most citedDeep generative models in inversion: a review and development of a new approach based on a variational autoencoder

90 citations · 90 across the 1 of their papers we have counts for

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1 paper

physics.geo-ph2020★ 90 cited

Deep generative models in inversion: a review and development of a new approach based on a variational autoencoder

Jorge Lopez-Alvis, Eric Laloy, Frédéric Nguyen +1

When solving inverse problems in geophysical imaging, deep generative models (DGMs) may be used to enforce the solution to display highly structured spatial patterns which are supp…