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@misc{kingma2022autoencodingvariationalbayes,
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      archivePrefix={arXiv},
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}

@misc{sohldickstein2015deepunsupervisedlearningusing,
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      archivePrefix={arXiv},
      primaryClass={cs.LG},
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@misc{song2022denoisingdiffusionimplicitmodels,
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      year={2022},
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      archivePrefix={arXiv},
      primaryClass={cs.LG},
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@article{JMLR:v6:hyvarinen05a,
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@misc{song2021scorebasedgenerativemodelingstochastic,
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@misc{ho2020denoisingdiffusionprobabilisticmodels,
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@misc{yang2024diffusionmodelscomprehensivesurvey,
      title={Diffusion Models: A Comprehensive Survey of Methods and Applications}, 
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      year={2024},
      eprint={2209.00796},
      archivePrefix={arXiv},
      primaryClass={cs.LG},
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}

@misc{melnik2024videodiffusionmodelssurvey,
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      author={Andrew Melnik and Michal Ljubljanac and Cong Lu and Qi Yan and Weiming Ren and Helge Ritter},
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      archivePrefix={arXiv},
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@ARTICLE{10737883,
  author={Moser, Brian B. and Shanbhag, Arundhati S. and Raue, Federico and Frolov, Stanislav and Palacio, Sebastian and Dengel, Andreas},
  journal={IEEE Transactions on Neural Networks and Learning Systems}, 
  title={Diffusion Models, Image Super-Resolution, and Everything: A Survey}, 
  year={2024},
  volume={},
  number={},
  pages={1-21},
  keywords={Image quality;Superresolution;Diffusion models;Surveys;Computational modeling;Faces;Degradation;Training;Standards;Reviews;Diffusion models (DMs);super-resolution (SR);survey},
  doi={10.1109/TNNLS.2024.3476671},
}

@misc{bent2024semanticapproachquantifyingconsistency,
      title={Semantic Approach to Quantifying the Consistency of Diffusion Model Image Generation}, 
      author={Brinnae Bent},
      year={2024},
      eprint={2404.08799},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
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}

@misc{luhman2022improvingdiffusionmodelefficiency,
      title={Improving Diffusion Model Efficiency Through Patching}, 
      author={Troy Luhman and Eric Luhman},
      year={2022},
      eprint={2207.04316},
      archivePrefix={arXiv},
      primaryClass={cs.LG},
      url={https://arxiv.org/abs/2207.04316}, 
}

@misc{rombach2022highresolutionimagesynthesislatent,
      title={High-Resolution Image Synthesis with Latent Diffusion Models}, 
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      year={2022},
      eprint={2112.10752},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2112.10752}, 
}

@misc{ramesh2022hierarchicaltextconditionalimagegeneration,
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      author={Aditya Ramesh and Prafulla Dhariwal and Alex Nichol and Casey Chu and Mark Chen},
      year={2022},
      eprint={2204.06125},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
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}

@misc{kulshreshtha2022featurerefinementimprovehigh,
      title={Feature Refinement to Improve High Resolution Image Inpainting}, 
      author={Prakhar Kulshreshtha and Brian Pugh and Salma Jiddi},
      year={2022},
      eprint={2206.13644},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2206.13644}, 
}

@misc{li2023diffusionmodelsimagerestoration,
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      year={2023},
      eprint={2308.09388},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2308.09388}, 
}

@misc{huang2024diffusionmodelbasedimageediting,
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      archivePrefix={arXiv},
      primaryClass={cs.CV},
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}

@misc{popov2021gradttsdiffusionprobabilisticmodel,
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      archivePrefix={arXiv},
      primaryClass={cs.LG},
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@article{李鹏程:65,
author = {李鹏程, 张旭龙, 王健宗, 程宁, 肖京},
title = {面向非平行语料的语音转换技术综述},
publisher = {大数据},
year = {2024},
journal = {大数据},
volume = {10},
number = {3},
eid = {65},
numpages = {16},
pages = {65},
keywords = {;语音转换;人工智能;深度学习},
url = {https://www.infocomm-journal.com/bdr/CN/abstract/article_174281.shtml},
doi = {10.11959/j.issn.2096-0271.2024011}
}  

@misc{richter2023speechenhancementdereverberationdiffusionbased,
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      year={2023},
      eprint={2208.05830},
      archivePrefix={arXiv},
      primaryClass={eess.AS},
      url={https://arxiv.org/abs/2208.05830}, 
}

@misc{zhu2023diffusionmodelsnlpsurvey,
      title={Diffusion Models in NLP: A Survey}, 
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      archivePrefix={arXiv},
      primaryClass={cs.CL},
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}

@misc{li2023diffusionmodelsnonautoregressivetext,
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      archivePrefix={arXiv},
      primaryClass={cs.CL},
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}

@misc{wang2024diffusionmodels3dvision,
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      year={2024},
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      archivePrefix={arXiv},
      primaryClass={cs.CV},
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}

@misc{zhang2023surveyaudiodiffusionmodels,
      title={A Survey on Audio Diffusion Models: Text To Speech Synthesis and Enhancement in Generative AI}, 
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      year={2023},
      eprint={2303.13336},
      archivePrefix={arXiv},
      primaryClass={cs.SD},
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}

@INPROCEEDINGS{10505362,
  author={Hu, Xinrong and Jin, Yuxin and Liang, Jinxing and Liu, Junping and Luo, Ruiqi and Li, Min and Peng, Tao},
  booktitle={2023 2nd International Conference on Artificial Intelligence, Human-Computer Interaction and Robotics (AIHCIR)}, 
  title={Diffusion Model for Image Generation - A Survey}, 
  year={2023},
  volume={},
  number={},
  pages={416-424},
  keywords={Surveys;Human computer interaction;Image synthesis;Superresolution;Robots;Research and development;Generative AI;AIGC;Diffusion Model;image generation;diffusion application},
  doi={10.1109/AIHCIR61661.2023.00073}
}

@misc{wang2024diffxguidelayoutcrossmodal,
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      archivePrefix={arXiv},
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}

@misc{lam2022bddmbilateraldenoisingdiffusion,
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      year={2022},
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      archivePrefix={arXiv},
      primaryClass={eess.AS},
      url={https://arxiv.org/abs/2203.13508}, 
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@Article{20210514,
title = {扩散噪声下协方差矩阵重构的语音分离与降噪},
journal = {声学学报},
volume = {46},
number = {5},
pages = {775-784},
year = {2021},
issn = {0371-0025},
doi = {10.15949/j.cnki.0371-0025.2021.05.014},
url = {https://www.jac.ac.cn/cn/article/doi/10.15949/j.cnki.0371-0025.2021.05.014},
author = {曾庆宁 and 王师琦}
}

@inproceedings{Zou2023ASO,
  title={A Survey of Diffusion Models in Natural Language Processing},
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@Article{Lin2024,
author={Lin, Lequan
and Li, Zhengkun
and Li, Ruikun
and Li, Xuliang
and Gao, Junbin},
title={Diffusion models for time-series applications: a survey},
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year={2024},
month={Jan},
day={01},
volume={25},
number={1},
pages={19-41},
issn={2095-9230},
doi={10.1631/FITEE.2300310},
url={https://doi.org/10.1631/FITEE.2300310}
}

@misc{pan2024tstitchacceleratingsamplingpretrained,
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      year={2024},
      eprint={2402.14167},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2402.14167}, 
}

@article{HUANG Guo-rui:2569,
author = {HUANG Guo-rui},
author = {WANG Shi-gui},
author = {LIU Xiao-qin},
author = {DING Guang-zhao},
title = {Research on Artificial Reaction Diffusion Network Model and Its Application},
publisher = {ACTA ELECTRONICA SINICA},
year = {2019},
journal = {Acta Electronica Sinica},
volume = {47},
number = {12},
eid = {2569},
pages = {2569-2574},
keywords = {endocrine system|hormone|reaction diffusion|robot|behavior control},
url = {https://www.ejournal.org.cn/EN/10.3969/j.issn.0372-2112.2019.12.016},
doi = {10.3969/j.issn.0372-2112.2019.12.016},
}

@misc{luo2022understandingdiffusionmodelsunified,
      title={Understanding Diffusion Models: A Unified Perspective}, 
      author={Calvin Luo},
      year={2022},
      eprint={2208.11970},
      archivePrefix={arXiv},
      primaryClass={cs.LG},
      url={https://arxiv.org/abs/2208.11970}, 
}