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projects/GFI-framework/index.html

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@@ -70,12 +70,11 @@ <h2 style="text-align: center;">ICLR 2025</h2>
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<div class="gfi_framework">
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<figure>
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<img src="./static/images/GFI_Framework.png" alt="GFI Framework" loading="lazy" width=25%>
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<figcaption> Figure 1: A unified framework for solving forward and inverse problems in subsurface imaging. </figcaption>
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</figure>
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</div>
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<figure>
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<img src="./static/images/GFI_Framework.png" alt="GFI Framework" loading="lazy" width=25%>
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<figcaption> Figure 1: A unified framework for solving forward and inverse problems in subsurface imaging. </figcaption>
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</figure>
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<!-- Abstract -->
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<h2 class="banded"> Abstract </h2>
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We show that our proposed models achieve state-of-the-art performance for forward and inverse problems on a wide range of synthetic datasets and also investigate their zero-shot effectiveness on two real-world-like datasets.
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</p>
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<!-- Moethod Overview -->
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<h2 class="banded">Method Overview</h2>
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<p style="text-align:justify;">
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We propose Generalized Forward-Inverse (GFI) framework based on two assumptions. First, according to the manifold assumption, we assume that the velocity maps v ∈ v&#119985; and seismic
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<!-- Results Table Placeholder -->
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<!-- Experiments -->
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<section class="section">
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<div class="container is-max-desktop">
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<h2 class="title is-3">Experiments</h2>

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