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Dmitrii Tarasov
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@@ -143,21 +143,17 @@ <h2 class="title is-3">Abstract</h2>
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<div class="column is-four-fifths">
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<h2 class="title is-3" style="white-space: nowrap;">Reconstruct images from feature space</h2>
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<div class="content has-text-justified">
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<div class="columns is-centered">
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<div class="column is-half">
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<img src="./static/images/features_reconstruction.drawio.png" alt="features_reconstruction" width="100%">
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<p class="caption" style="width: 100%; text-align: center;">
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<b>Figure 1. Image reconstructor training.</b> For pretrained model we train a reconstructor model that
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restores the image from the feature space.
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</p>
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</div>
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<div class="column is-half">
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<img src="./static/images/reconstruction_metrics.jpg" alt="reconstruction_metrics" width="100%">
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<p class="caption" style="width: 100%; text-align: center;">
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<b>Figure 2. Reconstruction Metrics.</b> We show the results of the reconstruction for SigLip and SigLip2
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for different image resultions.
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</p>
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</div>
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<div style="text-align: center;">
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<img src="./static/images/features_reconstruction.drawio.png" alt="features_reconstruction" width="900">
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<p class="caption" style="width: 100%; text-align: center;">
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<b>Figure 1. Image reconstructor training.</b> For pretrained model we train a reconstructor model that
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restores the image from the feature space.
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</p>
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<img src="./static/images/reconstruction_metrics.jpg" alt="reconstruction_metrics" width="900">
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<p class="caption" style="width: 100%; text-align: center;">
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<b>Figure 2. Reconstruction Metrics.</b> We show the results of the reconstruction for SigLip and SigLip2
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for different image resultions.
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</p>
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</div>
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</div>
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<br><br>
@@ -177,21 +173,26 @@ <h2 class="title is-3" style="white-space: nowrap;">Reconstruct images from feat
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<h2 class="title is-3" style="white-space: nowrap;">Feature-space transformations. Q matrix Calculation and
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Application.</h2>
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<div class="content has-text-justified">
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<div style="text-align: center;">
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<img src="./static/images/features_reconstruction_manipulation_train_Q.drawio.png"
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alt="features_reconstruction_manipulation_train_Q" width="900">
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<p class="caption" style="width: 100%; text-align: center;">
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<b>Figure 3. Feature-space transformations. Q matrix Calculation.</b> We then calculate Q matrix for
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feature-space manupulation.
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</p>
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<div class="columns is-centered">
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<div class="column is-half">
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<img src="./static/images/features_reconstruction_manipulation_train_Q.drawio.png"
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alt="features_reconstruction_manipulation_train_Q" width="700">
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<p class="caption" style="width: 100%; text-align: center;">
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<b>Figure 3. Feature-space transformations. Q matrix Calculation.</b> We then calculate Q matrix for
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feature-space manupulation.
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</p>
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</div>
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</div>
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<div style="text-align: center;">
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<img src="./static/images/features_reconstruction_manipulation_eval_Q.drawio.png"
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alt="features_reconstruction_manipulation_eval_Q" width="900">
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<p class="caption" style="width: 100%; text-align: center;">
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<b>Figure 4. Feature-space transformations. Q matrix Application.</b> After Q matrix is calculated, we apply
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it to the feature space. For each patch embedding.
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</p>
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<div class="columns is-centered">
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<div class="column is-half">
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<img src="./static/images/features_reconstruction_manipulation_eval_Q.drawio.png"
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alt="features_reconstruction_manipulation_eval_Q" width="700">
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<p class="caption" style="width: 100%; text-align: center;">
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<b>Figure 4. Feature-space transformations. Q matrix Application.</b> After Q matrix is calculated, we
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apply
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it to the feature space. For each patch embedding.
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</p>
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</div>
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</div>
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</div>
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<br><br>

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