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@@ -16,7 +16,9 @@ This repository hosts **MagicData340K**, a large-scale human-annotated dataset c
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`MagicData340K` is the first human-annotated large-scale dataset, comprising 340,000 generated images, each with fine-grained artifact labels. These annotations are guided by a detailed taxonomy of generated image artifacts, making the dataset crucial for understanding and improving the perceptual quality of T2I models.
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**Paper**: [MagicMirror: A Large-Scale Dataset and Benchmark for Fine-Grained Artifacts Assessment in Text-to-Image Generation](https://arxiv.org/abs/2509.10260)
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**Project Page**: [https://wj-inf.github.io/MagicMirror-page/](https://wj-inf.github.io/MagicMirror-page/)
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**Code (MagicMirror Benchmark)**: [https://github.com/wj-inf/MagicMirror](https://github.com/wj-inf/MagicMirror)
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<p align="center"><img src="https://github.com/wj-inf/MagicMirror/blob/main/assets/output_example.png?raw=true" width="95%"></p>
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`MagicData340K` is the first human-annotated large-scale dataset, comprising 340,000 generated images, each with fine-grained artifact labels. These annotations are guided by a detailed taxonomy of generated image artifacts, making the dataset crucial for understanding and improving the perceptual quality of T2I models.
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**Paper**: [MagicMirror: A Large-Scale Dataset and Benchmark for Fine-Grained Artifacts Assessment in Text-to-Image Generation](https://arxiv.org/abs/2509.10260)
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**Project Page**: [https://wj-inf.github.io/MagicMirror-page/](https://wj-inf.github.io/MagicMirror-page/)
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**Code (MagicMirror Benchmark)**: [https://github.com/wj-inf/MagicMirror](https://github.com/wj-inf/MagicMirror)
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<p align="center"><img src="https://github.com/wj-inf/MagicMirror/blob/main/assets/output_example.png?raw=true" width="95%"></p>
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