Revitalizing Art with Technology: A Deep Learning Approach to Virtual Restoration
This study evaluates CycleGAN's performance in virtual painting restoration, focusing on color restoration and detail reproduction. We compiled datasets categorized by art styles and conditions to achieve accurate restorations without altering original reference materials. Various paintings we...
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Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Universitas Islam Negeri Sunan Kalijaga Yogyakarta
2025-01-01
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Series: | JISKA (Jurnal Informatika Sunan Kalijaga) |
Subjects: | |
Online Access: | https://ejournal.uin-suka.ac.id/saintek/JISKA/article/view/4832 |
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