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 harnessesartificial intelligence (AI) to convert 2D images or videos into 3D animation frames [2]. The background tothisproblem lies in the arduous and time-consuming nature of 3D animation, which often deters developers and artistsfrom pursuing their creative visions [1]. Our proposed solution leverages AI algorithms to predict 3Dposes andmovements from 2D sources, making animation more accessible and cost-ef ective. Our package utilizes vector mathematics and Unity's capabilities, primarily focusing on establishing the body as ananchor for limb rotations. Challenges included intricate angle calculations and addressing orientationdiscrepancies. We resolved these challenges by refining the AI algorithms and providing user-friendly features [4]. Experimentation involved assessing accuracy, usability, and ef iciency. While accuracy in complex scenariosremains a challenge, user feedback highlighted its potential for ef iciency and time-saving. Ultimately, this tool bridges the gap between 2D and 3D animation, of ering accessibility, cost-ef ectiveness, andstreamlined workflows [3]. Its potential impact on animation and game development makes it a valuable additionfor both professionals and enthusiasts

Machine Learning, Neural Network , AI, 3D