Exploring the use of artificial intelligence painting technology to restore the portraits of ancient poets

Present mainstream artificial intelligence painting models and platforms exhibit a fundamental difficulty in comprehending the defining characteristics of classical Chinese painting: The emphasis on capturing the spirit (Xie Shen) or evocative essence over literal depiction, as well as its characteristic flattened esthetic paradigm. This paper reviews the evolutionary trajectory of artificial intelligence painting technology and delineates its fundamental principles. By applying this technology to restore ancient poet portraits into three-dimensional lifelike representations, it provides technical pathways and parameter references for poet portrait restoration. This exploration charts novel application paths for artificial intelligence technology, enabling it to contribute more effectively to Chinese cultural studies. Furthermore, utilizing Stable Diffusion to restore ancient poet portraits bridges the psychological distance between historical poets and contemporary audiences, thus advancing the dissemination of ancient Chinese poetry culture.