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README.md
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@@ -60,7 +60,8 @@ Then, we utilize the diverse set of input images from the [MagicBrush benchmark]
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Moreover, to increase the quality of the collected examples, we apply a post-verification stage, in which crowd workers filter examples with irrelevant instructions.
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Finally, to support evaluation for methods that require input and output captions (e.g. prompt2prompt and pnp), we additionally collect an input caption and output caption for each example.
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When doing so, we ask annotators to ensure that the captions capture both important elements in the image, and elements that should change based on the instruction.
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### Licensing Information
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Moreover, to increase the quality of the collected examples, we apply a post-verification stage, in which crowd workers filter examples with irrelevant instructions.
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Finally, to support evaluation for methods that require input and output captions (e.g. prompt2prompt and pnp), we additionally collect an input caption and output caption for each example.
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When doing so, we ask annotators to ensure that the captions capture both important elements in the image, and elements that should change based on the instruction.
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Additionally, to support proper comparison with Emu Edit with publicly release the model generations on the test set [here](https://huggingface.co/datasets/facebook/emu_edit_test_set_generations).
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For more details please see our [paper](TODO) and [project page](https://emu-edit.metademolab.com/).
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### Licensing Information
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