Generative AI for Computer Graphics

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Rajesh Sharma, Vinicius C. Azevedo, Tomasz Bednarz, Doug Roble

Published: 2025, Last Modified: 07 Nov 2025IEEE Computer Graphics and Applications 2025EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Generative AI has emerged as a transformative force in the realm of computer graphics, offering innovative methods that push the boundaries of creativity, efficiency, and realism. In this special issue, we delve into the myriad ways in which generative AI is reshaping the field, with six articles that explore its applications across a wide range of topics. These contributions cover advancements in neural networks for image generation, AI-assisted design tools, deep learning techniques for realistic simulations, and the future of AI-driven animation. By examining both the theoretical and practical implications of these developments, this issue provides a comprehensive overview of how generative AI is enhancing the art and science of computer graphics. As the field continues to evolve, the articles in this issue offer a glimpse into the exciting possibilities that lie ahead, illuminating the potential of AI to redefine creative workflows and technical innovations in graphics.