GetWild: A VR Editing System with AI-Generated 3D Object and Terrain

Shing Ming Wong, Chien-Wen Chen, Tse-Yu Pan, Hung-Kuo Chu, Min-Chun Hu

Abstract: 3D environment artists typically use 2D screens and 3D modeling software to achieve their creation. However, creating 3D content using 2D tools is counterintuitive. Moreover, the process would be inefficient for junior artists in the absence of a reference. We develop a system called GetWild, which employs artificial intelligence (AI) models to generate the prototype of 3D objects/terrain and allows users to further edit the generated content in the virtual space. With the aid of AI, the user can capture an image to obtain a rough 3D object model, or start with drawing simple sketches representing the river, the mountain peak and the mountain ridge to create a 3D terrain prototype. Further, the virtual reality (VR) technique is used to provide an immersive design environment and intuitive interaction (such as painting, sculpturing, coloring, and transformation) for users to edit the generated prototypes. Compared with the existing 3D modeling software and systems, the proposed VR editing system with AI-generated 3D objects/terrain provides a more efficient way for the user to create virtual artwork.