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Experiments and Results complete.
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@@ -137,11 +137,11 @@ <h2 class="banded">Method Overview</h2>
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<h2 class="banded"> Experiments </h2>
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<p style="text-align:justify;">
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We consider the OpenFWI collection of datasets, comprising multi-structural benchmark datasets for DL4SI grouped into: Vel, Fault, and Style Families. We compare Latent U-Net and Invertible X-Net on these datasets against several baseline methods for both forward and inverse problems.
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For quantitative comparisons, we used Mean Absolute Error (MAE), Mean Square Error (MSE), and Structured Similarity (SSIM) as evaluation metrics since neither metric
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alone is fully comprehensive. MAE captures pixel-level accuracy while SSIM highlights structural similarity.
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<ol>
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<li> <p><b>Quantitative Comparison</b></p>
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<li>
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<p> <b> Quantitative Comparison: </b> We used Mean Absolute Error (MAE), Mean Square Error (MSE), and Structured Similarity (SSIM) as evaluation metrics since neither metric
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alone is fully comprehensive. MAE captures pixel-level accuracy while SSIM highlights structural similarity. </p>
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<div style="display: flex; justify-content: space-around; align-items: flex-start;">
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<figure style="margin: 0 10px;">
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<img src="./static/images/Supervised_Inverse_SSIM_flipped.png" alt="supervised_inverse_ssim" loading="lazy" width=30%>
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<img src="./static/images/Supervised_Forward_SSIM_flipped.png" alt="supervised_forward_ssim" loading="lazy" width=30%>
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<figcaption> (b) Forward problem </figcaption>
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</figure>
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<figcaption style="margin-top: 10px;">
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</div>
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<figcaption style="margin-top: 10px;">
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Figure 4: Comparison of Latent U-Nets (Small and Large), Invertible X-Net, Invertible X-Net (Cycle) with different baseline methods across different OpenFWI datasets.
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</figcaption>
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</figcaption>
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</li>
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<li>
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<p> <b> Qualitative Comparison: </b> We show model prediction on three datasets CVB, CFB, and STA, choosing one from each family of OpenFWI. </p>
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<div style="display: flex; justify-content: space-around; align-items: flex-start;">
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<figure style="margin: 0 10px;">
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<img src="./static/images/qualitative_viz_inverse.png" alt="Qualitative Visualization for Inverse" loading="lazy" width=30%>
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<figcaption> (a) Inverse problem </figcaption>
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</figure>
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<figure style="margin: 0 10px;">
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<img src="./static/images/qualitative_viz_forward.png" alt="Qualitative Visualization for Forward" loading="lazy" width=30%>
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<figcaption> (b) Forward problem </figcaption>
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</figure>
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</div>
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<figcaption style="margin-top: 10px;">
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Figure 5: Visualization of model predictions for inverse and forward problems across different Open-FWI datasets: CVB, CFB, STA.
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</figcaption>
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</li>
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<li><p><b>Qualitative Comparison</b></p></li>
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</ol>
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