1. Jie Chen , Gang Liu , and Xin Chen . 2019 . AnimeGAN: a novel lightweight GAN for photo animation . In International Symposium on Intelligence Computation and Applications. Springer, 242–256 . Jie Chen, Gang Liu, and Xin Chen. 2019. AnimeGAN: a novel lightweight GAN for photo animation. In International Symposium on Intelligence Computation and Applications. Springer, 242–256.
2. Min Jin Chong and David Forsyth . 2021 . Jojogan: One shot face stylization. arXiv preprint arXiv:2112.11641(2021). Min Jin Chong and David Forsyth. 2021. Jojogan: One shot face stylization. arXiv preprint arXiv:2112.11641(2021).
3. Tero Karras Samuli Laine Miika Aittala Janne Hellsten Jaakko Lehtinen and Timo Aila. 2020. Analyzing and improving the image quality of stylegan. In CVPR. Tero Karras Samuli Laine Miika Aittala Janne Hellsten Jaakko Lehtinen and Timo Aila. 2020. Analyzing and improving the image quality of stylegan. In CVPR.
4. Junho Kim , Minjae Kim , Hyeonwoo Kang , and Kwanghee Lee . 2020 . U-gat-it: Unsupervised generative attentional networks with adaptive layer-instance normalization for image-to-image translation. ICLR (2020). Junho Kim, Minjae Kim, Hyeonwoo Kang, and Kwanghee Lee. 2020. U-gat-it: Unsupervised generative attentional networks with adaptive layer-instance normalization for image-to-image translation. ICLR (2020).
5. Seungkwon Kim , Chaeheon Gwak , Dohyun Kim , Kwangho Lee , Jihye Back , Namhyuk Ahn , and Daesik Kim . 2022 . Cross-Domain Style Mixing for Face Cartoonization. CVPR Workshops (2022). Seungkwon Kim, Chaeheon Gwak, Dohyun Kim, Kwangho Lee, Jihye Back, Namhyuk Ahn, and Daesik Kim. 2022. Cross-Domain Style Mixing for Face Cartoonization. CVPR Workshops (2022).