kankur0007
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2DseisvelGenerator

Unconditional Image Generation

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kankur0007 commited on Sep 9, 2024

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 # DDPM Trained on OpenFWI Dataset to Reduce Bias in Synthetic Data
-![image/png](https://cdn-uploads.huggingface.co/production/uploads/66c2344426fef28c3e7fe159/HZFYRSaHSJBHjiwaEynP2.png "F. Wang, X. Huang, and T. Alkhalifah")
-*Figure 1: Wang, Fu, Huang, Xinquan, and Alkhalifah, Tariq*
 **This model is a Diffusion Probabilistic Model (DDPM)** trained on the **OpenFWI** dataset, designed to generate synthetic seismic velocity models with a reduction in bias.
 By generating more diverse seismic velocity fields, this model aims to reduce the bias typically found in synthetic data used in seismic Full Waveform Inversion (FWI)
 and related geophysical tasks. It is intended for research purposes in geophysical exploration, resource extraction, and seismic hazard assessment.

 # DDPM Trained on OpenFWI Dataset to Reduce Bias in Synthetic Data
 **This model is a Diffusion Probabilistic Model (DDPM)** trained on the **OpenFWI** dataset, designed to generate synthetic seismic velocity models with a reduction in bias.
 By generating more diverse seismic velocity fields, this model aims to reduce the bias typically found in synthetic data used in seismic Full Waveform Inversion (FWI)
 and related geophysical tasks. It is intended for research purposes in geophysical exploration, resource extraction, and seismic hazard assessment.