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## MingTok: A Unified Tokenizer for Visual Understanding and Generation without Vector Quantization
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<p align="center">📑 <a href="">Technical Report</a> ｜ 📖 <a href="https://inclusionai.github.io/blog/mingtok/">Project Page</a> ｜ 🤗 <a href="https://huggingface.co/inclusionAI/MingTok-Vision">Hugging Face</a> ｜ 🤖 <a href="https://modelscope.cn/models/inclusionAI/MingTok-Vision">ModelScope</a> ｜ 💾 <a href="https://github.com/inclusionAI/Ming-UniVision">GitHub</a></p>
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## Key Features
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- 🖼️ **First Continuous Unified Vision Tokenizer:** MingTok enables unified vision understanding and generation via a continuous latent space, eliminating quantization while preserving semantic and perceptual fidelity.
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## MingTok: A Unified Tokenizer for Visual Understanding and Generation without Vector Quantization
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<p align="center">📑 <a href="https://inclusionai.github.io/blog/mingtok/">Technical Report</a> ｜ 📖 <a href="https://inclusionai.github.io/blog/mingtok/">Project Page</a> ｜ 🤗 <a href="https://huggingface.co/inclusionAI/MingTok-Vision">Hugging Face</a> ｜ 🤖 <a href="https://modelscope.cn/models/inclusionAI/MingTok-Vision">ModelScope</a> ｜ 💾 <a href="https://github.com/inclusionAI/Ming-UniVision">GitHub</a></p>
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## Key Features
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- 🖼️ **First Continuous Unified Vision Tokenizer:** MingTok enables unified vision understanding and generation via a continuous latent space, eliminating quantization while preserving semantic and perceptual fidelity.
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