DIGITAL HERITAGE RECONSTRUCTION TECHNIQUES FOR REVIVING LOST OR DAMAGED VISUAL ART TRADITIONS
DOI:
https://doi.org/10.29121/shodhkosh.v7.i4s.2026.7492Keywords:
Digital Heritage Reconstruction, Cultural Preservation, Visual Art Restoration, Artificial Intelligence, GANs, Diffusion Models, 3D Modeling, Photogrammetry, Augmented Reality, Virtual RealityAbstract [English]
The further reduction of the environment, natural disasters, and human strife have complicated the preservation of the cultural heritage, particularly visual art traditions, even more. Even though effective, there are times when the traditional methods of restoration are not sufficient even in the restoration of highly damaged or lost works. The reconstruction methods of digital heritage have in their turn responded in the form of new solutions that consider the computer technologies and cultural and historical experience. The paper is a discussion of the different methods of digital reconstruction which are image based, three-dimensional (3D) reconstruction, artificial intelligence based in terms of Generative Adversarial Networks (GANs) and diffusion model-based methods, and also architectures that combine both of these techniques. The research will be based on the mixed-method approach because the qualitative analysis of the cultural and historical context and the quantitative analysis of the methods of calculation will be incorporated into the research. The examples of good and effective application of these means are evidenced by the case studies of ruined paintings, lost murals, and cultural objects. These findings show that single methods have received some benefits but hybrid ones is always accurate, realistic and culturally real. Additionally, the access and engagement of users can be extended through introducing immersive technologies, including augmented reality (AR) and virtual reality (VR), and push the heritage preservation limits. Regardless of these developments, the issues, which are associated with the availability of data, the difficulty of calculations, and moral issues are contemporary. According to the research it is established that the necessity to implement the use of the standardized assessment instruments and interdisciplinary cooperation exists, as there is the necessity to provide that the findings of the reconstruction process should be alike and culturally competent.
References
Abukarki, H. J. (2025). Beyond Preservation: A Survey of the Role of Virtual Reality in Experiencing and Understanding Historical Architectural Spaces. Buildings, 15, 1531. https://doi.org/10.3390/buildings15091531
Belal, A., and Shcherbina, E. (2019). Heritage in Post-War Period: Challenges and Solutions. IFAC-PapersOnLine, 52, 252–257. https://doi.org/10.1016/j.ifacol.2019.12.491
Chavan, D. P. (2025, December). FJSO-Based Optimized Multipath Routing in Mobile Ad-Hoc Networks. International Journal of Advanced Computer Engineering and Communication Technology (IJACECT), 14(2), 48–52. https://doi.org/10.65521/ijacect.v14i2.1277
Chen, Y., Chen, R., Lei, J., Zhang, Y., and Jia, K. (2022). TANGO: Text-Driven Photorealistic and Robust 3D Stylization Via Lighting Decomposition. Advances in Neural Information Processing Systems, 35, 30923–30936. https://doi.org/10.52202/068431-2242
Haux, D. H., Dominicé, A. M., and Raspotnig, J. A. (2021). A Cultural Memory of the Digital Age? International Journal for the Semiotics of Law, 34, 769–782. https://doi.org/10.1007/s11196-020-09778-7
Hutson, J., Weber, J., and Russo, A. (2022). Best Practices in Digital Twins for Cultural Heritage Preservation. Journal of Cultural Heritage Management and Sustainable Development, 12, 47–62.
Kerdreux, T., Thiry, L., and Kerdreux, E. (2020, September). Interactive Neural Style Transfer with Artists. In Proceedings of the 11th International Conference on Computational Creativity (ICCC) (123–130). Lisbon, Portugal.
Matey, M. S., Sakhale, C. N., Mehta, G. D., and Shelare, S. D. (2025, May). Enhancing Heat Transfer with Electro-Hydro-Dynamic Techniques: Challenges, Limitations, and Future Directions. International Journal of Theoretical and Applied Research in Mechanical Engineering (IJTARME), 14(1), 51–66. https://doi.org/10.65521/ijtarme.v14i1.521
Mediastika, C. E., Sudarsono, A. S., Utami, S. S., Setiawan, T., Mansell, J. G., Santosa, R. B., Wiratama, A., Yanti, R. J., and Cliffe, L. (2024). The Sound Heritage of Kotagede: The Evolving Soundscape of a Living Museum. Built Heritage, 8, 38. https://doi.org/10.1186/s43238-024-00145-0
Naser, S. R. (2024). Revealing the Collective Memory in the Digital Reconstruction of the Lost Cultural Heritage—Example of Al-Nuri Mosque in Mosul. Blue Shield Türkiye.
Nazarenko, V., and Martyn, A. (2024). Geospatial Technologies in Post-War Reconstruction: Challenges and Innovations in Ukraine. Zemleustrìj Kadastr ì Monìtorìng Zemel’, 2024, 7. https://doi.org/10.31548/zemleustriy2024.03.07
Pereira, E., Raulin, A., Menezes, R., Pereira, E., de Souza Pinto, D., Pinheiro, T. M., Loir-Mongazon, E., Girard, G., Goacolou, E., and Fonseca, V. L. (2023). Mourning, Reconstruction, and the Future After Heritage Catastrophes: A Comparative Social Science Perspective Agenda. Journal of Cultural Heritage, 65, 199–205. https://doi.org/10.1016/j.culher.2023.09.010
Pietroni, E., and Ferdani, D. (2021). Virtual Restoration and Virtual Reconstruction in Cultural Heritage: Terminology, Methodologies, Visual Representation Techniques and Cognitive Models. Information, 12, 167. https://doi.org/10.3390/info12040167
Salman, R. (2023). Emotional Aspects of Cultural Heritage Destruction During War Conflicts (Master’s Thesis). Charles University, Prague, Czech Republic.
Thakre, P., Jangid, R., Batho, R., Bhadke, D., Meshram, T., and Tonpe, K. (2025, May). A Review Fabrication of Self-Inflating Tires and Pressure Monitoring Systems. International Journal of Theoretical and Applied Research in Mechanical Engineering (IJTARME), 14(1), 1–4. https://doi.org/10.65521/ijtarme.v14i1.512
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Mahesh Kurulekar , Yan Zhao, Dr. Badri Narayan Sahu , Aravindan Munusamy Kalidhas , Komal Parashar, Rajashri C. K., Sivasankari V.
This work is licensed under a Creative Commons Attribution 4.0 International License.
With the licence CC-BY, authors retain the copyright, allowing anyone to download, reuse, re-print, modify, distribute, and/or copy their contribution. The work must be properly attributed to its author.
It is not necessary to ask for further permission from the author or journal board.
This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge.
