Open Access
| Issue |
ITM Web Conf.
Volume 84, 2026
2026 International Conference on Advent Trends in Computational Intelligence and Data Science (ATCIDS 2026)
|
|
|---|---|---|
| Article Number | 04007 | |
| Number of page(s) | 6 | |
| Section | Computer Vision, Robotic Systems, and Intelligent Control | |
| DOI | https://doi.org/10.1051/itmconf/20268404007 | |
| Published online | 06 April 2026 | |
- Y. P. Zhang, B. L. Hu, Y. Y. Huang, et al. Adaptive Style Modulation for Artistic Style Transfer. Neural Processing Letters, 55(5): 6213–6230. (2022) DOI:10.1007/S11063-022-11135-7. [Google Scholar]
- T. Yang, C. L. Yu. Image Art Style Transfer Based on Residual Adversarial Neural Network. Journal of Harbin Business University (Natural Science Edition), 41 (01): 31–37. (2025) DOI: 10.19492/j.cnki.1672-0946.2025.01.006 [Google Scholar]
- X. He, Z. Hou. Research on the Application of Ink Animation Based on Artificial Neural Network Style Transfer. Northwest Fine Arts, (03): 90 (2022) DOI: 10.13772/j.cnki.61-1042/j.2022.03.028. [Google Scholar]
- C. Huang. Research on Anime Face Generation Method Based on CycleGAN. Nanchang University, (2024) DOI: 10.27232/d.cnki.gnchu.2024.001279 [Google Scholar]
- L. Cao. Research on the Improvement of Image Style Transfer Algorithm Based on CycleGAN. Xi’an University of Technology, (2025) DOI: 10.27391/d.cnki.gxagu.2025.000440 [Google Scholar]
- A. S. Khowaja, L. Nkenyereye, G. Mujtaba, et al. FISTNet: FusIon of STyle-path generative Networks for facial style transfer. Information Fusion, 112102572-102572. (2024) DOI:10.1016/J.INFFUS.2024.102572. [Google Scholar]
- Y. Chen, H. Zhou, J. Chen, et al. Diffusion Model-Based Cartoon Style Transfer for Real-World 3D Scenes. ISPRS International Journal of Geo-Information, 14(8):303–303. (2025) DOI:10.3390/IJGI14080303. [Google Scholar]
- X. H. Zhang & Q. F. You. Research on a Diffusion Model-Driven Framework for New Media Animation Content Generation and Communication Optimization Based on Multimodal User Behavior Data and Attention Mechanism for Artistic Style Transfer Algorithms. International Journal of High Speed Electronics and Systems, (2025) https://doi.org/10.1142/S0129156425408666. [Google Scholar]
- Z. Y. Zhang. Research on Virtual Staining of Pathological Images Based on Generative Adversarial Networks. Shanghai Normal University, (2025) DOI: 10.27312/d.cnki.gshsu.2025.000462 [Google Scholar]
- S. Pan, Y. Pu, Z. Zhao, et al. StrCCL: Structure-aware Contrastive Consistency Loss for Artistic Style Transfer. Expert Systems With Applications, 299(PC):129901-129901. (2025) DOI:10.1016/J.ESWA.2025.129901. [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.

