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We propose a new approach for generative modeling based on training a neural network to be idempotent.
Mode seeking generative adversarial networks for diverse image synthesis
Qi Mao, Hsin-Ying Lee, Hung-Yu Tseng, Siwei Ma, and Ming-Hsuan Yang · 1903
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A learning algorithm for boltzmann machines
David H. Ackley, Geoffrey E. Hinton, and Terrence J. Sejnowski · 1985
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The mnist database of handwritten digit images for machine learning research
Li Deng · 2012
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Combating mode collapse in GAN training: An empirical analysis using hessian eigenvalues
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Generative adversarial nets
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Deep learning face attributes in the wild
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Image-to-image translation with conditional adversarial networks
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Unpaired image-to-image translation using cycle-consistent adversarial networks
Jun-Yan Zhu, Taesung Park, Phillip Isola, and Alexei A Efros · 2017
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Denoising diffusion probabilistic models
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High-resolution image synthesis with latent diffusion models, 2021
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2021
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Auto-encoding variational bayes, 2022
Diederik P Kingma and Max Welling · 2022
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Alex Graves, Rupesh Kumar Srivastava, Timothy Atkinson, and Faustino Gomez · 2023
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Consistency models
Yang Song, Prafulla Dhariwal, Mark Chen, and Ilya Sutskever · 2023
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Aaron van den Oord, Oriol Vinyals, and koray kavukcuoglu · 2017
Cited alongside, same era.
Pixel recurrent neural networks
Aäron van den Oord, Nal Kalchbrenner, and Koray Kavukcuoglu
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