International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

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A Case Study on Integrating AI in Making an Animation Movie

Author(s) Kunal Hossain, Jyotirmay Deb
Country India
Abstract This paper explores the groundbreaking use of artificial intelligence (AI) in Disney’s Frozen II, which significantly transformed the animation process across multiple domains. AI-driven tools, such as Disney’s in-house simulation system “Swoop,” were employed to create realistic natural elements, including snow, water, and ice, enhancing environmental immersion through precise simulations of their real-world physics. AI also played a pivotal role in the real-time rendering process, with the introduction of "Hyperion," a machine-learning-based lighting system that accelerated production by enabling immediate feedback and creative experimentation. Furthermore, AI facilitated enhanced character animation, refining facial expressions, lip-syncing, and dynamic movements like hair and clothing, contributing to a more lifelike portrayal of the characters. The implementation of AI-driven crowd simulation also added depth to the film’s complex scenes. By streamlining production and allowing for greater creative flexibility, Frozen II has set a new benchmark in the animation industry, demonstrating the potential of AI to not only improve efficiency but also to push the boundaries of visual storytelling. The success of these AI tools in Frozen II has inspired other studios to adopt similar technologies, signaling a shift towards more innovative and efficient animation practices.
Keywords AI in Animation, Generative AI, Automated Animation, Character Design, Storyboarding, Motion Capture, Rendering, Visual Effects, Voice Synthesis, Lip Syncing, Creative Technologies
Published In Volume 7, Issue 2, March-April 2025
Published On 2025-03-06
DOI https://doi.org/10.36948/ijfmr.2025.v07i02.38374
Short DOI https://doi.org/g87cw9
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