Converting texts into 3d models using AI
International Research Journal of Modernization in Engineering Technology and Science · 2023
This research article explores the intersection of artificial intelligence (AI) and three-dimensional (3D) modeling, specifically the use of AI to convert textual information into 3D models.The article begins by discussing the background and context of AI and 3D modeling, and identifies the problem of manual 3D modeling being time-consuming and inefficient.The purpose and objectives of the study are then outlined, along with the research questions to be addressed.A literature survey is conducted, reviewing 10 research articles on the topic of AI and 3D modeling.The survey highlights the various AI techniques used in 3D modeling and animation, such as machine learning, computer vision, and natural language processing.The survey also discusses the applications of AI in 3D modeling, including scene understanding and localization, cultural heritage modeling, and medical imaging.The research methodology is then presented, including the research design, data collection methods, text processing and analysis techniques, 3D model generation methods, and evaluation criteria.The results and discussions section summarizes the findings of the study, highlighting the effectiveness of using AI to convert text into 3D models.The limitations and challenges of the study are also discussed, including issues related to accuracy, scalability, and computational resources.Finally, the future enhancement section presents potential improvements to the research, such as incorporating more advanced AI techniques, improving the accuracy of 3D models, and addressing the limitations of the study.In conclusion, this article demonstrates the potential of AI to revolutionize the field of 3D modeling by providing a more efficient and automated process.