扩散模型 (Chinese Wikipedia)
Analysis of information sources in references of the Wikipedia article "扩散模型" in Chinese language version.
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Chinese rank
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1st place
arxiv.org (Global: 69th place; Chinese: 254th place)
- Ho, Jonathan; Jain, Ajay; Abbeel, Pieter. Denoising Diffusion Probabilistic Models. 2020-06-19. arXiv:2006.11239
. - Song, Yang; Sohl-Dickstein, Jascha; Kingma, Diederik P.; Kumar, Abhishek; Ermon, Stefano; Poole, Ben. Score-Based Generative Modeling through Stochastic Differential Equations. 2021-02-10. arXiv:2011.13456 [cs.LG].
- Gu, Shuyang; Chen, Dong; Bao, Jianmin; Wen, Fang; Zhang, Bo; Chen, Dongdong; Yuan, Lu; Guo, Baining. Vector Quantized Diffusion Model for Text-to-Image Synthesis. 2021. arXiv:2111.14822 [cs.CV].
- Croitoru, Florinel-Alin; Hondru, Vlad; Ionescu, Radu Tudor; Shah, Mubarak. Diffusion models in vision: A survey. 2022. arXiv:2209.04747 [cs.CV].
- Ramesh, Aditya; Dhariwal, Prafulla; Nichol, Alex; Chu, Casey; Chen, Mark. Hierarchical Text-Conditional Image Generation with CLIP Latents. 2022. arXiv:2204.06125 [cs.CV].
- Dhariwal, Prafulla; Nichol, Alex. Diffusion Models Beat GANs on Image Synthesis. 2021-06-01. arXiv:2105.05233 [cs.LG].
- Ho, Jonathan; Salimans, Tim. Classifier-Free Diffusion Guidance. 2022-07-25. arXiv:2207.12598 [cs.LG].
- Nichol, Alex; Dhariwal, Prafulla; Ramesh, Aditya; Shyam, Pranav; Mishkin, Pamela; McGrew, Bob; Sutskever, Ilya; Chen, Mark. GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models. 2022-03-08. arXiv:2112.10741 [cs.CV].
- Ramesh, Aditya; Dhariwal, Prafulla; Nichol, Alex; Chu, Casey; Chen, Mark. Hierarchical Text-Conditional Image Generation with CLIP Latents. 2022-04-12. arXiv:2204.06125 [cs.CV].
- Saharia, Chitwan; Chan, William; Saxena, Saurabh; Li, Lala; Whang, Jay; Denton, Emily; Ghasemipour, Seyed Kamyar Seyed; Ayan, Burcu Karagol; Mahdavi, S. Sara; Lopes, Rapha Gontijo; Salimans, Tim; Ho, Jonathan; Fleet, David J.; Norouzi, Mohammad. Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding. 2022-05-23. arXiv:2205.11487 [cs.CV].
mlr.press (Global: low place; Chinese: low place)
proceedings.mlr.press
- Sohl-Dickstein, Jascha; Weiss, Eric; Maheswaranathan, Niru; Ganguli, Surya. Deep Unsupervised Learning using Nonequilibrium Thermodynamics (PDF). Proceedings of the 32nd International Conference on Machine Learning (PMLR). 2015-06-01, 37: 2256–2265 [2023-02-24]. （原始内容存档 (PDF)于2023-04-05） （英语）.
web.archive.org (Global: 1st place; Chinese: 1st place)
- Sohl-Dickstein, Jascha; Weiss, Eric; Maheswaranathan, Niru; Ganguli, Surya. Deep Unsupervised Learning using Nonequilibrium Thermodynamics (PDF). Proceedings of the 32nd International Conference on Machine Learning (PMLR). 2015-06-01, 37: 2256–2265 [2023-02-24]. （原始内容存档 (PDF)于2023-04-05） （英语）.