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add quantization paper mixdq & viditq (#28)
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README.md

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|Date|Title|Paper|Code|Recom|
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|2024.08| 🔥[**Transfusion**] Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model(@meta)|[[pdf]](https://www.arxiv.org/pdf/2408.11039) | [[transfusion-pytorch]](https://github.com/lucidrains/transfusion-pytorch) ![](https://img.shields.io/github/stars/lucidrains/transfusion-pytorch.svg?style=social)|⭐️⭐️ |
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|2024.08| 🔥[**Transfusion**] Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model(@meta)|[[pdf]](https://www.arxiv.org/pdf/2408.11039) | [[transfusion-pytorch]](https://github.com/A-suozhang/MixDQ) ![](https://img.shields.io/github/stars/lucidrains/transfusion-pytorch.svg?style=social)|⭐️⭐️ |
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|2024.08| 🔥[**MixDQ**] MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization (@THU&Infinigence AI.)|[[pdf]](https://arxiv.org/abs/2405.17873) | [[mixdq]](https://github.com/thu-nics/MixDQ) ![](https://img.shields.io/github/stars/thu-nics/MixDQ.svg?style=social)|⭐️⭐️|
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|2024.08| 🔥[**ViDiT-Q**] ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation (@THU&Infinigence AI.)|[[pdf]](https://arxiv.org/abs/2406.02540) | [[viditq]](https://github.com/thu-nics/ViDiT-Q) ![](https://img.shields.io/github/stars/thu-nics/ViDiT-Q?style=social)|⭐️⭐️|
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|2024.08| 🔥[**VQ4DiT**] VQ4DiT: Efficient Post-Training Vector Quantization for Diffusion Transformers(@ZJU)|[[pdf]](https://arxiv.org/pdf/2408.17131) |⚠️|⭐️⭐️ |
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|2024.08| 🔥[**LBQ**] Low-Bitwidth Floating Point Quantization for Efficient High-Quality Diffusion Models(@toronto.edu)|[[pdf]](https://arxiv.org/pdf/2408.06995) |⚠️|⭐️⭐️ |
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|2024.08| 🔥[**EE-Diffusion**] A Simple Early Exiting Framework for Accelerated Sampling in Diffusion Models(@KAIST AI)|[[pdf]](https://arxiv.org/pdf/2408.05927) | [[ee-diffusion]](https://github.com/taehong-moon/ee-diffusion) ![](https://img.shields.io/github/stars/taehong-moon/ee-diffusion.svg?style=social)|⭐️⭐️ |

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