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app.py
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@@ -147,15 +147,15 @@ if __name__ == "__main__":
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gr.HTML(
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"""
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<div style="text-align: center; max-width: 1200px; margin: 20px auto;">
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<h1 style="font-weight: 600; font-size: 2rem; margin:
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UDiffText: A Unified Framework for High-quality Text Synthesis in Arbitrary Images via Character-aware Diffusion Models
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</h1>
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<ul style="text-align: center; margin:
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<li style="display: inline-block; margin:auto;"><a href='https://arxiv.org/pdf/******'><img src='https://img.shields.io/badge/Arxiv-******-DF826C'></a></li>
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<li style="display: inline-block; margin:auto;"><a href='https://github.com/ZYM-PKU/UDiffText'><img src='https://img.shields.io/badge/Code-UDiffText-D0F288'></a></li>
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<li style="display: inline-block; margin:auto;"><a href='https://udifftext.github.io'><img src='https://img.shields.io/badge/Project-UDiffText-8ADAB2'></a></li>
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</ul>
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<h2 style="text-align: left; font-weight: 450; font-size: 1rem; margin
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Our proposed UDiffText is capable of synthesizing accurate and harmonious text in either synthetic or real-word images, thus can be applied to tasks like scene text editing (a), arbitrary text generation (b) and accurate T2I generation (c)
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</h2>
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<div align=center><img src="file/demo/teaser.png" alt="UDiffText" width="80%"></div>
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gr.HTML(
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"""
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<div style="text-align: center; max-width: 1200px; margin: 20px auto;">
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<h1 style="font-weight: 600; font-size: 2rem; margin: 0.5rem;">
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UDiffText: A Unified Framework for High-quality Text Synthesis in Arbitrary Images via Character-aware Diffusion Models
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</h1>
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+
<ul style="text-align: center; margin: 0.5rem;">
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<li style="display: inline-block; margin:auto;"><a href='https://arxiv.org/pdf/******'><img src='https://img.shields.io/badge/Arxiv-******-DF826C'></a></li>
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<li style="display: inline-block; margin:auto;"><a href='https://github.com/ZYM-PKU/UDiffText'><img src='https://img.shields.io/badge/Code-UDiffText-D0F288'></a></li>
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<li style="display: inline-block; margin:auto;"><a href='https://udifftext.github.io'><img src='https://img.shields.io/badge/Project-UDiffText-8ADAB2'></a></li>
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</ul>
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+
<h2 style="text-align: left; font-weight: 450; font-size: 1rem; margin: 0.5rem;">
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Our proposed UDiffText is capable of synthesizing accurate and harmonious text in either synthetic or real-word images, thus can be applied to tasks like scene text editing (a), arbitrary text generation (b) and accurate T2I generation (c)
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</h2>
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<div align=center><img src="file/demo/teaser.png" alt="UDiffText" width="80%"></div>
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