Cultural heritage and fine arts are invaluable in shaping societies’ cultural, historical, and economic landscapes. With recent advancements in computer vision, deep learning, and generative AI, new opportunities are emerging to revolutionize how we analyze, preserve, and interact with art and cultural artifacts. The digitization of artistic and historical assets—from paintings and sculptures to manuscripts and architectural structures—has created rich datasets for developing AI-driven methodologies. However, these advances also bring new challenges, such as interpretability, authenticity verification, bias mitigation, and historical fidelity.
The 4th International Workshop on Fine Art Pattern Extraction and Recognition (FAPER 2025) aims to provide an interdisciplinary forum for researchers, practitioners, and industry professionals working at the intersection of computer vision, artificial intelligence, and cultural heritage. The workshop seeks to bridge the gap between computational methods and the humanities, fostering collaboration between AI researchers, art historians, and museum professionals.
We invite submissions on innovative research, ongoing projects, and industrial applications related to AI and computer vision in fine arts and cultural heritage. The goal is to advance state-of-the-art methodologies while ensuring that AI solutions align with the analytical depth expected in the humanities and cultural preservation sectors.