International Journal of Internet, Broadcasting and Communication

The Institute of Internet, Broadcasting and Communication (한국인터넷방송통신학회)
권호 표지
DOI QR코드

DOI QR Code

Research on Character's Consistency in AI-Generated Paintings

  • Chenghao Wang (Dept. of Multimedia, Graduate School of Digital Image and Contents Dongguk University) ;
  • Jeanhun Chung (Dept. of Multimedia, Graduate School of Digital Image and Contents Dongguk University)
  • Received : 2024.06.10
  • Accepted : 2024.06.22
  • Published : 2024.08.31
Download PDF
⟨ Previous Next ⟩

Abstract

This study aims to explore the issue of character consistency in AI-generated artwork. First, the concept of character consistency is explained, including the consistency of appearance, actions, and lighting, and its importance in continuous creation and storytelling is analyzed. Next, the study examines current mainstream AI drawing tools such as MidJourney and Stable Diffusion-based WebUI and ComfyUI, evaluating their strengths and limitations in maintaining character consistency. Finally, methods to improve AI drawing technology were proposed to enhance character consistency, aiming to achieve a higher level of consistency in AI art creation.

Keywords

References

  1. Chenghao Wang, Jeanhun Chung "Research on AI Painting Generation Technology Based on the [Stable Diffusion]" The International Journal of Advanced Smart Convergence 12.2 pp.90-95 (2023) : 90. DOI: https://doi.org/10.7236/IJASC.2023.12.2.90
  2. Eldesokey, Abdelrahman, and Peter Wonka. "LATENTMAN: Generating Consistent Animated Characters using Image Diffusion Models." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2024. DOI: https://doi.org/10.48550/arXiv.2312.07133
  3. Chenghao Wang, Jeanhun Chung "A Study on AI Softwear [Stable Diffusion] ControlNet plug-in Usabilities" The International Journal of Internet, Broadcasting and Communication 15.4 pp.166-171 (2023) : 166. DOI: https://doi.org/10.7236/IJIBC.2023.15.4.166
  4. Hu, Li. "Animate anyone: Consistent and controllable image-to-video synthesis for character animation." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2024. DOI: https://doi.org/10.48550/arXiv.2311.17117
  5. Chenghao Wang, Jeanhun Chung "A Study of Artificial Intelligence Generated 3D Engine Animation Workflow" The International Journal of Advanced Smart Convergence 12.4 pp.286-292 (2023) : 286. DOI:https://doi.org/10.7236/IJASC.2023.12.4.286
  6. Ke Ma, Jeanhun Chung "A Research on AI Generated 2D Image to 3D Modeling Technology" The International Journal of Internet, Broadcasting and Communication 16.2 pp.81-86 (2024) : 81. DOI:https://doi.org/10.7236/IJIBC.2024.16.2.81
  7. Huang, Siyu, et al. "Generating person images with appearance-aware pose stylizer." arXiv preprint arXiv:2007.09077 (2020). DOI:https://doi.org/10.48550/arXiv.2007.09077
  8. Chen Xi, Jeanhun Chung "A Case Study on AI-Driven Motion Capture Technology" The International Journal of Internet, Broadcasting and Communication 16.2 pp.87-92 (2024) : 87. DOI:https://doi.org/10.7236/IJIBC.2024.16.2.87