Open Access
Issue
ITM Web Conf.
Volume 78, 2025
International Conference on Computer Science and Electronic Information Technology (CSEIT 2025)
Article Number 04006
Number of page(s) 12
Section Foundations and Frontiers in Multimodal AI, Large Models, and Generative Technologies
DOI https://doi.org/10.1051/itmconf/20257804006
Published online 08 September 2025
  1. Yan, Y., Lv, K., Xue, J. et al., “A facial animation method based on deep learning and expression AU parameters,” J. Comput.-Aided Des. Comput. Graph., vol. 31, no. 11, pp. 1973–1980, 2019. [Google Scholar]
  2. Lv, Z., Xia, F., Liu, F. et al., “A voice-driven 3D facial animation generation method with priors,” Comput. Sci. Appl., vol. 13, p. 2072, 2023. [Google Scholar]
  3. Zhuang, M., Tan, X. and Fan, Y., “A 3D animation expression generation and emotion supervision method based on convolutional neural networks,” J. Chongqing Univ. Technol. (Nat. Sci.), vol. 36, no. 1, pp. 151–158, 2022. [Google Scholar]
  4. Zhang, R. and Pan, Y., “Deep learning technology for character expression animation generation,” J. Comput.-Aided Des. Comput. Graph., vol. 34, no. 5, pp. 675–682, 2022. [Google Scholar]
  5. Fan, Y., “A character expression animation deblocking generation method based on PCNN,” J. Changzhou Inst. Technol., vol. 37, no. 1, pp. 27–33, 2024. [Google Scholar]
  6. Luo, P., Long, W., Chen, Y. et al., “Portrait relief modeling and animation generation based on convolutional neural networks,” J. Comput.-Aided Des. Comput. Graph., vol. 34, no. 9, 2022. [Google Scholar]
  7. Lin, Z. and Huang, H., “Generating 3D human animations from a single image,” J. Comput.-Aided Des. Comput. Graph., vol. 34, no. 9, 2022. [Google Scholar]
  8. Yi, R., “A real-time pose recognition algorithm for generating 2D human animations based on deep learning,” J. Taiyuan Univ. (Nat. Sci. Ed.), vol. 40, no. 1, pp. 69–74, 2022. [Google Scholar]
  9. Wang, Y., Chen. X and Chen. B, “SinGRAV: A 3D scene generation model based on a single natural scene sample,” J. Comput. Sci. Technol., vol. 39, no. 2, pp. 305–319, 2024. [Google Scholar]
  10. Zhou, Y., “An animation scene image auto-generation method based on improved deep learning,” J. Taiyuan Univ. (Nat. Sci. Ed.), vol. 43, no. 2, pp. 78–84, 2025 [Google Scholar]

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