Papers with Code 아카이브
Seismic Imaging
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Good Things Come in Pairs: Paired Autoencoders for Inverse Problems
Noisier2Inverse: Self-Supervised Learning for Image Reconstruction with Correlated Noise
Data-Driven and Theory-Guided Pseudo-Spectral Seismic Imaging Using Deep Neural Network Architectures
Synergizing Deep Learning and Full-Waveform Inversion: Bridging Data-Driven and Theory-Guided Approaches for Enhanced Seismic Imaging
Advancing Geological Carbon Storage Monitoring With 3d Digital Shadow Technology
Enhancing Robustness Of Digital Shadow For CO2 Storage Monitoring With Augmented Rock Physics Modeling
Probabilistic Joint Recovery Method for CO$_2$ Plume Monitoring
A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset
Fully invertible hyperbolic neural networks for segmenting large-scale surface and sub-surface data
Stochastic full waveform inversion with deep generative prior for uncertainty quantification
Integrating Physics of the Problem into Data-Driven Methods to Enhance Elastic Full-Waveform Inversion with Uncertainty Quantification
InvertibleNetworks.jl: A Julia package for scalable normalizing flows
IntraSeismic: a coordinate-based learning approach to seismic inversion
Absorption-Constrained Wavelet Power Spectrum Inversion for Robust Q Extraction From VSP Data
Three-Dimensional Ultrasound Matrix Imaging
An Analysis of Physics-Informed Neural Networks
De-risking Carbon Capture and Sequestration with Explainable CO2 Leakage Detection in Time-lapse Seismic Monitoring Images
De-risking geological carbon storage from high resolution time-lapse seismic to explainable leakage detection
Solving Seismic Wave Equations on Variable Velocity Models with Fourier Neural Operator
TunaOil: A Tuning Algorithm Strategy for Reservoir Simulation Workloads
Reliable amortized variational inference with physics-based latent distribution correction
Velocity continuation with Fourier neural operators for accelerated uncertainty quantification
Salt Detection Using Segmentation of Seismic Image
A novel attention model for salient structure detection in seismic volumes
Deep Bayesian inference for seismic imaging with tasks
Making Invisible Visible: Data-Driven Seismic Inversion with Spatio-temporally Constrained Data Augmentation
Connect the Dots: In Situ 4D Seismic Monitoring of CO2 Storage with Spatio-temporal CNNs
Learning by example: fast reliability-aware seismic imaging with normalizing flows
Distortion matrix approach for ultrasound imaging of random scattering media
Uncertainty quantification in imaging and automatic horizon tracking: a Bayesian deep-prior based approach
Demixing Sines and Spikes Using Multiple Measurement Vectors
A deep-learning based Bayesian approach to seismic imaging and uncertainty quantification
Solving Inverse Wave Scattering with Deep Learning
Enhancement of seismic imaging: An innovative deep learning approach
Enhanced Seismic Imaging with Predictive Neural Networks for Geophysics
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.