2 papers
physics.geo-ph2026
A Review of Deep-learning-based Seismic Data Denoising and Its Promising Paradigm Shift to Foundation Models
Xintong Dong, Zhengyi Yuan, Changxin Wei +3
Denoising is a long-standing and widely-concerned topic in seismic data processing, for it can significantly increase the signal-to-noise ratio of seismic data. Numerous deep learn…
physics.geo-ph2025
2.5D Transformer: An Efficient 3D Seismic Interpolation Method without Full 3D Training
Changxin Wei, Xintong Dong, Xinyang Wang
Transformer has emerged as a powerful deep-learning technique for two-dimensional (2D) seismic data interpolation, owing to its global modeling ability. However, its core operation…