UB-Diff generates paired velocity maps and seismic waveforms from unbalanced data using a shared latent space plus a two-step training scheme, and reports better FID and downstream inversion scores than prior methods.
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A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset
UB-Diff generates paired velocity maps and seismic waveforms from unbalanced data using a shared latent space plus a two-step training scheme, and reports better FID and downstream inversion scores than prior methods.