Multimodal Image Synthesis and Editing: The Generative AI Era

Author:

Zhan Fangneng1ORCID,Yu Yingchen2ORCID,Wu Rongliang2ORCID,Zhang Jiahui2ORCID,Lu Shijian2ORCID,Liu Lingjie1ORCID,Kortylewski Adam1ORCID,Theobalt Christian1ORCID,Xing Eric3

Affiliation:

1. Max Planck Institute for Informatics, Saarbrücken, Germany

2. Nanyang Technological University, Singapore

3. Carnegie Mellon University, Pittsburgh, PA, USA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software

Cited by 14 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. Multimodal Outputs for the Workplace From Generative AI;Advances in Multimedia and Interactive Technologies;2024-07-17

2. Human Image Generation: A Comprehensive Survey;ACM Computing Surveys;2024-06-28

3. Combining simulated data, foundation models, and few real samples for training object detectors;Synthetic Data for Artificial Intelligence and Machine Learning: Tools, Techniques, and Applications II;2024-06-07

4. Survey on Visual Signal Coding and Processing With Generative Models: Technologies, Standards, and Optimization;IEEE Journal on Emerging and Selected Topics in Circuits and Systems;2024-06

5. 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

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