Zobrazeno 1 - 10
of 4 114
pro vyhledávání: '"WILLIAMSON, JOHN"'
We propose an unsupervised image segmentation method using features from pre-trained text-to-image diffusion models. Inspired by classic spectral clustering approaches, we construct adjacency matrices from self-attention layers between image patches
Externí odkaz:
http://arxiv.org/abs/2412.04678
Accurately detecting and classifying damage in analogue media such as paintings, photographs, textiles, mosaics, and frescoes is essential for cultural heritage preservation. While machine learning models excel in correcting degradation if the damage
Externí odkaz:
http://arxiv.org/abs/2412.04580
Publikováno v:
European Conference on Computer Vision (ECCV) Workshop on VISART, 2024
Accurately detecting and classifying damage in analogue media such as paintings, photographs, textiles, mosaics, and frescoes is essential for cultural heritage preservation. While machine learning models excel in correcting global degradation if the
Externí odkaz:
http://arxiv.org/abs/2408.12953
Simulating analogue film damage to analyse and improve artefact restoration on high-resolution scans
Digital scans of analogue photographic film typically contain artefacts such as dust and scratches. Automated removal of these is an important part of preservation and dissemination of photographs of historical and cultural importance. While state-of
Externí odkaz:
http://arxiv.org/abs/2302.10004
Publikováno v:
Universidad Peruana de Ciencias Aplicadas (UPC)Repositorio Académico - UPC.
Universidad Peruana de Ciencias Aplicadas (UPC. The Institute for International Economics. Kuczynski, Pedro Pablo y Williamson, John. Después del Consenso de Whashington: Relanzando el crecimiento y las reformas en América Latina. Lima, Universidad
Externí odkaz:
http://hdl.handle.net/10757/577086
Modified digital games manage to drive motivation in repetitive exercises needed for motor rehabilitation, however designing modifications that satisfy both rehabilitation and engagement goals is challenging. We present a method wherein a statistical
Externí odkaz:
http://arxiv.org/abs/2209.14788