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Denoising diffusion probabilistic models (DDPMs) have achieved high quality image generation without adversarial training, yet they require simulating a Markov chain for many steps to produce a sample.
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A Style-Based generator architecture for generative adversarial networks
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Bias and generalization in deep generative models: An empirical study
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