Publisher
Springer Nature Switzerland
Reference12 articles.
1. Avrahami, O., Lischinski, D., Fried, O.: Blended diffusion for text-driven editing of natural images. In: IEEE/CVF CVPR, pp. 18208–18218 (2022)
2. Chefer, H., Alaluf, Y., Vinker, Y., Wolf, L., Cohen-Or, D.: Attend-and-excite: attention-based semantic guidance for text-to-image diffusion models. ACM Trans. Graph. (TOG) 42(4), 1–10 (2023)
3. Fan, A., et al.: Large language models for software engineering: survey and open problems (2023)
4. Jo, A.: The promise and peril of generative AI. Nature 614(1), 214–216 (2023)
5. Kang, M., et al.: Scaling up GANs for text-to-image synthesis. In: IEEE/CVF CVPR, pp. 10124–10134 (2023)
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