The DOI matches its Crossref record; 89 of the 89 references it cites were found in a registry or an index.
A Survey of AI-Generated Content (AIGC)
Abstract
Recently, Artificial Intelligence Generated Content (AIGC) has gained significant attention from society, especially with the rise of Generative AI (GAI) techniques such as ChatGPT, GPT-4 [ 165 ], DALL-E-3 [ 184 ], and Sora [ 137 ]. AIGC involves using AI models to create digital content, such as images, music, and natural language, with the goal of making the content creation process more efficient and accessible. Large-scale models have become increasingly important in AIGC as they provide better intent extraction and generation results. This survey provides a comprehensive review of the history of generative models and recent advances in AIGC, focusing on both unimodal and multimodal interaction. From the perspective of unimodality, we introduce the generation tasks and relative models of text and image. From the perspective of multimodality, we introduce the cross-application between the modalities mentioned above. Finally, the survey discusses the existing open problems and future challenges in AIGC. Overall, this survey serves as a valuable resource for individuals interested in understanding the background and secrets behind the impressive performance of AIGC techniques.
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Cited by
Huang, L., Yu, W., Ma, W., Zhong, W., Feng, Z., Wang, H., Chen, Q., Peng, W., Feng, X., Qin, B., et al. (2025) · ACM Transactions on Information Systems · doi:10.1145/3703155 · Cited by 4,688
AI literacy and its implications for prompt engineering strategies
Knoth, N., Tolzin, A., Janson, A., & Leimeister, J. M. (2024) · Computers and Education: Artificial Intelligence · doi:10.1016/j.caeai.2024.100225 · Cited by 368
Deep learning based multimodal biomedical data fusion: an overview and comparative review
Duan, J., Xiong, J., Li, Y., & Ding, W. (2024) · Information Fusion · doi:10.1016/j.inffus.2024.102536 · Cited by 284
Using ChatGPT in academic writing is (not) a form of plagiarism: What does the literature say?
Jarrah, A. M., Wardat, Y., & Fidalgo, P. (2023) · Online Journal of Communication and Media Technologies · doi:10.30935/ojcmt/13572 · Cited by 220
Generative Artificial Intelligence in Education: Advancing Adaptive and Personalized Learning
Guettala, M., Bourekkache, S., Kazar, O., & Harous, S. (2024) · Acta Informatica Pragensia · doi:10.18267/j.aip.235 · Cited by 218
Metadata
- Authors
- Cao, Y., Li, S., Liu, Y., Yan, Z., Dai, Y., Yu, P., & Sun, L.
- Venue
- ACM Computing Surveys
- Published
- 2025-01-22
- Volume
- 57
- Issue
- 5
- Pages
- 1-38
- ISSN
- 0360-0300 (ISSN-L)
- 1557-7341
- OpenAlex
- W4405114800
- Cited by
- 182
- References
- 89
- FWCI
- 25.71
- Type
- journal article
- Language
- en
- Open access
- closed
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