@article{ART003152746},
author={Lee Byong Kwon},
title={A Comparative Study on 3D Model Generation Performance Using Generative AI},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2024},
volume={29},
number={12},
pages={21-28}
TY - JOUR
AU - Lee Byong Kwon
TI - A Comparative Study on 3D Model Generation Performance Using Generative AI
JO - Journal of The Korea Society of Computer and Information
PY - 2024
VL - 29
IS - 12
PB - The Korean Society Of Computer And Information
SP - 21
EP - 28
SN - 1598-849X
AB - The rapid advancement of generative AI technology has led to its increasing reliance across various industries and everyday applications. However, most generative AI solutions have focused primarily on generating text or 2D images, with relatively little attention paid to 3D model generation. This study conducts a comparative analysis of the performance of three generative AI models ChatGPT, Copilot, and Gemini in generating 3D models. The methodology involved generating scripts for use in the open-source Blender graphics tool, which operates under a GPL license, using each of the three AI models. The performance of these models was then evaluated using metrics such as Accuracy, Recall, Precision, and F1 Score. The results showed that ChatGPT and Copilot outperformed Gemini, which exhibited lower performance. This discrepancy in performance is likely due to differences in the training data related to 3D model generation. This study demonstrates that the performance of generative AI models varies significantly depending on the domain of application, highlighting the need for further development and upgrades to improve their effectiveness in specific areas like 3D modeling.
KW - Generative AI;3D Model Generation;Performance Comparison;F1 Score;Training Data
DO -
UR -
ER -
Lee Byong Kwon. (2024). A Comparative Study on 3D Model Generation Performance Using Generative AI. Journal of The Korea Society of Computer and Information, 29(12), 21-28.
Lee Byong Kwon. 2024, "A Comparative Study on 3D Model Generation Performance Using Generative AI", Journal of The Korea Society of Computer and Information, vol.29, no.12 pp.21-28.
Lee Byong Kwon "A Comparative Study on 3D Model Generation Performance Using Generative AI" Journal of The Korea Society of Computer and Information 29.12 pp.21-28 (2024) : 21.
Lee Byong Kwon. A Comparative Study on 3D Model Generation Performance Using Generative AI. 2024; 29(12), 21-28.
Lee Byong Kwon. "A Comparative Study on 3D Model Generation Performance Using Generative AI" Journal of The Korea Society of Computer and Information 29, no.12 (2024) : 21-28.
Lee Byong Kwon. A Comparative Study on 3D Model Generation Performance Using Generative AI. Journal of The Korea Society of Computer and Information, 29(12), 21-28.
Lee Byong Kwon. A Comparative Study on 3D Model Generation Performance Using Generative AI. Journal of The Korea Society of Computer and Information. 2024; 29(12) 21-28.
Lee Byong Kwon. A Comparative Study on 3D Model Generation Performance Using Generative AI. 2024; 29(12), 21-28.
Lee Byong Kwon. "A Comparative Study on 3D Model Generation Performance Using Generative AI" Journal of The Korea Society of Computer and Information 29, no.12 (2024) : 21-28.
