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

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].
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, doi:10.48550/arXiv.2205.09991, retrieved 2024-08-21
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, doi:10.48550/arXiv.2303.04137, retrieved 2024-08-21
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].
Ho, Jonathan; Salimans, Tim (2022-07-25). "Classifier-Free Diffusion Guidance". arXiv:2207.12598 [cs.LG].
Dhariwal, Prafulla; Nichol, Alex (2021-06-01). "Diffusion Models Beat GANs on Image Synthesis". arXiv:2105.05233 [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, doi:10.48550/arXiv.2406.08070, retrieved 2024-09-10
Sanchez, Guillaume; Fan, Honglu; Spangher, Alexander; Levi, Elad; Ammanamanchi, Pawan Sasanka; Biderman, Stella (2023-06-30), Stay on topic with Classifier-Free Guidance, doi:10.48550/arXiv.2306.17806, retrieved 2024-09-17
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, doi:10.48550/arXiv.2304.04968, retrieved 2024-09-17
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].
Karras, Tero; Aittala, Miika; Aila, Timo; Laine, Samuli (2022). "Elucidating the Design Space of Diffusion-Based Generative Models". arXiv:2206.00364v2 [cs.CV].
Liu, Ziming; Luo, Di; Xu, Yilun; Jaakkola, Tommi; Tegmark, Max (2023-04-05), GenPhys: From Physical Processes to Generative Models, doi:10.48550/arXiv.2304.02637, retrieved 2024-08-20
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
Albergo, Michael S.; Vanden-Eijnden, Eric (2023-03-09), Building Normalizing Flows with Stochastic Interpolants, arXiv:2209.15571
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, doi:10.48550/arXiv.2407.11633, retrieved 2024-07-25
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, doi:10.48550/arXiv.2208.01626, retrieved 2024-08-31
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
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, doi:10.48550/arXiv.2407.17470, retrieved 2024-07-25
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.

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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. 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. 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, doi:10.48550/arXiv.2205.09991, retrieved 2024-08-21
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, doi:10.48550/arXiv.2303.04137, retrieved 2024-08-21
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.
Chung, Hyungjin; Kim, Jeongsol; Park, Geon Yeong; Nam, Hyelin; Ye, Jong Chul (2024-06-12), CFG++: Manifold-constrained Classifier Free Guidance for Diffusion Models, doi:10.48550/arXiv.2406.08070, retrieved 2024-09-10
Sanchez, Guillaume; Fan, Honglu; Spangher, Alexander; Levi, Elad; Ammanamanchi, Pawan Sasanka; Biderman, Stella (2023-06-30), Stay on topic with Classifier-Free Guidance, doi:10.48550/arXiv.2306.17806, retrieved 2024-09-17
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, doi:10.48550/arXiv.2304.04968, retrieved 2024-09-17
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. doi:10.1109/TKDE.2024.3361474. ISSN 1041-4347.
Liu, Ziming; Luo, Di; Xu, Yilun; Jaakkola, Tommi; Tegmark, Max (2023-04-05), GenPhys: From Physical Processes to Generative Models, doi:10.48550/arXiv.2304.02637, retrieved 2024-08-20
Fei, Zhengcong; Fan, Mingyuan; Yu, Changqian; Li, Debang; Huang, Junshi (2024-07-16), Scaling Diffusion Transformers to 16 Billion Parameters, doi:10.48550/arXiv.2407.11633, retrieved 2024-07-25
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, doi:10.48550/arXiv.2208.01626, retrieved 2024-08-31
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, doi:10.48550/arXiv.2407.17470, retrieved 2024-07-25

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. 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.

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nih.gov

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. doi:10.1109/TPAMI.2023.3261988. PMID 37030794. S2CID 252199918.

openreview.net

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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.

thecvf.com

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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

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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.
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. 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. 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.

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