Hua-Yi Tang

A Supervised U‐Net With Diffusion Prior Regularization for Efficient Seismic Diffraction Separation

Seismic diffraction events contain high‐wavenumber information that is critical for imaging small‐scale discontinuities, yet their weak amplitudes are often obscured by strong reflection energy. Diffusion models offer a powerful framework for diffraction separation, but their iterative reverse‐diffusion sampling is com...