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Aleksandar
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Top-Bench-X

Tasks:
Image-to-Image
Modalities:
Image
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Languages:
English
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1K - 10K
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Tags:
Exemplar
Editing
Image2Image
Diffusion
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  # EditCLIP: Representation Learning for Image Editing
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- [📑 Paper](https://arxiv.org/abs/2503.20318)
 
 
 
 
 
 
 
 
 
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  [💻 Project Page](https://qianwangx.github.io/EditCLIP/)
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  [🐙 Github](https://github.com/QianWangX/EditCLIP)
 
 
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  </div>
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  ## 📚 Introduction
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- The **TOP-Bench-X** dataset offers **Query** and **Exemplar** image pairs tailored for exemplar-based image editing. We built it by adapting the TOP-Bench dataset from [InstructBrush](https://royzhao926.github.io/InstructBrush/). Specifically, we use the original training split to generate exemplar images and the test split to supply their corresponding queries. In total, TOP-Bench-X comprises **1,277** samples, including **257** distinct exemplars and **124** unique queries.
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  <img src="assets/teaser_editclip.png" alt="Teaser figure of EditCLIP" width="100%">
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  # EditCLIP: Representation Learning for Image Editing
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+ [![Paper](https://img.shields.io/badge/arXiv-2503.20318-b31b1b)](https://arxiv.org/abs/2503.20318)
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+ [![Project Page](https://img.shields.io/badge/🌐-Project_Page-blue)](https://qianwangx.github.io/EditCLIP/)
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+ [![GitHub](https://img.shields.io/badge/GitHub-Repository-black?logo=github)](https://github.com/QianWangX/EditCLIP)
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+ [![ICCV 2025](https://img.shields.io/badge/📷-Published_at_ICCV_2025-blue)](https://iccv2025.thecvf.com/)
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+ <!-- [![ICCV](https://img.shields.io/badge/📷-Published_at_ICCV_2025-blue)](https://iccv2025.thecvf.com/)
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+ [![CVF ICCV](https://img.shields.io/badge/IEEE_CVF-ICCV_2025-blue)](https://iccv2025.thecvf.com/) -->
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+ <!-- [📑 Paper](https://arxiv.org/abs/2503.20318)
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  [💻 Project Page](https://qianwangx.github.io/EditCLIP/)
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  [🐙 Github](https://github.com/QianWangX/EditCLIP)
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+ [![ICCV](https://img.shields.io/badge/📷-Published_at_ICCV_2025-blue)](https://iccv2025.thecvf.com/) -->
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  </div>
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  ## 📚 Introduction
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+ The **TOP-Bench-X** dataset offers **Query** and **Exemplar** image pairs tailored for exemplar-based image editing. We built it by adapting the TOP-Bench dataset from [InstructBrush](https://royzhao926.github.io/InstructBrush/) (also uploaded huggingface version at [Aleksandar/InstructBrush-Bench](https://huggingface.co/datasets/Aleksandar/InstructBrush-Bench)). Specifically, we use the original training split to generate exemplar images and the test split to supply their corresponding queries. In total, TOP-Bench-X comprises **1,277** samples, including **257** distinct exemplars and **124** unique queries.
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  <img src="assets/teaser_editclip.png" alt="Teaser figure of EditCLIP" width="100%">
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