A Realistic Image Generation of Face From Text Description Using the Fully Trained Generative Adversarial Networks

Author:

Khan Muhammad Zeeshan,Jabeen Saira,Khan Muhammad Usman Ghani,Saba TanzilaORCID,Rehmat Asim,Rehman AmjadORCID,Tariq UsmanORCID

Funder

National Center of Artificial Intelligence, Pakistan

Artificial Intelligence and Data Analytics Lab, Prince Sultan University, Riyadh, Saudi Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Cited by 40 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. SDFD: Building a Versatile Synthetic Face Image Dataset with Diverse Attributes;2024 IEEE 18th International Conference on Automatic Face and Gesture Recognition (FG);2024-05-27

2. A Review on the Human Face Generation Approaches;2024 International Conference on Inventive Computation Technologies (ICICT);2024-04-24

3. Synthesizing 3D Faces and Bodies from Text: A Stable Diffusion-based Fusion of DECA and PIFuHD;2024 IEEE 9th International Conference for Convergence in Technology (I2CT);2024-04-05

4. Text-Guided Synthesis of Masked Face Images;ACM Transactions on Multimedia Computing, Communications, and Applications;2024-03-30

5. Fine-grained image emotion captioning based on Generative Adversarial Networks;Multimedia Tools and Applications;2024-03-08

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