Image Generation of Egyptian Hieroglyphs

Song Gao, Bo Hui, Wanwan Li

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.