Open Access
| Issue |
ITM Web Conf.
Volume 73, 2025
International Workshop on Advanced Applications of Deep Learning in Image Processing (IWADI 2024)
|
|
|---|---|---|
| Article Number | 02039 | |
| Number of page(s) | 7 | |
| Section | Machine Learning, Deep Learning, and Applications | |
| DOI | https://doi.org/10.1051/itmconf/20257302039 | |
| Published online | 17 February 2025 | |
- International Telecommunication Union (ITU), The World in Stats: Internet Users (Latest available year). [Google Scholar]
- J. Johnson, A. Alahi, L. Fei-Fei, Perceptual losses for real-time style transfer and super- resolution, In Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The Netherlands, October 11-14, 2016, Proceedings, Part II 14, Springer International Publishing, 694–711 (2016). [Google Scholar]
- T. Park, M. Y. Liu, T. C. Wang, et al., Semantic image synthesis with spatially-adaptive normalization, In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2337–2346 (2019). [Google Scholar]
- P. Isola, J. Y. Zhu, T. Zhou, et al., Image-to-image translation with conditional adversarial networks, In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 1125–1134 (2017). [Google Scholar]
- T. Karras, S. Laine, T. Aila, A style-based generator architecture for generative adversarial networks, In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 4401–4410 (2019). [Google Scholar]
- T. Karras, S. Laine, M. Aittala, et al., Analyzing and improving the image quality of stylegan, In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 8110–8119 (2020). [Google Scholar]
- A. Ahanian, L. Chai, P. Isola, On the “steerability” of generative adversarial networks, arXiv preprint arXiv:1907.07171 (2019). [Google Scholar]
- T. Karras, M. Aittala, S. Laine, et al., Alias-free generative adversarial networks, Advances in Neural Information Processing Systems 34, 852–863 (2021). [Google Scholar]
- Y. M. Liao, Y. F. Huang, Deep Learning-Based Application of Image Style Transfer, Mathematical Problems in Engineering 2022, 1693892 (2022). [Google Scholar]
- A. Sauer, T. Karras, S. Laine, et al., Stylegan-t: Unlocking the power of gans for fast large-scale text-to-image synthesis, In International Conference on Machine Learning, PMLR, 30105–30118 (2023). [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.