Structure-aware Bayesian full waveform inversion via diffusion-regularized Stein variational gradient descent

Full waveform inversion (FWI) is a powerful tool for high-resolution subsurface model reconstruction, but it remains highly nonlinear and ill-posed, especially when the initial model is inaccurate or the acquired data are noisy and incomplete.