A Survey on Generative Diffusion Models
Hanqun Cao, Cheng Tan, Zhangyang Gao et al.
2024 · IEEE Transactions on Knowledge and Data Engineering · 544 citations
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 generative models, materialize human ideation into tangible instances across diverse domains, encompassing imagery, text, speech, biology, and healthcare. To provide advanced and comprehensive insights into diffusion, this survey comprehensively elucidates its developmental trajectory and future direct…
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