İki boyutlu animasyon üretiminde üretken yapay zekâ canlandırma tekniklerinin karşılaştırılması

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Thesis Type: Postgraduate

Institution Of The Thesis: Yıldız Technical University, Graduate School of Social Sciences, SANAT ANABİLİM DALI, Turkey

Approval Date: 2025

Thesis Language: Turkish

Student: BÜŞRA EKMEN

Supervisor: Ertan Toy

Open Archive Collection: AVESIS Open Access Collection

Abstract:

The combination of art and technology opens up new horizons on how to use it in the animation production field based on generative artificial intelligence (GAI). In particular, traditional loop time and labor supported animation production is accelerated with GAI supported intervals and offers new creative possibilities. In this context, there is important research on how GAI industrial production is transformed and how to develop an innovation in the field of animation. For this purpose, it is discussed what role GAI plays in two-dimensional animation production and how this role shapes the animation process. Within the scope of the research, how the production phase of animations can be animated with traditional techniques used in animation art and GAI-based tools. Different technical methods offered by Runway, Kling AI and Hailuo AI GAI-based platforms are analyzed and elements such as movement fluidity, ease of use, continuity and visual quality in transfer movements with GAI are evaluated. This research examines the contribution of GAI to the range of motion, its role in production speed and visual quality, and how GAI can lead the global motion industry to animation processes, its effect on production speed and its role on visual quality. Keywords: Visual Communication Design, Animation, Generative Artificial Intelligence, Animation Techniques, Motion Graphics