Author:
Pawar Abhishek,Hiwanj Riya,Jadhav Ashwini,Shaikh Asrar,Kharat Sharmila
Publisher
Springer Nature Singapore
Reference23 articles.
1. Zia T, Arif S, Murtaza S, Ullah MA (2020) Text-to-image generation with attention based recurrent neural networks. arXiv preprint arXiv:2001.06658
2. Khan MZ, Jabeen S, Khan MUG, Saba T, Rehmat A, Rehman A, Tariq U (2021) A realistic image generation of face from text description using the fully trained generative adversarial networks. IEEE Access
3. Reed S, Akata Z, Yan X, Logeswaran L, Schiele B, Lee H (2016) Generative adversarial text to image synthesis. In: International conference on machine learning. PMLR, pp 1060–1069
4. Crowson K, Biderman S, Kornis D, Stander D, Hallahan E, Castricato L, Raff E (2022) VQGAN-CLIP: open domain image generation and editing with natural language guidance
5. Zhang H, Koh JY, Baldridge J, Lee H, Yang Y (2021) Cross-modal contrastive learning for text-to-image generation. In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp 833–842