Typographic Text Generation with Off-the-Shelf Diffusion Model

Author:

Peong KhayTze,Uchida SeiichiORCID,Haraguchi DaichiORCID

Publisher

Springer Nature Switzerland

Reference34 articles.

1. DeepFloyd. GitHub link (2023). https://github.com/deep-floyd/if

2. Avrahami, O., Fried, O., Lischinski, D.: Blended latent diffusion. ACM Trans. Graph. (TOG) 42(4), 1–11 (2023)

3. Chen, H., et al.: DiffUTE: universal text editing diffusion model. In: Proceedings of the Conference on Neural Information Processing Systems (NeurIPS) (2023)

4. Chen, J., Huang, Y., Lv, T., Cui, L., Chen, Q., Wei, F.: TextDiffuser: diffusion models as text painters. In: Proceedings of the Conference on Neural Information Processing Systems (NeurIPS) (2023)

5. Dhariwal, P., Nichol, A.: Diffusion models beat GANs on image synthesis. Proc. Adv. Neural Inf. Process. Syst. (NeurIPS) 34, 8780–8794 (2021)

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