Image Generation of Egyptian Hieroglyphs
Authors: 
Song Gao, Bo Hui, 
Wanwan LiAuthors Info & Claims
Pages 389 - 397
Abstract
This comprehensive study explores the enduring fascination with and scholarly examination of Egyptian hieroglyphs. The investigation focuses on the writing structure of Egyptian hieroglyphs, employing image and pixel representations with the aim of achieving accurate reconstruction. The study utilizes a stable diffusion model and DeepSVG. We investigate challenges in providing precise reconstructions and evaluate the strengths and weakness of these methods. Thorough A significant contribution of the study is the presentation of a dataset comprising both pixel-based and vector-based images of Egyptian hieroglyphs. The findings contribute to ongoing discussions in linguistics, archaeology, and the interdisciplinary intersection of AI with historical studies.
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Index Terms
- Image Generation of Egyptian Hieroglyphs
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Published In
February 2024
757 pages
ISBN:9798400709234
DOI:10.1145/3651671
Copyright © 2024 ACM.
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Publication History
Published: 07 June 2024
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ICMLC 2024
ICMLC 2024: 2024 16th International Conference on Machine Learning and Computing
February 2 - 5, 2024
Shenzhen, China
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