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Diffusion model (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Diffusion model" in English language version.

Last modified:

Ref.Un. Ref.Website
Global rank English rank
6450arxiv.org
49th place
31st place
1010doi.org
2nd place
2nd place
97worldcat.org
4th place
4th place
64neurips.cc
low place
9,062nd place
44mlr.press
low place
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43github.com
380th place
337th place
33adsabs.harvard.edu
14th place
9th place
33openreview.net
low place
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33thecvf.com
low place
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33meta.com
low place
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31acm.org
1,200th place
821st place
22yang-song.net
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22deepmind.google
low place
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22nih.gov
5th place
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21lilianweng.github.io
low place
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11semanticscholar.org
15th place
8th place
11royalsocietypublishing.org
1,880th place
2,810th place
11calcalistech.com
low place
6,949th place
11the-decoder.com
low place
low place
11prnewswire.com
546th place
310th place
11jalammar.github.io
low place
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11research.google
low place
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acm.org (Global: 1,200th place; English: 821st place)

dl.acm.org

adsabs.harvard.edu (Global: 14th place; English: 9th place)

ui.adsabs.harvard.edu

arxiv.org (Global: 49th place; English: 31st place)

  • Chang, Ziyi; Koulieris, George Alex; Chang, Hyung Jin; Shum, Hubert P. H. (2026). "On the Design Fundamentals of Diffusion Models: A Survey". Pattern Recognition 111934. Elsevier. doi:10.1016/j.patcog.2025.111934. ISSN 0031-3203.
  • Song, Yang; Sohl-Dickstein, Jascha; Kingma, Diederik P.; Kumar, Abhishek; Ermon, Stefano; Poole, Ben (2021-02-10). "Score-Based Generative Modeling through Stochastic Differential Equations". arXiv:2011.13456 [cs.LG].
  • Croitoru, Florinel-Alin; Hondru, Vlad; Ionescu, Radu Tudor; Shah, Mubarak (2023). "Diffusion Models in Vision: A Survey". IEEE Transactions on Pattern Analysis and Machine Intelligence. 45 (9): 10850–10869. arXiv:2209.04747. Bibcode:2023ITPAM..4510850C. doi:10.1109/TPAMI.2023.3261988. PMID 37030794. S2CID 252199918.
  • Gu, Shuyang; Chen, Dong; Bao, Jianmin; Wen, Fang; Zhang, Bo; Chen, Dongdong; Yuan, Lu; Guo, Baining (2021). "Vector Quantized Diffusion Model for Text-to-Image Synthesis". arXiv:2111.14822 [cs.CV].
  • Li, Yifan; Zhou, Kun; Zhao, Wayne Xin; Wen, Ji-Rong (August 2023). "Diffusion Models for Non-autoregressive Text Generation: A Survey". Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence. California: International Joint Conferences on Artificial Intelligence Organization. pp. 6692–6701. arXiv:2303.06574. doi:10.24963/ijcai.2023/750. ISBN 978-1-956792-03-4.
  • Xu, Weijie; Hu, Wenxiang; Wu, Fanyou; Sengamedu, Srinivasan (2023). "DeTiME: Diffusion-Enhanced Topic Modeling using Encoder-decoder based LLM". Findings of the Association for Computational Linguistics: EMNLP 2023. Stroudsburg, PA, USA: Association for Computational Linguistics: 9040–9057. arXiv:2310.15296. doi:10.18653/v1/2023.findings-emnlp.606.
  • Zhang, Haopeng; Liu, Xiao; Zhang, Jiawei (2023). "DiffuSum: Generation Enhanced Extractive Summarization with Diffusion". Findings of the Association for Computational Linguistics: ACL 2023. Stroudsburg, PA, USA: Association for Computational Linguistics: 13089–13100. arXiv:2305.01735. doi:10.18653/v1/2023.findings-acl.828.
  • Yang, Dongchao; Yu, Jianwei; Wang, Helin; Wang, Wen; Weng, Chao; Zou, Yuexian; Yu, Dong (2023). "Diffsound: Discrete Diffusion Model for Text-to-Sound Generation". IEEE/ACM Transactions on Audio, Speech, and Language Processing. 31: 1720–1733. arXiv:2207.09983. Bibcode:2023ITASL..31.1720Y. doi:10.1109/taslp.2023.3268730. ISSN 2329-9290.
  • Janner, Michael; Du, Yilun; Tenenbaum, Joshua B.; Levine, Sergey (2022-12-20). "Planning with Diffusion for Flexible Behavior Synthesis". arXiv:2205.09991 [cs.LG].
  • Chi, Cheng; Xu, Zhenjia; Feng, Siyuan; Cousineau, Eric; Du, Yilun; Burchfiel, Benjamin; Tedrake, Russ; Song, Shuran (2024-03-14). "Diffusion Policy: Visuomotor Policy Learning via Action Diffusion". arXiv:2303.04137 [cs.RO].
  • Sohl-Dickstein, Jascha; Weiss, Eric; Maheswaranathan, Niru; Ganguli, Surya (2015-06-01). "Deep Unsupervised Learning using Nonequilibrium Thermodynamics" (PDF). Proceedings of the 32nd International Conference on Machine Learning. 37. PMLR: 2256–2265. arXiv:1503.03585.
  • Song, Yang; Ermon, Stefano (2019). "Generative Modeling by Estimating Gradients of the Data Distribution". Advances in Neural Information Processing Systems. 32. Curran Associates, Inc. arXiv:1907.05600.
  • Song, Yang; Sohl-Dickstein, Jascha; Kingma, Diederik P.; Kumar, Abhishek; Ermon, Stefano; Poole, Ben (2021-02-10). "Score-Based Generative Modeling through Stochastic Differential Equations". arXiv:2011.13456 [cs.LG].
  • Luo, Calvin (2022). "Understanding Diffusion Models: A Unified Perspective". arXiv:2208.11970v1 [cs.LG].
  • Song, Jiaming; Meng, Chenlin; Ermon, Stefano (3 Oct 2023). "Denoising Diffusion Implicit Models". arXiv:2010.02502 [cs.LG].
  • Rombach, Robin; Blattmann, Andreas; Lorenz, Dominik; Esser, Patrick; Ommer, Björn (13 April 2022). "High-Resolution Image Synthesis With Latent Diffusion Models". arXiv:2112.10752 [cs.CV].
  • Dhariwal, Prafulla; Nichol, Alex (2021-06-01). "Diffusion Models Beat GANs on Image Synthesis". arXiv:2105.05233 [cs.LG].
  • Ho, Jonathan; Salimans, Tim (2022-07-25). "Classifier-Free Diffusion Guidance". arXiv:2207.12598 [cs.LG].
  • Chung, Hyungjin; Kim, Jeongsol; Park, Geon Yeong; Nam, Hyelin; Ye, Jong Chul (2024-06-12). "CFG++: Manifold-constrained Classifier Free Guidance for Diffusion Models". arXiv:2406.08070 [cs.CV].
  • Sanchez, Guillaume; Fan, Honglu; Spangher, Alexander; Levi, Elad; Ammanamanchi, Pawan Sasanka; Biderman, Stella (2023-06-30). "Stay on topic with Classifier-Free Guidance". arXiv:2306.17806 [cs.CL].
  • Armandpour, Mohammadreza; Sadeghian, Ali; Zheng, Huangjie; Sadeghian, Amir; Zhou, Mingyuan (2023-04-26). "Re-imagine the Negative Prompt Algorithm: Transform 2D Diffusion into 3D, alleviate Janus problem and Beyond". arXiv:2304.04968 [cs.CV].
  • Yang, Ling; Zhang, Zhilong; Song, Yang; Hong, Shenda; Xu, Runsheng; Zhao, Yue; Zhang, Wentao; Cui, Bin; Yang, Ming-Hsuan (2022). "Diffusion Models: A Comprehensive Survey of Methods and Applications". arXiv:2206.00364 [cs.CV].
  • Shi, Jiaxin; Han, Kehang; Wang, Zhe; Doucet, Arnaud; Titsias, Michalis K. (2024). "Simplified and Generalized Masked Diffusion for Discrete Data". arXiv:2406.04329 [cs.LG].
  • Karras, Tero; Aittala, Miika; Aila, Timo; Laine, Samuli (2022). "Elucidating the Design Space of Diffusion-Based Generative Models". arXiv:2206.00364v2 [cs.CV].
  • Xu, Yilun; Liu, Ziming; Tian, Yonglong; Tong, Shangyuan; Tegmark, Max; Jaakkola, Tommi (2023-07-03). "PFGM++: Unlocking the Potential of Physics-Inspired Generative Models". Proceedings of the 40th International Conference on Machine Learning. PMLR: 38566–38591. arXiv:2302.04265.
  • Dockhorn, Tim; Vahdat, Arash; Kreis, Karsten (2021-10-06). "Score-Based Generative Modeling with Critically-Damped Langevin Diffusion". arXiv:2112.07068 [stat.ML].
  • Liu, Ziming; Luo, Di; Xu, Yilun; Jaakkola, Tommi; Tegmark, Max (2023-04-05). "GenPhys: From Physical Processes to Generative Models". arXiv:2304.02637 [cs.LG].
  • Bansal, Arpit; Borgnia, Eitan; Chu, Hong-Min; Li, Jie; Kazemi, Hamid; Huang, Furong; Goldblum, Micah; Geiping, Jonas; Goldstein, Tom (2023-12-15). "Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise". Advances in Neural Information Processing Systems. 36: 41259–41282. arXiv:2208.09392.
  • Tong, Alexander; Fatras, Kilian; Malkin, Nikolay; Huguet, Guillaume; Zhang, Yanlei; Rector-Brooks, Jarrid; Wolf, Guy; Bengio, Yoshua (2023-11-08). "Improving and generalizing flow-based generative models with minibatch optimal transport". Transactions on Machine Learning Research. arXiv:2302.00482. ISSN 2835-8856.
  • Liu, Xingchao; Gong, Chengyue; Liu, Qiang (2022-09-07). "Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow". arXiv:2209.03003 [cs.LG].
  • Liu, Qiang (2022-09-29). "Rectified Flow: A Marginal Preserving Approach to Optimal Transport". arXiv:2209.14577 [stat.ML].
  • Ho, Jonathan; Saharia, Chitwan; Chan, William; Fleet, David J.; Norouzi, Mohammad; Salimans, Tim (2022-01-01). "Cascaded diffusion models for high fidelity image generation". The Journal of Machine Learning Research. 23 (1): 47:2249–47:2281. arXiv:2106.15282. ISSN 1532-4435.
  • Peebles, William; Xie, Saining (March 2023). "Scalable Diffusion Models with Transformers". arXiv:2212.09748v2 [cs.CV].
  • Fei, Zhengcong; Fan, Mingyuan; Yu, Changqian; Li, Debang; Huang, Junshi (2024-07-16). "Scaling Diffusion Transformers to 16 Billion Parameters". arXiv:2407.11633 [cs.CV].
  • Tevet, Guy; Raab, Sigal; Gordon, Brian; Shafir, Yonatan; Cohen-Or, Daniel; Bermano, Amit H. (2022). "Human Motion Diffusion Model". arXiv:2209.14916 [cs.CV].
  • Zhang, Lvmin; Rao, Anyi; Agrawala, Maneesh (2023). "Adding Conditional Control to Text-to-Image Diffusion Models". arXiv:2302.05543 [cs.CV].
  • Lugmayr, Andreas; Danelljan, Martin; Romero, Andres; Yu, Fisher; Timofte, Radu; Van Gool, Luc (2022). "RePaint: Inpainting Using Denoising Diffusion Probabilistic Models". arXiv:2201.09865v4 [cs.CV].
  • Hertz, Amir; Mokady, Ron; Tenenbaum, Jay; Aberman, Kfir; Pritch, Yael; Cohen-Or, Daniel (2022-08-02). "Prompt-to-Prompt Image Editing with Cross Attention Control". arXiv:2208.01626 [cs.CV].
  • Wang, Xintao; Xie, Liangbin; Dong, Chao; Shan, Ying (2021). "Real-ESRGAN: Training Real-World Blind Super-Resolution With Pure Synthetic Data" (PDF). Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, 2021. International Conference on Computer Vision. pp. 1905–1914. arXiv:2107.10833.
  • Liang, Jingyun; Cao, Jiezhang; Sun, Guolei; Zhang, Kai; Van Gool, Luc; Timofte, Radu (2021). "SwinIR: Image Restoration Using Swin Transformer" (PDF). Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops. International Conference on Computer Vision, 2021. pp. 1833–1844. arXiv:2108.10257v1.
  • Nichol, Alex; Dhariwal, Prafulla; Ramesh, Aditya; Shyam, Pranav; Mishkin, Pamela; McGrew, Bob; Sutskever, Ilya; Chen, Mark (2022-03-08). "GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models". arXiv:2112.10741 [cs.CV].
  • Ramesh, Aditya; Dhariwal, Prafulla; Nichol, Alex; Chu, Casey; Chen, Mark (2022-04-12). "Hierarchical Text-Conditional Image Generation with CLIP Latents". arXiv:2204.06125 [cs.CV].
  • Esser, Patrick; Kulal, Sumith; Blattmann, Andreas; Entezari, Rahim; Müller, Jonas; Saini, Harry; Levi, Yam; Lorenz, Dominik; Sauer, Axel (2024-03-05). "Scaling Rectified Flow Transformers for High-Resolution Image Synthesis". arXiv:2403.03206 [cs.CV].
  • Xie, Yiming; Yao, Chun-Han; Voleti, Vikram; Jiang, Huaizu; Jampani, Varun (2024-07-24). "SV4D: Dynamic 3D Content Generation with Multi-Frame and Multi-View Consistency". arXiv:2407.17470 [cs.CV].
  • Saharia, Chitwan; Chan, William; Saxena, Saurabh; Li, Lala; Whang, Jay; Denton, Emily L.; Ghasemipour, Kamyar; Gontijo Lopes, Raphael; Karagol Ayan, Burcu; Salimans, Tim; Ho, Jonathan; Fleet, David J.; Norouzi, Mohammad (2022-12-06). "Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding". Advances in Neural Information Processing Systems. 35: 36479–36494. arXiv:2205.11487.
  • Chang, Huiwen; Zhang, Han; Barber, Jarred; Maschinot, A. J.; Lezama, Jose; Jiang, Lu; Yang, Ming-Hsuan; Murphy, Kevin; Freeman, William T. (2023-01-02). "Muse: Text-To-Image Generation via Masked Generative Transformers". arXiv:2301.00704 [cs.CV].
  • Imagen-Team-Google; Baldridge, Jason; Bauer, Jakob; Bhutani, Mukul; Brichtova, Nicole; Bunner, Andrew; Castrejon, Lluis; Chan, Kelvin; Chen, Yichang (2024-12-13), Imagen 3, arXiv:2408.07009 {{citation}}: |last1= has generic name (help)
  • Singer, Uriel; Polyak, Adam; Hayes, Thomas; Yin, Xi; An, Jie; Zhang, Songyang; Hu, Qiyuan; Yang, Harry; Ashual, Oron (2022-09-29). "Make-A-Video: Text-to-Video Generation without Text-Video Data". arXiv:2209.14792 [cs.CV].
  • Chameleon Team (2024-05-16). "Chameleon: Mixed-Modal Early-Fusion Foundation Models". arXiv:2405.09818 [cs.CL].
  • Zhou, Chunting; Yu, Lili; Babu, Arun; Tirumala, Kushal; Yasunaga, Michihiro; Shamis, Leonid; Kahn, Jacob; Ma, Xuezhe; Zettlemoyer, Luke (2024-08-20). "Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model". arXiv:2408.11039 [cs.AI].

calcalistech.com (Global: low place; English: 6,949th place)

deepmind.google (Global: low place; English: low place)

doi.org (Global: 2nd place; English: 2nd place)

doi.org

dx.doi.org

github.com (Global: 380th place; English: 337th place)

jalammar.github.io (Global: low place; English: low place)

lilianweng.github.io (Global: low place; English: low place)

meta.com (Global: low place; English: low place)

ai.meta.com

mlr.press (Global: low place; English: low place)

proceedings.mlr.press

neurips.cc (Global: low place; English: 9,062nd place)

proceedings.neurips.cc

nih.gov (Global: 5th place; English: 5th place)

pubmed.ncbi.nlm.nih.gov

ncbi.nlm.nih.gov

openreview.net (Global: low place; English: low place)

prnewswire.com (Global: 546th place; English: 310th place)

research.google (Global: low place; English: low place)

imagen.research.google

royalsocietypublishing.org (Global: 1,880th place; English: 2,810th place)

semanticscholar.org (Global: 15th place; English: 8th place)

api.semanticscholar.org

the-decoder.com (Global: low place; English: low place)

thecvf.com (Global: low place; English: low place)

openaccess.thecvf.com

worldcat.org (Global: 4th place; English: 4th place)

search.worldcat.org

yang-song.net (Global: low place; English: low place)