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On the Design Fundamentals of Diffusion Models: A Survey

Ziyi Chang, George Alex Koulieris and Hubert P. H. Shum
arXiv Preprint, 2023

 Citation: 16#

On the Design Fundamentals of Diffusion Models: A Survey
# According to Google Scholar 2023"

Abstract

Diffusion models are generative models, which gradually add and remove noise to learn the underlying distribution of training data for data generation. The components of diffusion models have gained significant attention with many design choices proposed. Existing reviews have primarily focused on higher-level solutions, thereby covering less on the design fundamentals of components. This study seeks to address this gap by providing a comprehensive and coherent review on component-wise design choices in diffusion models. Specifically, we organize this review according to their three key components, namely the forward process, the reverse process, and the sampling procedure. This allows us to provide a fine-grained perspective of diffusion models, benefiting future studies in the analysis of individual components, the applicability of design choices, and the implementation of diffusion models.

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BibTeX

@article{chang23design,
 author={Chang, Ziyi and Koulieris, George Alex and Shum, Hubert P. H.},
 journal={arXiv},
 title={On the Design Fundamentals of Diffusion Models: A Survey},
 year={2023},
 eprint={arXiv:2306.04542},
 archivePrefix={arXiv},
 primaryClass={cs.LG},
 doi={10.48550/arXiv.2306.04542},
 url={http://arxiv.org/abs/2306.04542},
}

RIS

TY  - Preprint
AU  - Chang, Ziyi
AU  - Koulieris, George Alex
AU  - Shum, Hubert P. H.
JO  - arXiv preprints
SP  - arXiv:2306.04542
KW  - cs.LG
TI  - On the Design Fundamentals of Diffusion Models: A Survey
PY  - 2023
DO  - 10.48550/arXiv.2306.04542
ER  - 

Plain Text

Ziyi Chang, George Alex Koulieris and Hubert P. H. Shum, "On the Design Fundamentals of Diffusion Models: A Survey," arXiv preprint arXiv:2306.04542, 2023.

Supporting Grants

Similar Research

Alan Godfrey, Victoria Hetherington, Hubert P. H. Shum, Paolo Bonato, Nigel Lovell and Sam Stuart, "From A to Z: Wearable Technology Explained", Maturitas, 2018

 

 

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