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20212025
most citedInvestigating the robustness of a learning-based method for quantitative phase retrieval from propagation-based x-ray phase contrast measurements under laboratory conditions

6 citations · 6 across the 5 of their papers we have counts for

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2 papers · 1 filter

eess.IV2023

Assessing the capacity of a denoising diffusion probabilistic model to reproduce spatial context

Rucha Deshpande, Muzaffer Özbey, Hua Li +2

Diffusion models have emerged as a popular family of deep generative models (DGMs). In the literature, it has been claimed that one class of diffusion models -- denoising diffusion…

cs.LG2023

AmbientFlow: Invertible generative models from incomplete, noisy measurements

Varun A. Kelkar, Rucha Deshpande, Arindam Banerjee +1

Generative models have gained popularity for their potential applications in imaging science, such as image reconstruction, posterior sampling and data sharing. Flow-based generati…