mlsanityData to 14 Oct 2026

AIGC In China: Current Developments And Future Outlook

arXiv 2308.08451 ↗First posted 14 Aug 2023cs.AI cs.CYcited by 2

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Abstract (arXiv)

The increasing attention given to AI Generated Content (AIGC) has brought a profound impact on various aspects of daily life, industrial manufacturing, and the academic sector. Recognizing the global trends and competitiveness in AIGC development, this study aims to analyze China's current status in the field. The investigation begins with an overview of the foundational technologies and current applications of AIGC. Subsequently, the study delves into the market status, policy landscape, and development trajectory of AIGC in China, utilizing keyword searches to identify relevant scholarly papers. Furthermore, the paper provides a comprehensive examination of AIGC products and their corresponding ecosystem, emphasizing the ecological construction of AIGC. Finally, this paper discusses the challenges and risks faced by the AIGC industry while presenting a forward-looking perspective on the industry's future based on competitive insights in AIGC.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 14 of its 45 references that are in the map. First posted on arXiv 14 Aug 2023.

Builds on

14 of 45 references.

References · 14

  1. 2017Attention Is All You Needcited by 60,361
  2. 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,744
  3. 2020Language Models are Few-Shot Learnerscited by 32,419
  4. 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,863
  5. 2022Training language models to follow instructions with human feedbackcited by 15,971
  6. 2017Proximal Policy Optimization Algorithmscited by 15,215
  7. 2021Finetuned Language Models Are Zero-Shot Learnerscited by 3,780
  8. 2017Multimodal Machine Learning: A Survey and Taxonomycited by 1,013
  9. 2023Aligning Text-to-Image Models using Human Feedbackcited by 422
  10. 2023A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPTcited by 224
  11. 2023A Complete Survey on Generative AI (AIGC): Is ChatGPT from GPT-4 to GPT-5 All You Need?cited by 84
  12. 2023AI-Generated Content (AIGC): A Surveycited by 59
2 more
  1. 2023High-dimensional Clustering onto Hamiltonian Cyclecited by 2
  2. 2023The current opportunities and challenges of Web 3.0cited by 2

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Cited by year

Citing papers per year: 2023: 1; 2024: 0; 2025: 1.

2 papers.

  1. 2025A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deploymentcited by 116
  2. 2023Innovative Digital Storytelling with AIGC: Exploration and Discussion of Recent Advancescited by 2