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Found 3 papers, 2 papers with code
Conditional Variational Diffusion Models
Despite their success, an important drawback of diffusion models is their sensitivity to the choice of variance schedule, which controls the dynamics of the diffusion process.
Phenotype-preserving metric design for high-content image reconstruction by generative inpainting
To address this, here we evaluate the state-of-the-art inpainting methods for image restoration in a high-content fluorescence microscopy dataset of cultured cells with labelled nuclei.
Microscopy image reconstruction with physics-informed denoising diffusion probabilistic model
Yet, deep learning models are prone to introduce artefacts and hallucinations into the reconstruction.
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