario Cioni, Christos Tzelepis, Lorenzo Seidenari +1
The steady improvement of Diffusion Models for visual synthesis has given rise to many new and interesting use cases of synthetic images but also has raised concerns about their po…
cs.CV2023★ 15 cited
Diffusion Based Augmentation for Captioning and Retrieval in Cultural Heritage
Dario Cioni, Lorenzo Berlincioni, Federico Becattini +1
Cultural heritage applications and advanced machine learning models are creating a fruitful synergy to provide effective and accessible ways of interacting with artworks. Smart aud…