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Generated images of score-based models can suffer from errors in their spatial means, an effect, referred to as a color shift, which grows for larger images.
Reverse-time diffusion equation models
Brian D.O. Anderson · 1982
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A Connection Between Score Matching and Denoising Autoencoders
Pascal Vincent · 2011
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
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U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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Fashion-mnist: a novel image dataset for benchmarking machine learning algorithms
Han Xiao, Kashif Rasul, and Roland Vollgraf · 2017
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Non-local neural networks
Xiaolong Wang, Ross Girshick, Abhinav Gupta, and Kaiming He · 2018
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Denoising Diffusion Probabilistic Models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
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Improved Techniques for Training Score-Based Generative Models
Yang Song and Stefano Ermon · 2020
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Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains
Matthew Tancik, Pratul P. Srinivasan, Ben Mildenhall, Sara Fridovich-Keil, Nithin Raghavan, Utkarsh Singhal, Ravi Ramamoorthi, Jonathan T. Barron, and Ren Ng · 2020
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Diffusion Models Beat GANs on Image Synthesis
Prafulla Dhariwal and Alex Nichol · 2021
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DiffWave: A Versatile Diffusion Model for Audio Synthesis, 2021
Zhifeng Kong, Wei Ping, Jiaji Huang, Kexin Zhao, and Bryan Catanzaro · 2021
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Palette: Image-to-Image Diffusion Models
Chitwan Saharia, William Chan, Huiwen Chang, Chris A Lee, Jonathan Ho, Tim Salimans, David J Fleet, and Mohammad Norouzi · 2021
Score-based generative modeling through stochastic differential equations
Yang Song, Jascha Sohl-Dickstein, Diederik P Kingma, Abhishek Kumar, Stefano Ermon, and Ben Poole · 2021
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Perception Prioritized Training of Diffusion Models
J. Choi, J. Lee, C. Shin, S. Kim, H. Kim, and S. Yoon · 2022
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Bi-Noising Diffusion: Towards Conditional Diffusion Models with Generative Restoration Priors, 2022
Kangfu Mei, Nithin Gopalakrishnan Nair, and Vishal M Patel · 2022
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Progressive Distillation for Fast Sampling of Diffusion Models
Tim Salimans and Jonathan Ho · 2022
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Unpaired Downscaling of Fluid Flows with Diffusion Bridges
Tobias Bischoff and Katherine Deck · 2023
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Exploiting diffusion prior for real-world image super-resolution, 2023
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Imagen Video: High Definition Video Generation with Diffusion Models, 2022a
Jonathan Ho, William Chan, Chitwan Saharia, Jay Whang, Ruiqi Gao, Alexey Gritsenko, Diederik P. Kingma, Ben Poole, Mohammad Norouzi, David J. Fleet, and Tim Salimans
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Video Diffusion Models
Jonathan Ho, Tim Salimans, Alexey Gritsenko, William Chan, Mohammad Norouzi, and David J Fleet
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Jianyi Wang, Zongsheng Yue, Shangchen Zhou, Kelvin C. K. Chan, and Chen Change Loy · 2023
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