VADD augments masked diffusion models with an auxiliary recognition model and variational inference to implicitly model inter-dimensional correlations, yielding higher-quality samples than standard MDMs at low denoising step counts on toy data, images, and text.
As shown in Table 7, V ADD consistently outperforms the continuous diffusion baseline DDPM across all sampling steps on CIFAR-10
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Variational Autoencoding Discrete Diffusion with Enhanced Dimensional Correlations Modeling
VADD augments masked diffusion models with an auxiliary recognition model and variational inference to implicitly model inter-dimensional correlations, yielding higher-quality samples than standard MDMs at low denoising step counts on toy data, images, and text.