Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions
Mohammad Mahdi Abootorabi, Omid Ghahroodi, Pardis Sadat Zahraei, Hossein Behzadasl, Alireza Mirrokni, Mobina Salimipanah, Arash Rasouli, Bahar Behzadipour, Sara Azarnoush, Benyamin Maleki, Erfan Sadraiye, Kiarash Kiani Feriz, Mahdi Teymouri Nahad, Ali Moghadasi, Abolfazl Eshagh Abianeh, Nizi Nazar, Hamid R. Rabiee, Mahdieh Soleymani Baghshah, Meisam Ahmadi, Ehsaneddin Asgari
2025-05-01
Summary
This paper talks about how generative AI is being used to create and improve character animation, including everything from facial expressions and gestures to making realistic avatars and objects.
What's the problem?
Creating lifelike animations for characters is really hard and usually takes a lot of time and skill, which limits how quickly and easily new animations can be made for movies, games, or virtual worlds.
What's the solution?
The researchers reviewed all the latest ways that AI can help automate and enhance different parts of character animation, such as making faces move naturally, generating new gestures, and creating detailed textures, making the whole process faster and more creative.
Why it matters?
This matters because it means artists and developers can make more realistic and expressive characters with less effort, leading to better movies, games, and online experiences for everyone.
Abstract
This survey provides a comprehensive overview of generative AI applications in character animation, covering facial animation, expression rendering, image synthesis, avatar creation, gesture modeling, motion synthesis, object generation, and texture synthesis.