DiffBCP combines a cumulative shrinkage prior and pre-trained diffusion model prior in Bayesian CP decomposition via a split Gibbs sampler with noise-adaptive coupling, yielding gains on image inpainting and denoising.
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Bayesian Tensor Decomposition with Diffusion Model Prior
DiffBCP combines a cumulative shrinkage prior and pre-trained diffusion model prior in Bayesian CP decomposition via a split Gibbs sampler with noise-adaptive coupling, yielding gains on image inpainting and denoising.