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Diffusion models have become a popular approach for image generation and reconstruction due to their numerous advantages.
Reverse-time diffusion equation models
Brian DO Anderson · 1982
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White matter changes on ct and mri: an overview of visual rating scales
Philip Scheltens, Timo Erkinjunti, Didier Leys, Lars-Olaf Wahlund, Domenico Inzitari, Theodoro del Ser, Florence Pasquier, Frederik Barkhof, Riita Mäntylä, John Bowler, et al · 1998
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Image quality assessment: from error visibility to structural similarity
Zhou Wang, Alan C Bovik, Hamid R Sheikh, and Eero P Simoncelli · 2004
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Sparse mri: The application of compressed sensing for rapid mr imaging
Michael Lustig, David Donoho, and John M Pauly · 2007
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Tweedie’s formula and selection bias
Bradley Efron · 2011
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A connection between score matching and denoising autoencoders
Pascal Vincent · 2011
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Low-rank matrix factorization for deep neural network training with high-dimensional output targets
Tara N Sainath, Brian Kingsbury, Vikas Sindhwani, Ebru Arisoy, and Bhuvana Ramabhadran · 2013
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Large-scale evaluation of ants and freesurfer cortical thickness measurements
Nicholas J Tustison, Philip A Cook, Arno Klein, Gang Song, Sandhitsu R Das, Jeffrey T Duda, Benjamin M Kandel, Niels van Strien, James R Stone, James C Gee, et al · 2014
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Using visual rating to diagnose dementia: a critical evaluation of mri atrophy scales
Lorna Harper, Frederik Barkhof, Nick C Fox, and Jonathan M Schott · 2015
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U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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Deep unsupervised learning using nonequilibrium thermodynamics
Jascha Sohl-Dickstein, Eric Weiss, Niru Maheswaranathan, and Surya Ganguli · 2015
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Deepfm: A factorization-machine based neural network for ctr prediction
Huifeng Guo, Ruiming Tang, Yunming Ye, Zhenguo Li, and Xiuqiang He · 2017
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Deep convolutional neural network for inverse problems in imaging
Kyong Hwan Jin, Michael T McCann, Emmanuel Froustey, and Michael Unser · 2017
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Low-dose ct for the detection and classification of metastatic liver lesions: results of the 2016 low dose ct grand challenge
Cynthia H McCollough, Adam C Bartley, Rickey E Carter, Baiyu Chen, Tammy A Drees, Phillip Edwards, David R Holmes III, Alice E Huang, Farhana Khan, Shuai Leng, et al · 2017
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Generative modeling by estimating gradients of the data distribution
Yang Song and Stefano Ermon · 2019
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Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
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Diffwave: A versatile diffusion model for audio synthesis
Zhifeng Kong, Wei Ping, Jiaji Huang, Kexin Zhao, and Bryan Catanzaro · 2020
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Dudornet: learning a dual-domain recurrent network for fast mri reconstruction with deep t1 prior
Bo Zhou and S Kevin Zhou · 2020
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Diffusion models beat gans on image synthesis
Prafulla Dhariwal and Alexander Nichol · 2021
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Fastnerf: High-fidelity neural rendering at 200fps
Stephan J. Garbin, Marek Kowalski, Matthew Johnson, Jamie Shotton, and Julien Valentin · 2021
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Classifier-free diffusion guidance
Jonathan Ho and Tim Salimans · 2021
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Noise2score: tweedie’s approach to self-supervised image denoising without clean images
Photorealistic text-to-image diffusion models with deep language understanding
Chitwan Saharia, William Chan, Saurabh Saxena, Lala Li, Jay Whang, Emily L Denton, Kamyar Ghasemipour, Raphael Gontijo Lopes, Burcu Karagol Ayan, Tim Salimans, et al · 2022
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Make-a-video: Text-to-video generation without text-video data
Uriel Singer, Adam Polyak, Thomas Hayes, Xi Yin, Jie An, Songyang Zhang, Qiyuan Hu, Harry Yang, Oron Ashual, Oran Gafni, et al · 2022
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Solving inverse problems in medical imaging with score-based generative models
Yang Song, Liyue Shen, Lei Xing, and Stefano Ermon · 2022
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Digress: Discrete denoising diffusion for graph generation
Clement Vignac, Igor Krawczuk, Antoine Siraudin, Bohan Wang, Volkan Cevher, and Pascal Frossard · 2022
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Align your latents: High-resolution video synthesis with latent diffusion models
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Kwanyoung Kim and Jong Chul Ye · 2021
Cited alongside, same era.
Grad-tts: A diffusion probabilistic model for text-to-speech
Vadim Popov, Ivan Vovk, Vladimir Gogoryan, Tasnima Sadekova, and Mikhail Kudinov · 2021
Cited alongside, same era.
Score-based generative modeling through stochastic differential equations
Yang Song, Jascha Sohl-Dickstein, Diederik P Kingma, Abhishek Kumar, Stefano Ermon, and Ben Poole · 2021
Cited alongside, same era.
Improving diffusion models for inverse problems using manifold constraints
Hyungjin Chung, Byeongsu Sim, Dohoon Ryu, and Jong Chul Ye · 2022
Cited alongside, same era.
Score-based diffusion models for accelerated mri
Hyungjin Chung and Jong Chul Ye · 2022
Cited alongside, same era.
Surface vision transformers: Attention-based modelling applied to cortical analysis
Simon Dahan, Abdulah Fawaz, Logan ZJ Williams, Chunhui Yang, Timothy S Coalson, Matthew F Glasser, A David Edwards, Daniel Rueckert, and Emma C Robinson · 2022
Cited alongside, same era.
Graphgdp: Generative diffusion processes for permutation invariant graph generation
Han Huang, Leilei Sun, Bowen Du, Yanjie Fu, and Weifeng Lv · 2022
Cited alongside, same era.
Andreas Blattmann, Robin Rombach, Huan Ling, Tim Dockhorn, Seung Wook Kim, Sanja Fidler, and Karsten Kreis · 2023
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Seeing beyond the brain: Conditional diffusion model with sparse masked modeling for vision decoding
Zijiao Chen, Jiaxin Qing, Tiange Xiang, Wan Lin Yue, and Juan Helen Zhou · 2023
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Parallel diffusion models of operator and image for blind inverse problems
Hyungjin Chung, Jeongsol Kim, Sehui Kim, and Jong Chul Ye · 2023
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Diffusion posterior sampling for general noisy inverse problems
Hyungjin Chung, Jeongsol Kim, Michael Thompson Mccann, Marc Louis Klasky, and Jong Chul Ye · 2023
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Solving 3d inverse problems using pre-trained 2d diffusion models
Hyungjin Chung, Dohoon Ryu, Michael T Mccann, Marc L Klasky, and Jong Chul Ye · 2023
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Sparse-view cone beam ct reconstruction using data-consistent supervised and adversarial learning from scarce training data
Anish Lahiri, Gabriel Maliakal, Marc L Klasky, Jeffrey A Fessler, and Saiprasad Ravishankar · 2023
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Dreamix: Video diffusion models are general video editors
Eyal Molad, Eliahu Horwitz, Dani Valevski, Alex Rav Acha, Yossi Matias, Yael Pritch, Yaniv Leviathan, and Yedid Hoshen · 2023
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Diffrf: Rendering-guided 3d radiance field diffusion
Norman Müller, Yawar Siddiqui, Lorenzo Porzi, Samuel Rota Bulo, Peter Kontschieder, and Matthias Nießner · 2023
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3d neural field generation using triplane diffusion
J Ryan Shue, Eric Ryan Chan, Ryan Po, Zachary Ankner, Jiajun Wu, and Gordon Wetzstein · 2023
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High-resolution image reconstruction with latent diffusion models from human brain activity
Yu Takagi and Shinji Nishimoto · 2023
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Zero-shot image restoration using denoising diffusion null-space model
Yinhuai Wang, Jiwen Yu, and Jian Zhang · 2023
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