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Denoising Diffusion Restoration ModelsBahjat Kawar, Michael Elad, Stefano Ermon, Jiaming SongarXiv 2022. Paper  2022-01-272022-01-27
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DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional LatentsKushagra Pandey, Avideep Mukherjee, Piyush Rai, Abhishek Kumar2022-01-022022-01-02
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High-Resolution Image Synthesis with Latent Diffusion ModelsRobin Rombach1, Andreas Blattmann1, Dominik Lorenz, Patrick Esser, Björn Ommer2021-12-202021-12-20
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Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems through Stochastic ContractionHyungjin Chung, Byeongsu Sim, Jong Chul YearXiv 2021. Paper  2021-12-092021-12-09
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Conditional Image Generation with Score-Based Diffusion ModelsGeorgios Batzolis, Jan Stanczuk, Carola-Bibiane Schönlieb, Christian EtmannarXiv 2021. Paper  2021-11-262021-11-26
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S3RP: Self-Supervised Super-Resolution and Prediction for Advection-Diffusion ProcessChulin Wang, Kyongmin Yeo, Xiao Jin, Andres Codas, Levente J. Klein, Bruce ElmegreenarXiv 2021. Paper  2021-11-082021-11-08
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Autoregressive Diffusion ModelsEmiel Hoogeboom, Alexey A. Gritsenko, Jasmijn Bastings, Ben Poole, Rianne van den Berg, Tim SalimansarXiv 2021. Paper  2021-10-052021-10-05
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ILVR: Conditioning Method for Denoising Diffusion Probabilistic ModelsJooyoung Choi, Sungwon Kim, Yonghyun Jeong, Youngjune Gwon, Sungroh Yoon2021-08-062021-08-06
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Cascaded Diffusion Models for High Fidelity Image Generation*Jonathan Ho1, Chitwan Saharia1, William Chan, David J. Fleet, Mohammad Norouzi, Tim Salimans2021-05-302021-05-30
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SRDiff: Single Image Super-Resolution with Diffusion Probabilistic ModelsHaoying Li, Yifan Yang, Meng Chang, Huajun Feng, Zhihai Xu, Qi Li, Yueting ChenarXiv 2021. Paper  2021-04-302021-04-30
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Image Super-Resolution via Iterative Refinement*Chitwan Saharia, Jonathan Ho, William Chan, Tim Salimans, David J. Fleet, Mohammad Norouzi2021-04-152021-04-15
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