Open Access
| Issue |
ITM Web Conf.
Volume 80, 2025
2025 2nd International Conference on Advanced Computer Applications and Artificial Intelligence (ACAAI 2025)
|
|
|---|---|---|
| Article Number | 01018 | |
| Number of page(s) | 7 | |
| Section | Machine Learning & Deep Learning Algorithms | |
| DOI | https://doi.org/10.1051/itmconf/20258001018 | |
| Published online | 16 December 2025 | |
- M.M. Rahman, B. Chen, H. Zeng. ViT-StyleGAN2-ADA for Limited-Data Training. Preprints (2025) https://doi.org/10.20944/preprints202507.0296.v1 [Google Scholar]
- Z. He, K. Wu, Y. Wen. Defect image generation through feature disentanglement using StyleGAN2-ADA. Neurocomputing 647, 130455 (2025) https://doi.org/10.1016/j.neucom.2025.130455 [Google Scholar]
- X. Wu, H. Wang, Y. Wu, X. Li. D³T-GAN: Data-Dependent Domain Transfer GANs for Image Generation with Limited Data. ACM Trans. Multimed. Comput. Commun. Appl. 19(4), 146, 1–20 (2023) https://doi.org/10.1145/3576858 [Google Scholar]
- Y. Wang, A. Gonzalez-Garcia, D. Berga, L. Herranz, F.S. Khan, J. van de Weijer. MineGAN: effective knowledge transfer from GANs to target domains with few images. arXiv preprint arXiv:1912.05270 (2019) https://doi.org/10.48550/arXiv.1912.05270 [Google Scholar]
- Y. Duan, L. Niu, Y. Hong, L. Zhang. WeditGAN: Few-Shot Image Generation via Latent Space Relocation. arXiv preprint arXiv:2305.06671 (2023) https://doi.org/10.48550/arXiv.2305.06671 [Google Scholar]
- G. Yang, N. Fei, M. Ding, G. Liu, Z. Lu, T. Xiang. L2M-GAN: Learning to Manipulate Latent Space Semantics for Facial Attribute Editing. In Proc. IEEE/CVF Conf. Comput. Vis. Pattern Recognit. (CVPR), IEEE, 2021. https://doi.org/10.1109/CVPR46437.2021.01112 [Google Scholar]
- V. Sushko, R. Wang, J. Gall. Smoothness Similarity Regularization for Few-Shot GAN Adaptation. arXiv preprint arXiv:2308.09717 (2023) https://doi.org/10.48550/arXiv.2308.09717 [Google Scholar]
- Z. Li, M. Usman, R. Tao, P. Xia, C. Wang, H. Chen, B. Li. A Systematic Survey of Regularization and Normalization in GANs. ACM Comput. Surv. 55(11), 232, 1–37 (2023) https://doi.org/10.1145/3569928 [CrossRef] [Google Scholar]
- R. Kumar, G. Sivakumar. DEff-GAN: Diverse Attribute Transfer for Few-Shot Image Synthesis. arXiv preprint arXiv:2302.14533 (2023) https://doi.org/10.48550/arXiv.2302.14533 [Google Scholar]
- S. Zhao, Z. Liu, J. Lin, J.-Y. Zhu, S. Han. Differentiable Augmentation for Data- Efficient GAN Training. In Adv. Neural Inf. Process. Syst. (NeurIPS), 7559–7570 (2020) https://proceedings.neurips.cc/paper/2020/hash/55479c55ebd1efd3ff125f1337100388- Abstract.html [Google Scholar]
- M. Welfert, G.R. Kurri, K. Ottsot, L. Sankar. Addressing GAN Training Instabilities via Tunable Classification Losses. arXiv preprint arXiv:2310.18291 (2023) https://doi.org/10.48550/arXiv.2310.18291 [Google Scholar]
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