AI-Driven Simplification of 3D Animation: Bridgingthe Gap between 2D and 3D with a Unity Package for predictive Pose Generation and Streamlined workflows


Jiaxu Li1 and John Morris2, 1USA, 2California State Polytechnic University, USA


This paper addresses the challenge of simplifying 3D animation by introducing a Unity package that harnesses artificial intelligence (AI) to convert 2D images or videos into 3D animation frames [2]. The background to this problem lies in the arduous and time-consuming nature of 3D animation, which often deters developers and artists from pursuing their creative visions [1]. Our proposed solution leverages AI algorithms to predict 3Dposes and movements from 2D sources, making animation more accessible and cost-efective. Our package utilizes vector mathematics and Unity's capabilities, primarily focusing on establishing the body as an anchor for limb rotations. Challenges included intricate angle calculations and addressing orientation discrepancies. We resolved these challenges by refining the AI algorithms and providing user-friendly features [4]. Experimentation involved assessing accuracy, usability, and eficiency. While accuracy in complex scenario sremains a challenge, user feedback highlighted its potential for eficiency and time-saving. Ultimately, this tool bridges the gap between 2D and 3D animation, ofering accessibility, cost-efectiveness, and streamlined workflows [3]. Its potential impact on animation and game development makes it a valuable addition for both professionals and enthusiasts


Machine Learning, Neural Network , AI, 3D

Full Text  Volume 14, Number 4