A Survey on Generative Diffusion Models

Deep generative models have unlocked another profound realm of human creativity. By capturing and generalizing patterns within data, we have entered the epoch of all-encompassing Artificial Intelligence for General Creativity (AIGC). Notably, diffusion models, recognized as one of the paramount gene...

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Veröffentlicht in:	IEEE transactions on knowledge and data engineering Jg. 36; H. 7; S. 2814 - 2830
Hauptverfasser:	Cao, Hanqun, Tan, Cheng, Gao, Zhangyang, Xu, Yilun, Chen, Guangyong, Heng, Pheng-Ann, Li, Stan Z.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.07.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Artificial intelligence Computational modeling Creativity deep generative model diffusion algorithm diffusion applications Diffusion layers Diffusion model Kernel Markov processes Mathematical models Noise reduction Surveys Training
ISSN:	1041-4347, 1558-2191
Online-Zugang:	Volltext
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