Diffusion model (English Wikipedia)

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.

arxiv.org (Global: 69^th place; English: 59^th place)

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].
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. 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.
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].
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, 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].

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

"Imagen 2 - our most advanced text-to-image technology". Google DeepMind. Retrieved 2024-04-04.
"Veo". Google DeepMind. 2024-05-14. Retrieved 2024-05-17.

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

doi.org

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.
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. Bibcode:2023ITASL..31.1720Y. doi:10.1109/taslp.2023.3268730. ISSN 2329-9290.
Anderson, Brian D.O. (May 1982). "Reverse-time diffusion equation models". Stochastic Processes and Their Applications. 12 (3): 313–326. doi:10.1016/0304-4149(82)90051-5. ISSN 0304-4149.
Cao, Hanqun; Tan, Cheng; Gao, Zhangyang; Xu, Yilun; Chen, Guangyong; Heng, Pheng-Ann; Li, Stan Z. (July 2024). "A Survey on Generative Diffusion Models". IEEE Transactions on Knowledge and Data Engineering. 36 (7): 2814–2830. Bibcode:2024ITKDE..36.2814C. doi:10.1109/TKDE.2024.3361474. ISSN 1041-4347.

dx.doi.org

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. Bibcode:2023ITASL..31.1720Y. doi:10.1109/taslp.2023.3268730. ISSN 2329-9290.
Anderson, Brian D.O. (May 1982). "Reverse-time diffusion equation models". Stochastic Processes and Their Applications. 12 (3): 313–326. doi:10.1016/0304-4149(82)90051-5. ISSN 0304-4149.

github.com (Global: 383^rd place; English: 320^th place)

GLIDE, OpenAI, 2023-09-22, retrieved 2023-09-24
Ho, Jonathan (Jun 20, 2020), hojonathanho/diffusion, retrieved 2024-09-07
ermongroup/ncsn, ermongroup, 2019, retrieved 2024-09-07

harvard.edu (Global: 18^th place; English: 17^th place)

ui.adsabs.harvard.edu

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.
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.
Cao, Hanqun; Tan, Cheng; Gao, Zhangyang; Xu, Yilun; Chen, Guangyong; Heng, Pheng-Ann; Li, Stan Z. (July 2024). "A Survey on Generative Diffusion Models". IEEE Transactions on Knowledge and Data Engineering. 36 (7): 2814–2830. Bibcode:2024ITKDE..36.2814C. doi:10.1109/TKDE.2024.3361474. ISSN 1041-4347.

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

Alammar, Jay. "The Illustrated Stable Diffusion". jalammar.github.io. Retrieved 2022-10-31.

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

Weng, Lilian (2021-07-11). "What are Diffusion Models?". lilianweng.github.io. Retrieved 2023-09-24.

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

ai.meta.com

"Introducing Make-A-Video: An AI system that generates videos from text". ai.meta.com. Retrieved 2024-09-20.
"Introducing CM3leon, a more efficient, state-of-the-art generative model for text and images". ai.meta.com. Retrieved 2024-09-20.
Movie Gen: A Cast of Media Foundation Models, The Movie Gen team @ Meta, October 4, 2024.

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

proceedings.mlr.press

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.
Nichol, Alexander Quinn; Dhariwal, Prafulla (2021-07-01). "Improved Denoising Diffusion Probabilistic Models". Proceedings of the 38th International Conference on Machine Learning. PMLR: 8162–8171.
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.
Song, Yang; Dhariwal, Prafulla; Chen, Mark; Sutskever, Ilya (2023-07-03). "Consistency Models". Proceedings of the 40th International Conference on Machine Learning. PMLR: 32211–32252.

neurips.cc (Global: low place; English: low place)

proceedings.neurips.cc

Ho, Jonathan; Jain, Ajay; Abbeel, Pieter (2020). "Denoising Diffusion Probabilistic Models". Advances in Neural Information Processing Systems. 33. Curran Associates, Inc.: 6840–6851.
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.
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.
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.

nih.gov (Global: 4^th place; English: 4^th place)

pubmed.ncbi.nlm.nih.gov

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.

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

Salimans, Tim; Ho, Jonathan (2021-10-06). Progressive Distillation for Fast Sampling of Diffusion Models. The Tenth International Conference on Learning Representations (ICLR 2022).
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.

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

imagen.research.google

"Imagen: Text-to-Image Diffusion Models". imagen.research.google. Retrieved 2024-04-04.

semanticscholar.org (Global: 11^th place; English: 8^th place)

api.semanticscholar.org

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.

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

openaccess.thecvf.com

Lin, Shanchuan; Liu, Bingchen; Li, Jiashi; Yang, Xiao (2024). Common Diffusion Noise Schedules and Sample Steps Are Flawed. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). pp. 5404–5411.
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.

worldcat.org (Global: 5^th place; English: 5^th place)

search.worldcat.org

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.
Anderson, Brian D.O. (May 1982). "Reverse-time diffusion equation models". Stochastic Processes and Their Applications. 12 (3): 313–326. doi:10.1016/0304-4149(82)90051-5. ISSN 0304-4149.
Cao, Hanqun; Tan, Cheng; Gao, Zhangyang; Xu, Yilun; Chen, Guangyong; Heng, Pheng-Ann; Li, Stan Z. (July 2024). "A Survey on Generative Diffusion Models". IEEE Transactions on Knowledge and Data Engineering. 36 (7): 2814–2830. Bibcode:2024ITKDE..36.2814C. doi:10.1109/TKDE.2024.3361474. ISSN 1041-4347.
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.
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.

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

"Generative Modeling by Estimating Gradients of the Data Distribution | Yang Song". yang-song.net. Retrieved 2023-09-24.
"Sliced Score Matching: A Scalable Approach to Density and Score Estimation | Yang Song". yang-song.net. Retrieved 2023-09-24.

Diffusion model (English Wikipedia)

acm.org (Global: 1,185th place; English: 840th place)

dl.acm.org

arxiv.org (Global: 69th place; English: 59th place)

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doi.org

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github.com (Global: 383rd place; English: 320th place)

harvard.edu (Global: 18th place; English: 17th place)

ui.adsabs.harvard.edu

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: low place)

proceedings.neurips.cc

nih.gov (Global: 4th place; English: 4th place)

pubmed.ncbi.nlm.nih.gov

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

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

imagen.research.google

semanticscholar.org (Global: 11th place; English: 8th place)

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

openaccess.thecvf.com

worldcat.org (Global: 5th place; English: 5th place)

search.worldcat.org

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

acm.org (Global: 1,185^th place; English: 840^th place)

arxiv.org (Global: 69^th place; English: 59^th place)

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

github.com (Global: 383^rd place; English: 320^th place)

harvard.edu (Global: 18^th place; English: 17^th place)

nih.gov (Global: 4^th place; English: 4^th place)

semanticscholar.org (Global: 11^th place; English: 8^th place)

worldcat.org (Global: 5^th place; English: 5^th place)