1 citations · 1 across the 3 of their papers we have counts for
4 papers
PyPottery: an AI-powered end-to-end suite for pottery processing and publication
Lorenzo Cardarelli
The study of ceramic materials constitutes a cornerstone of archaeological research, yet the post-production workflow for pottery documentation remains labor-intensive and creates…
(Whose defaults?) Is artificial intelligence reorienting archaeological methods?
Lorenzo Cardarelli, Roberto Ragno
Generative AI and the practice of "vibe coding" are changing how archaeologists carry out computational research, but their effects on the discipline's range of methods is still un…
PyPotteryInk: One-Step Diffusion Model for Sketch to Publication-ready Archaeological Drawings
Lorenzo Cardarelli
Archaeological pottery documentation traditionally requires a time-consuming manual process of converting pencil sketches into publication-ready inked drawings. I present PyPottery…
PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation
Lorenzo Cardarelli
Archaeological pottery documentation and study represents a crucial but time-consuming aspect of archaeology. While recent years have seen advances in digital documentation methods…