Deep Generative Inpainting for Historical Artifact Restoration

Baggam Swathi, D. B. Jagannadha Rao

Deep Generative Inpainting for Historical Artifact Restoration

Authors

Baggam Swathi, D. B. Jagannadha Rao

Keywords:

Deep generative inpainting, historical artifact restoration, image reconstruction, cultural heritage preservation, deep learning

Abstract

Over time and due to environmental conditions,historical artifacts frequently undergo deterioration, exhibit cracks,lose considerable portions, and possess damaged surfaces. Themanual process of restoring such kinds of artifacts is very time consuming, costly, and may

References

M. Nallappan, S. Venkataraman, and P. Kumar, “Exploring deep learningbased content-based video retrieval framework for surveillance anomaly detection,” Expert Systems with Applications, vol. 242, p. 122873, 2024. [Online]. Available:

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Published

2024-06-20

How to Cite

Baggam Swathi, D. B. Jagannadha Rao. (2024). Deep Generative Inpainting for Historical Artifact Restoration . Journal of Computational Analysis and Applications (JoCAAA), 33(06), 3772–3778. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/4496