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@@ -196,7 +196,7 @@ <h2 class="title is-3">Method</h2>
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<p>
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<b>Shared Mapping is the key to bridge generation and understanding ability in one tokenizer for AR model.</b>
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We incorporate dual encoders and codebooks with a shared mapping, enabling the joint optimization of high-level
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semantics and low-level pixel details. For a given input image, distances are calculated from the pixel-level land semantic-level codebooks,
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semantics and low-level pixel details. For a given input image, distances are calculated from the pixel-level and semantic-level codebooks,
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respectively, with the final codebook index and features determined by minimizing the weighted sum distance.
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The resulting quantized features are independently decoded for both semantic alignment and image reconstruction training,
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and then concatenated to provide a unified representation for downstream tasks in understanding and generation.

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