Datasets:
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# Exemplar-Based Image Editing
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A curated dataset of ~1,500 samples for evaluating exemplar-based image editing methods, as presented in our
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## Dataset Structure
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## Dataset Description
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This dataset was carefully curated from
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**Format**: (x, x_edit, y, y_edit) tuples
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**Size**: ~1,500 samples
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# ReEdit-Bench: Benchmark Dataset for Exemplar-Based Image Editing
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A curated dataset of ~1,500 samples for evaluating exemplar-based image editing methods, as presented in our paper - **ReEdit: Multimodal Exemplar-Based Image Editing with Diffusion Models** - at WACV'25
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[](https://reedit-diffusion.github.io/) [](https://arxiv.org/abs/2411.03982) [](https://github.com/reedit-diffusion/reedit-diffusion)
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<img src="https://cdn-uploads.huggingface.co/production/uploads/675d4f54dfdaa78daabe8e71/G1G1laTDtfd598f_z7t6v.jpeg" alt="reedit_overview" width="800"/>
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## Dataset Structure
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## Dataset Description
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This dataset was carefully curated from InstructP2P samples, with manual visual inspection to ensure high quality. The edit operation demonstrated on (x_original → x_edited) should be applicable to (y_original → y_edited).
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**Format**: (x, x_edit, y, y_edit) tuples
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**Size**: ~1,500 samples
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