paper-with-me

홈 › Papers

Towards complete digital twins in cultural heritage with ART3mis 3D artifacts annotator

2026-02-13 · Dimitrios Karamatskos, Vasileios Arampatzakis, Vasileios Sevetlidis, Stavros Nousias, Athanasios Kalogeras, Christos Koulamas, Aris Lalos, George Pavlidis arxiv

Archaeologists, as well as specialists and practitioners in cultural heritage, require applications with additional functions, such as the annotation and attachment of metadata to specific regions of the 3D digital artifacts, to go beyond the simplistic three-dimensional (3D) visualization. Different strategies addressed this issue, most of which are excellent in their particular area of application, but their capacity is limited to their design's purpose; they lack generalization and interoperability. This paper introduces ART3mis, a general-purpose, user-friendly, feature-rich, interactive web-based textual annotation tool for 3D objects. Moreover, it enables the communication, distribution, and reuse of information as it complies with the W3C Web Annotation Data Model. It is primarily designed to help cultural heritage conservators, restorers, and curators who lack technical expertise in 3D imaging and graphics, handle, segment, and annotate 3D digital replicas of artifacts with ease.

📄 PDF Abstract BibTeX arXiv:2602.12761

Code (0)

등록된 구현이 없습니다.

Similar Papers 제목 키워드 기반

The Heritage Digital Twin: a bicycle made for two. The integration of digital methodologies into cultural heritage research

2023-02-03 · Franco Niccolucci, Béatrice Markhoff, Maria Theodoridou, Achille Felicetti 외

The paper concerns the definition of a novel ontology for cultural heritage based on the concept of digital twin. The ontology, called Heritage Digital Twin ontology, is a compatible extension of the well-known CIDOC CRM…

The "Collections as ML Data" Checklist for Machine Learning & Cultural Heritage

2022-07-06 · Benjamin Charles Germain Lee

Within the cultural heritage sector, there has been a growing and concerted effort to consider a critical sociotechnical lens when applying machine learning techniques to digital collections. Though the cultural heritage…

BIG-bench Machine Learning

On the Cultural Anachronism and Temporal Reasoning in Vision Language Models

2026-05-14 · Mukul Ranjan, Prince Jha, Khushboo Kumari, Zhiqiang Shen arxiv

Vision-Language Models (VLMs) are increasingly applied to cultural heritage materials, from digital archives to educational platforms. This work identifies a fundamental issue in how these models interpret historical art…

VaseVQA-3D: Benchmarking 3D VLMs on Ancient Greek Pottery

2025-10-06 · Nonghai Zhang, Zeyu Zhang, Jiazi Wang, Yang Zhao 외 arxiv

Vision-Language Models (VLMs) have achieved significant progress in multimodal understanding tasks, demonstrating strong capabilities particularly in general tasks such as image captioning and visual reasoning. However, …

Visual Question AnsweringVisual ReasoningImage Captioning

Engineering Mythology: A Digital-Physical Framework for Culturally-Inspired Public Art

2026-03-29 · Jnaneshwar Das, Christopher Filkins, Rajesh Moharana, Ekadashi Barik 외 arxiv

Navagunjara Reborn: The Phoenix of Odisha was built for Burning Man 2025 as both a sculpture and an experiment-a fusion of myth, craft, and computation. This paper describes the digital-physical workflow developed for th…