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Diffusion models (DMs) have been adopted across diverse fields with its remarkable abilities in capturing intricate data distributions.
A stochastic approximation method
Herbert Robbins and Sutton Monro · 1951
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Some methods of speeding up the convergence of iteration methods
Boris T Polyak · 1964
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An Introduction to Numerical Analysis
Kendall Atkinson · 1991
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Learning multiple layers of features from tiny images
Alex Krizhevsky · 2009
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Classical Mechanics: From Newton to Einstein: A Modern Introduction
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
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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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Linearly convergent stochastic heavy ball method for minimizing generalization error
Nicolas Loizou and Peter Richtárik · 2017
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Generative modeling by estimating gradients of the data distribution
Yang Song and Stefano Ermon · 2019
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A style-based generator architecture for generative adversarial networks
Tero Karras, Samuli Laine, and Timo Aila · 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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Wavegrad: Estimating gradients for waveform generation
Nanxin Chen, Yu Zhang, Heiga Zen, Ron J Weiss, Mohammad Norouzi, and William Chan · 2020
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Improved techniques for training score-based generative models
Yang Song and Stefano Ermon · 2020
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Stargan v2: Diverse image synthesis for multiple domains
Yunjey Choi, Youngjung Uh, Jaejun Yoo, and Jung-Woo Ha · 2020
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Diffusion models beat gans on image synthesis
Prafulla Dhariwal and Alexander Nichol · 2021
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Improved denoising diffusion probabilistic models
Alexander Quinn Nichol and Prafulla Dhariwal · 2021
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Almost sure convergence rates for stochastic gradient descent and stochastic heavy ball
Othmane Sebbouh, Robert M Gower, and Aaron Defazio · 2021
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Symbolic music generation with diffusion models
Gautam Mittal, Jesse Engel, Curtis Hawthorne, and Ian Simon · 2021
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Score-based generative modeling with critically-damped langevin diffusion
On the fast convergence of minibatch heavy ball momentum
Raghu Bollapragada, Tyler Chen, and Rachel Ward · 2022
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Hierarchical text-conditional image generation with clip latents
Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, Casey Chu, and Mark Chen · 2022
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Vector quantized diffusion model for text-to-image synthesis
Shuyang Gu, Dong Chen, Jianmin Bao, Fang Wen, Bo Zhang, Dongdong Chen, Lu Yuan, and Baining Guo · 2022
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Repaint: Inpainting using denoising diffusion probabilistic models
Andreas Lugmayr, Martin Danelljan, Andres Romero, Fisher Yu, Radu Timofte, and Luc Van Gool · 2022
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On distillation of guided diffusion models
Chenlin Meng, Ruiqi Gao, Diederik P Kingma, Stefano Ermon, Jonathan Ho, and Tim Salimans · 2022
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Tim Dockhorn, Arash Vahdat, and Karsten Kreis · 2021
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Score-based generative modeling in latent space
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Pseudo numerical methods for diffusion models on manifolds
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Elucidating the design space of diffusion-based generative models
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Diffusion models: A comprehensive survey of methods and applications
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High-resolution image synthesis with latent diffusion models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022
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Pyramidal denoising diffusion probabilistic models
Dohoon Ryu and Jong Chul Ye · 2022
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Flow matching for generative modeling
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gDDIM: Generalized denoising diffusion implicit models
Qinsheng Zhang, Molei Tao, and Yongxin Chen · 2022
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Text2video-zero: Text-to-image diffusion models are zero-shot video generators
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Efficient diffusion training via min-snr weighting strategy
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Yang Song, Prafulla Dhariwal, Mark Chen, and Ilya Sutskever · 2023
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Masked diffusion transformer is a strong image synthesizer
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Image generation with shortest path diffusion
Ayan Das, Stathi Fotiadis, Anil Batra, Farhang Nabiei, FengTing Liao, Sattar Vakili, Da-shan Shiu, and Alberto Bernacchia · 2023
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Generative diffusions in augmented spaces: A complete recipe
Kushagra Pandey and Stephan Mandt · 2023
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