May 14, 2024, 4:44 a.m. | Yinan Feng, Yinpeng Chen, Peng Jin, Shihang Feng, Zicheng Liu, Youzuo Lin

cs.LG updates on

arXiv:2305.13314v2 Announce Type: replace-cross
Abstract: Subsurface imaging involves solving full waveform inversion (FWI) to predict geophysical properties from measurements. This problem can be reframed as an image-to-image translation, with the usual approach being to train an encoder-decoder network using paired data from two domains: geophysical property and measurement. A recent seminal work (InvLINT) demonstrates there is only a linear mapping between the latent spaces of the two domains, and the decoder requires paired data for training.
This paper extends this …

abstract arxiv auto cs.lg data decoder domains eess.sp encoder encoder-decoder image image-to-image image-to-image translation imaging linear measurement network physics.geo-ph property replace train translation type work

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