Generative AI for Film Creation: A Survey of Recent Advances

Ruihan Zhang, Borou Yu, Jiajian Min, Yetong Xin, Zheng Wei, Juncheng Nemo Shi, Mingzhen Huang, Xianghao Kong, Nix Liu Xin, Shanshan Jiang, Praagya Bahuguna, Mark Chan, Khushi Hora, Lijian Yang, Yongqi Liang, Runhe Bian, Yunlei Liu, Isabela Campillo Valencia, Patricia Morales Tredinick, Ilia Kozlov, Sijia Jiang, Peiwen Huang, Na Chen, Xuanxuan Liu, Anyi Rao; Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops, 2025, pp. 6267-6279

Abstract


Generative AI (GenAI) is transforming filmmaking, equipping artists with tools like text-to-image and image-to-video diffusion, neural radiance fields, avatar generation, and 3D synthesis. This paper examines the adoption of these technologies in filmmaking, analyzing workflows from recent AI-driven films to understand how GenAI contributes to character creation, aesthetic styling, and narration. We explore key strategies for maintaining character consistency, achieving stylistic coherence, and ensuring motion continuity. Additionally, we highlight emerging trends such as the growing use of 3D generation and the integration of real footage with AI-generated elements. Beyond technical advancements, we examine how GenAI is enabling new artistic expressions, from generating hard-to-shoot footage to dreamlike diffusion-based morphing effects, abstract visuals, and unworldly objects. We also gather artists' feedback on challenges and desired improvements, including consistency, controllability, fine-grained editing, and motion refinement. Our study provides insights into the evolving intersection of AI and filmmaking, offering a roadmap for researchers and artists navigating this rapidly expanding field.

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[pdf] [arXiv]
[bibtex]
@InProceedings{Zhang_2025_CVPR, author = {Zhang, Ruihan and Yu, Borou and Min, Jiajian and Xin, Yetong and Wei, Zheng and Shi, Juncheng Nemo and Huang, Mingzhen and Kong, Xianghao and Xin, Nix Liu and Jiang, Shanshan and Bahuguna, Praagya and Chan, Mark and Hora, Khushi and Yang, Lijian and Liang, Yongqi and Bian, Runhe and Liu, Yunlei and Valencia, Isabela Campillo and Tredinick, Patricia Morales and Kozlov, Ilia and Jiang, Sijia and Huang, Peiwen and Chen, Na and Liu, Xuanxuan and Rao, Anyi}, title = {Generative AI for Film Creation: A Survey of Recent Advances}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {6267-6279} }