Research on the Reconstruction of Ming Dynasty History Based on AIGC
X. G. HE, Xing Sun · 2023
The purpose of this paper is to explore a new perspective for experiencing historical culture through AI technology. The specific content is divided into three parts: The first part introduces that we use Ming Dynasty ancient paintings as the original input images, use the Stable Diffusion model to transform the images, and then use the 3D Morphable Face Model (3DMM) based methods to output a single character image into a 3D face model. After integrating from 3D software and game engine, we obtain a complete and controllable 3D character, As a participant and experiential carrier in the reconstruction of Ming Dynasty history. The second part introduces the use of images and text as inputs, through the Stable Diffusion model to generate scene backgrounds and related items related to Ming Dynasty history. The final section introduces the historical and cultural rules as a framework presented in a game mechanism, allowing the experience to perceive the immersion of historical and cultural, rather than simply conveying historical knowledge or appreciating historical artifacts. By employing AIGC, this research reconstructs 3D characters and scenes from the ancient Ming Dynasty in China, creating a historical immersive experience co-authored by humans and AI in the form of a game. Specifically, AIGC creates assets to restore 3D characters and scenes from the ancient Ming Dynasty in China. The creators use game gameplay to restore historical rules, and players participate in interactive experiences. This approach facilitates an objective assessment of history by allowing participants to deeply engage with historical narratives, prompting critical thinking and influencing the future. Empirical studies find that this method enables participants to actively immerse themselves in historical stories, triggering thoughtful reflections on history.