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Denoising Diffusion Probabilistic Models (DDPMs) can generate high-quality samples such as image and audio samples.
Generative Modeling by Estimating Gradients of the Data Distribution
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Deep Unsupervised Learning using Nonequilibrium Thermodynamics
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LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop
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Numerical Analysis
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Denoising diffusion probabilistic models
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DiffWave: A Versatile Diffusion Model for Audio Synthesis
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Bilateral Denoising Diffusion Models
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Diffsinger: Singing voice synthesis via shallow diffusion mechanism
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Diffusion Probabilistic Models for 3D Point Cloud Generation
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Denoising Diffusion Implicit Models
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Score-Based Generative Modeling through Stochastic Differential Equations
Yang Song, Jascha Sohl-Dickstein, Diederik P. Kingma, Abhishek Kumar, Stefano Ermon, and Ben Poole
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Score-based Generative Modeling in Latent Space
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Progressive distillation for fast sampling of diffusion models
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