3 papers
cs.CV2024
ARTeFACT: Benchmarking Segmentation Models on Diverse Analogue Media Damage
Daniela Ivanova, Marco Aversa, Paul Henderson +1
Accurately detecting and classifying damage in analogue media such as paintings, photographs, textiles, mosaics, and frescoes is essential for cultural heritage preservation. While…
cs.CV2024
Unsupervised Segmentation by Diffusing, Walking and Cutting
Daniela Ivanova, Marco Aversa, Paul Henderson +1
We propose an unsupervised image segmentation method using features from pre-trained text-to-image diffusion models. Inspired by classic spectral clustering approaches, we construc…
cs.CV2024
State-of-the-Art Fails in the Art of Damage Detection
Daniela Ivanova, Marco Aversa, Paul Henderson +1
Accurately detecting and classifying damage in analogue media such as paintings, photographs, textiles, mosaics, and frescoes is essential for cultural heritage preservation. While…