Revolutionizing 3D Model Generation Using Diffusion-based Generative AI

The emergence of generative AI, in particular, has brought a new 3D way of modeling which includes the automatic synthesis of complex models from plain text prompts. The traditional 3D modeling technique, which is labor-intensive, demands a great deal of knowledge and time. This study offers a generative AI-based system that applies diffusion models to produce 3D models of the highest quality meanwhile providing with the minimum of labor. The system uses a natural language input approach that users can create detailed and surface-coated 3D models without the need for the mastery of technical skills and know-how. IT is a multi-faced tool, it can serve different industries like gaming, architecture, and animation at the same time, due to the fact that it is easy to operate and is available everywhere. The purpose of this paper is to minimize the creative process for 3D model generation using Diffusion models.