Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Reference55 articles.
1. An, J., & Cho, S. (2015). Variational autoencoder based anomaly detection using reconstruction probability. Special Lecture on IE, 2(1), 1–18.
2. Baek, K., Choi, Y., Uh, Y., Yoo, J., & Shim, H. (2021). Rethinking the truly unsupervised image-to-image translation. In Proceedings of the IEEE/CVF international conference on computer vision (pp. 14154–14163).
3. Cha, J., Chun, S., Lee, G., Lee, B., Kim, S., & Lee, H. (2020). Few-shot compositional font generation with dual memory. In European conference on computer vision (pp. 735–751). Springer.
4. Cheng, S. I., Chen, Y. J., Chiu, W. C., Tseng, H. Y., & Lee, H. Y. (2023). Adaptively-realistic image generation from stroke and sketch with diffusion model. In Proceedings of the IEEE/CVF winter conference on applications of computer vision (pp. 4054–4062).
5. Choi, J., Kim, S., Jeong, Y., Gwon, Y., & Yoon, S. (2021). Ilvr: Conditioning method for denoising diffusion probabilistic models. arXiv:2108.02938
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Chinese Character Font Generation Based on Diffusion Model;2024 5th International Conference on Computer Engineering and Application (ICCEA);2024-04-12