wwang-w / GAN_interpLinks
Seismic data interpolation via WGAN
☆16Updated 5 years ago
Alternatives and similar repositories for GAN_interp
Users that are interested in GAN_interp are comparing it to the libraries listed below
Sorting:
- Interpolation of seismic data through Deep Priors☆35Updated last year
- CNN-POCS algorithm for seismic data interpolation☆22Updated 5 years ago
- Repository for the paper "Deep Learning for Simultaneous Seismic Image Super-Resolution and Denoising" (IEEE TGRS)☆83Updated 2 months ago
- ☆38Updated last month
- Seismic Data Interpolation using Convolutional Neural Network☆21Updated 5 years ago
- An application of generative adversarial networks to seismic data processing (resolution ehancement and denoising).☆54Updated last year
- A Matlab package for the damped rank reduction method and its variants.☆14Updated 3 months ago
- Repository for the paper "Adapting the residual dense network for seismic data denoising and upscaling"☆14Updated last year
- ☆13Updated last year
- This repo contains a PyTorch implementation with DeepWave for the manuscript FWIGAN: Full-waveform inversion via a physics-informed gener…☆51Updated 2 years ago
- Seismic Data Reconstruction Using U-Net☆20Updated 2 years ago
- An unsupervised learning framework for 2D/3D seismic random noise attenuation☆13Updated 10 months ago
- ☆22Updated 2 years ago
- this is the code implementation of “Seismic Data Reconstruction Based On Conditional Constraint Diffusion Model”☆22Updated last year
- This repo shows two CNNs (WaveNet and Conditional Encoder-Decoder, CED) for seismic modeling and inversion.☆21Updated 4 years ago
- python tools for seismic ground-roll (surface wave) simulation☆16Updated 10 months ago
- Swin transformer for simultaneous denoising and interpolation of seismic data☆25Updated last year
- Deep Denoising Autoencoder for Seismic Random Noise Attenuation☆30Updated 3 years ago
- ☆12Updated 6 years ago
- 基于UNet、PatchGan网络的地震叠加数据去噪方法-tensorflow、Pytorch实现☆20Updated 3 years ago
- Codes and data for a manuscript in Interpretation Journal, Aug 2019☆18Updated 5 years ago
- this is the code implementation of "SeisFusion: Constrained Diffusion Model with Input Guidance for 3D Seismic Data Interpolation and Rec…☆13Updated 9 months ago
- Semi-supervised Impedance Inversion by Bayesian Neural Network Based on 2-d CNN Pre-training☆18Updated 3 years ago
- According to Building realistic structure models to train convolutional neural networks for seismic structural interpretation☆10Updated last year
- A python toolbox for generating seismic training samples, integrated with pytorch☆58Updated 5 years ago
- FWIGAN: Full-Waveform Inversion with Deep Adversarial Learning☆31Updated 3 years ago
- Matlab research tools to read, write and process seismic data☆93Updated 4 months ago
- Using convolutional autoencoders to remove random noise from seismic data.☆17Updated 4 years ago
- A bag of Marchenko algorithms implemented on top of PyLops☆23Updated last year
- ☆17Updated last year