arXiv AI By Lara Vartziotis, Tina Vartziotis, Valentin Keckeisen, Frank Beutenmueller, Martin Obstbaum, Sotirios Kotsopoulos, Kostas Moraitis

Revitalizing Public Urban Places through Cultural and Political Memory: A Technological Approach with LLMs and Augmented Reality

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arXiv:2607. 22613v1 Announce Type: cross Abstract: This paper explores the intersection of memory, place, and identity, examining how new technologies, particularly Apple Vision Pro, can illuminate this nexus.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

arXiv Computer Vision
Sep 15

Integrating Multi-view Multi-light Surface Reconstruction into Cultural Heritage Workflows

arXiv:2609.15833v1 Announce Type: new Abstract: Cultural heritage documentation increasingly relies on image-based 3D surface reconstruction, with photogrammetry software making such workflows access...

By Baptiste Brument, Robin Bruneau, Benjamin Coupry, Vincent Demoulin, Jean M\'elou, Antoine Laurent, Fabien Castan, Jean-Denis Durou, Lilian Calvet
arXiv AI
Sep 16

Multimodal Cultural Heritage Architectural Style Classification for Residential Buildings in the UAE Based on CLIP Embeddings and SVM

The paper presents a multimodal machine learning framework that classifies Emirati residential architectural styles by combining visual features from images and textual descriptions using OpenAI's CLIP model. The unified 512‑dimensional embeddings are reduced with UMAP, clustered with K‑Means, and then used to train an SVM classifier, achieving a 98% accuracy across eight style clusters. This approach outperforms previous studies and demonstrates the value of integrating visual and textual data for cultural heritage analysis.

By Ahmed Ammar Kubba, Manar Abu Talib, Iman Ibrahim, Qassim Nasir