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README.md
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@@ -104,6 +104,36 @@ We evaluated this checkpoint in the Imgsys public benchmark. MaPO was able to ou
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<img src="https://mapo-t2i.github.io/static/images/imgsys.png" width=750/>
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</div>
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## Inference
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<img src="https://mapo-t2i.github.io/static/images/imgsys.png" width=750/>
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</div>
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The table below reports memory efficiency of MaPO, making it a better alternative for alignment fine-tuning of diffusion models:
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<table>
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<caption>Computational costs of Diffusion-DPO and MaPO</caption>
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<thead>
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<tr>
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<th></th>
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<th>Diffusion-DPO</th>
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<th>MaPO <span class="ours">(Ours)</span></th>
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</tr>
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</thead>
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<tbody>
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<tr>
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<td>Time (↓)</td>
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<td>63.5</td>
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<td>54.3 (-14.5%)</td>
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</tr>
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<tr>
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<td>GPU Mem. (↓)</td>
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<td>55.9</td>
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<td>46.1 (-17.5%)</td>
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</tr>
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<tr>
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<td>Max Batch (↑)</td>
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<td>4</td>
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<td>16 (×4)</td>
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</tr>
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</tbody>
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</table>
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## Inference
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