Papers with Code 아카이브
Seismic Inversion
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Geophysical inverse problems with measurement-guided diffusion models
Uncertainty Quantification in Seismic Inversion Through Integrated Importance Sampling and Ensemble Methods
OrthoSeisnet: Seismic Inversion through Orthogonal Multi-scale Frequency Domain U-Net for Geophysical Exploration
IntraSeismic: a coordinate-based learning approach to seismic inversion
Deep Compressed Learning for 3D Seismic Inversion
Physics-informed neural network for seismic wave inversion in layered semi-infinite domain
ContrasInver: Ultra-Sparse Label Semi-supervised Regression for Multi-dimensional Seismic Inversion
Posterior sampling with CNN-based, Plug-and-Play regularization with applications to Post-Stack Seismic Inversion
Enhanced prediction accuracy with uncertainty quantification in monitoring CO2 sequestration using convolutional neural networks
Wave simulation in non-smooth media by PINN with quadratic neural network and PML condition
Encoder-Decoder Architecture for 3D Seismic Inversion
Convolutional Sparse Coding Fast Approximation with Application to Seismic Reflectivity Estimation
Making Invisible Visible: Data-Driven Seismic Inversion with Spatio-temporally Constrained Data Augmentation
Seismic Inverse Modeling Method based on Generative Adversarial Network
A Deep Learning-Accelerated Data Assimilation and Forecasting Workflow for Commercial-Scale Geologic Carbon Storage
Spatiotemporal Modeling of Seismic Images for Acoustic Impedance Estimation
Scaling through abstractions -- high-performance vectorial wave simulations for seismic inversion with Devito
Semi-supervised Sequence Modeling for Elastic Impedance Inversion
Estimation of Acoustic Impedance from Seismic Data using Temporal Convolutional Network
Deep-Learning Inversion of Seismic Data
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.