Sign In

Login

Password

Forgot Password ? Sign Up

Diffusion model (English Wikipedia)

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

refsWebsite
Global rank English rank
57arxiv.org
69th place
59th place
15doi.org
2nd place
2nd place
5neurips.cc
low place
low place
5worldcat.org
5th place
5th place
4mlr.press
low place
low place
3github.com
383rd place
320th place
3thecvf.com
low place
low place
3meta.com
low place
low place
2yang-song.net
low place
low place
2openreview.net
low place
low place
2deepmind.google
low place
low place
1nih.gov
4th place
4th place
1semanticscholar.org
11th place
8th place
1lilianweng.github.io
low place
low place
1ieee.org
652nd place
515th place
1cam.ac.uk
670th place
480th place
1acm.org
1,185th place
840th place
1jalammar.github.io
low place
low place
1research.google
low place
low place

acm.org

dl.acm.org

arxiv.org

  • Chang, Ziyi; Koulieris, George Alex; Shum, Hubert P. H. (2023). "On the Design Fundamentals of Diffusion Models: A Survey". arXiv:2306.04542 [cs.LG].
  • 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. 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].
  • Nie, Shen; Zhu, Fengqi; Du, Chao; Pang, Tianyu; Liu, Qian; Zeng, Guangtao; Lin, Min; Li, Chongxuan (2024). "Scaling up Masked Diffusion Models on Text". arXiv:2410.18514 [cs.AI].
  • 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.
  • Han, Xiaochuang; Kumar, Sachin; Tsvetkov, Yulia (2023). "SSD-LM: Semi-autoregressive Simplex-based Diffusion Language Model for Text Generation and Modular Control". Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Stroudsburg, PA, USA: Association for Computational Linguistics: 11575–11596. arXiv:2210.17432. doi:10.18653/v1/2023.acl-long.647.
  • 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. 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.
  • Gulrajani, Ishaan; Hashimoto, Tatsunori B. (2023-12-15). "Likelihood-Based Diffusion Language Models". Advances in Neural Information Processing Systems. 36: 16693–16715. arXiv:2305.18619.
  • Lou, Aaron; Meng, Chenlin; Ermon, Stefano (2024-06-06). "Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution". arXiv:2310.16834 [stat.ML].
  • 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].
  • Lipman, Yaron; Chen, Ricky T. Q.; Ben-Hamu, Heli; Nickel, Maximilian; Le, Matt (2023-02-08). "Flow Matching for Generative Modeling". arXiv:2210.02747 [cs.LG].
  • Albergo, Michael S.; Vanden-Eijnden, Eric (2023-03-09). "Building Normalizing Flows with Stochastic Interpolants". arXiv:2209.15571 [cs.LG].
  • 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].
  • Zhao, Zheng; Luo, Ziwei; Sjölund, Jens; Schön, Thomas B. (2024). "Conditional sampling within generative diffusion models". arXiv:2409.09650 [stat.ML].
  • 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, doi:10.48550/arXiv.2408.07009, retrieved 2024-12-23 {{citation}}: |last= 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].

cam.ac.uk

mlg.eng.cam.ac.uk

deepmind.google

doi.org

doi.org

dx.doi.org

github.com

ieee.org

ieeexplore.ieee.org

jalammar.github.io

lilianweng.github.io

meta.com

ai.meta.com

mlr.press

proceedings.mlr.press

neurips.cc

proceedings.neurips.cc

nih.gov

pubmed.ncbi.nlm.nih.gov

openreview.net

research.google

imagen.research.google

semanticscholar.org

api.semanticscholar.org

thecvf.com

openaccess.thecvf.com

worldcat.org

search.worldcat.org

yang-song.net