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We show that cascaded diffusion models are capable of generating high fidelity images on the class-conditional ImageNet generation benchmark, without any assistance from auxiliary image classifiers to boost sample quality.
Generative adversarial nets
I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio · 2014
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Auto-encoding variational Bayes
D. P. Kingma and M. Welling · 2014
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Scheduled sampling for sequence prediction with recurrent neural networks
S. Bengio, O. Vinyals, N. Jaitly, and N. Shazeer · 2015
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U-Net: Convolutional networks for biomedical image segmentation
O. Ronneberger, P. Fischer, and T. Brox · 2015
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ImageNet large scale visual recognition challenge
O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh, S. Ma, Z. Huang, A. Karpathy, A. Khosla, M. Bernstein, et al · 2015
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Deep unsupervised learning using nonequilibrium thermodynamics
J. Sohl-Dickstein, E. Weiss, N. Maheswaranathan, and S. Ganguli · 2015
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LSUN: Construction of a large-scale image dataset using deep learning with humans in the loop
F. Yu, Y. Zhang, S. Song, A. Seff, and J. Xiao · 2015
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Sequence level training with recurrent neural networks
M. Ranzato, S. Chopra, M. Auli, and W. Zaremba · 2016
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Improved techniques for training gans
T. Salimans, I. Goodfellow, W. Zaremba, V. Cheung, A. Radford, and X. Chen · 2016
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Density estimation using Real NVP
L. Dinh, J. Sohl-Dickstein, and S. Bengio · 2017
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GANs trained by a two time-scale update rule converge to a local Nash equilibrium
M. Heusel, H. Ramsauer, T. Unterthiner, B. Nessler, and S. Hochreiter · 2017
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PixelCNN++: Improving the PixelCNN with discretized logistic mixture likelihood and other modifications
T. Salimans, A. Karpathy, X. Chen, and D. P. Kingma · 2017
Cited alongside, same era.
Neural discrete representation learning
A. van den Oord, O. Vinyals, and K. Kavukcuoglu · 2017
Cited alongside, same era.
Glow: Generative flow with invertible 1x1 convolutions
D. P. Kingma and P. Dhariwal · 2018
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Large scale GAN training for high fidelity natural image synthesis
A. Brock, J. Donahue, and K. Simonyan · 2019
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Hierarchical autoregressive image models with auxiliary decoders
J. De Fauw, S. Dieleman, and K. Simonyan · 2019
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Flow++: Improving flow-based generative models with variational dequantization and architecture design
Logan: Latent optimisation for generative adversarial networks
Y. Wu, J. Donahue, D. Balduzzi, K. Simonyan, and T. Lillicrap · 2019
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Denoising diffusion probabilistic models
J. Ho, A. Jain, and P. Abbeel · 2020
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Improved techniques for training score-based generative
Y. Song and S. Ermon · 2020
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WaveGrad: Estimating gradients for waveform generation
N. Chen, Y. Zhang, H. Zen, R. J. Weiss, M. Norouzi, and W. Chan · 2021
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Diffusion models beat gans on image synthesis
P. Dhariwal and A. Nichol · 2021
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Learning energy-based models by diffusion recovery likelihood
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J. Ho, X. Chen, A. Srinivas, Y. Duan, and P. Abbeel · 2019
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Generating high fidelity images with subscale pixel networks and multidimensional upscaling
J. Menick and N. Kalchbrenner · 2019
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Classification Accuracy Score for Conditional Generative Models
S. Ravuri and O. Vinyals · 2019
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Generating diverse high-fidelity images with VQ-VAE-2
A. Razavi, A. van den Oord, and O. Vinyals · 2019
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Generative modeling by estimating gradients of the data distribution
Y. Song and S. Ermon · 2019
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Denoising diffusion implicit models
J. Song, C. Meng, and S. Ermon
Cited in the paper.
Score-based generative modeling through stochastic differential equations
Y. Song, J. Sohl-Dickstein, D. P. Kingma, A. Kumar, S. Ermon, and B. Poole
Cited in the paper.
R. Gao, Y. Song, B. Poole, Y. N. Wu, and D. P. Kingma · 2021
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Adversarial score matching and improved sampling for image generation
A. Jolicoeur-Martineau, R. Piché-Taillefer, R. T. d. Combes, and I. Mitliagkas · 2021
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DiffWave: A Versatile Diffusion Model for Audio Synthesis
Z. Kong, W. Ping, J. Huang, K. Zhao, and B. Catanzaro · 2021
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Improved denoising diffusion probabilistic models
A. Nichol and P. Dhariwal · 2021
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Image super-resolution via iterative refinement
C. Saharia, J. Ho, W. Chan, T. Salimans, D. J. Fleet, and M. Norouzi · 2021
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