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06/01/2023
On the Equivalence of Consistency-Type Models: Consistency Models, Consistent Diffusion Models, and Fokker-Planck Regularization
The emergence of various notions of “consistency” in diffusion models ha...
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01/30/2023
Adversarially Slicing Generative Networks: Discriminator Slices Feature for One-Dimensional Optimal Transport
Generative adversarial networks (GANs) learn a target probability distri...
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01/30/2023
GibbsDDRM: A Partially Collapsed Gibbs Sampler for Solving Blind Inverse Problems with Denoising Diffusion Restoration
Pre-trained diffusion models have been successfully used as priors in a ...
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11/08/2022
Unsupervised vocal dereverberation with diffusion-based generative models
Removing reverb from reverberant music is a necessary technique to clean...
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10/27/2022
A Versatile Diffusion-based Generative Refiner for Speech Enhancement
Although deep neural network (DNN)-based speech enhancement (SE) methods...
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10/11/2022
DiffRoll: Diffusion-based Generative Music Transcription with Unsupervised Pretraining Capability
In this paper we propose a novel generative approach, DiffRoll, to tackl...
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10/09/2022
Regularizing Score-based Models with Score Fokker-Planck Equations
Score-based generative models learn a family of noise-conditional score ...
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05/16/2022
SQ-VAE: Variational Bayes on Discrete Representation with Self-annealed Stochastic Quantization
One noted issue of vector-quantized variational autoencoder (VQ-VAE) is ...
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02/17/2021