Update README.md

Author: DefTruth

README.md

@@ -27,12 +27,12 @@
 
 |Date|Title|Paper|Code|Recom|
 |:---:|:---:|:---:|:---:|:---:|   
-|2023.12|🔥🔥[DeepCache] DeepCache: Accelerating Diffusion Models for Free(@nus.edu)|[[pdf]](https://arxiv.org/pdf/2312.00858) | [[DeepCache]](https://github.com/horseee/DeepCache) ![](https://img.shields.io/github/stars/horseee/DeepCache.svg?style=social)| ⭐️⭐️ |   
-|2024.02|🔥🔥[DistriFusion] DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models(@MIT etc)|[[pdf]](https://arxiv.org/abs/2402.19481) | [[distrifuser]](https://github.com/mit-han-lab/distrifuser) ![](https://img.shields.io/github/stars/mit-han-lab/distrifuser.svg?style=social)| ⭐️⭐️ |   
-|2024.05|🔥🔥[PipeFusion] PipeFusion: Displaced Patch Pipeline Parallelism for Inference of Diffusion Transformer Models(@Tencent etc)|[[pdf]](https://arxiv.org/pdf/2405.14430) | [[PipeFusion]](https://github.com/PipeFusion/PipeFusion) ![](https://img.shields.io/github/stars/PipeFusion/PipeFusion.svg?style=social)| ⭐️⭐️ | 
-|2024.06| 🔥🔥[AsyncDiff] AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising(@nus.edu) | [[pdf]](https://arxiv.org/pdf/2406.06911) | [[AsyncDiff]](https://github.com/czg1225/AsyncDiff) ![](https://img.shields.io/github/stars/czg1225/AsyncDiff.svg?style=social)| ⭐️⭐️ |   
-|2024.06| 🔥🔥[Layer Caching] Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching(@nus.edu)  | [[pdf]](https://arxiv.org/pdf/2406.01733) | [[learning-to-cache]](https://github.com/horseee/learning-to-cache/) ![](https://img.shields.io/github/stars/horseee/learning-to-cache.svg?style=social)| ⭐️⭐️ | 
-|2024.05 | 🔥🔥[TensorRT-LLM SDXL] SDXL Distributed Inference in TensorRT-LLM with synchronous comm(@Zars19) | [[pdf]](https://arxiv.org/abs/2402.19481) | [[SDXL-TensorRT-LLM]](https://github.com/NVIDIA/TensorRT-LLM/pull/1514) ![](https://img.shields.io/github/stars/NVIDIA/TensorRT-LLM.svg?style=social)| ⭐️⭐️ | 
+|2023.12|🔥🔥[**DeepCache**] DeepCache: Accelerating Diffusion Models for Free(@nus.edu)|[[pdf]](https://arxiv.org/pdf/2312.00858) | [[DeepCache]](https://github.com/horseee/DeepCache) ![](https://img.shields.io/github/stars/horseee/DeepCache.svg?style=social)| ⭐️⭐️ |   
+|2024.02|🔥🔥[**DistriFusion**] DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models(@MIT etc)|[[pdf]](https://arxiv.org/abs/2402.19481) | [[distrifuser]](https://github.com/mit-han-lab/distrifuser) ![](https://img.shields.io/github/stars/mit-han-lab/distrifuser.svg?style=social)| ⭐️⭐️ |   
+|2024.05|🔥🔥[**PipeFusion**] PipeFusion: Displaced Patch Pipeline Parallelism for Inference of Diffusion Transformer Models(@Tencent etc)|[[pdf]](https://arxiv.org/pdf/2405.14430) | [[PipeFusion]](https://github.com/PipeFusion/PipeFusion) ![](https://img.shields.io/github/stars/PipeFusion/PipeFusion.svg?style=social)| ⭐️⭐️ | 
+|2024.06| 🔥🔥[**AsyncDiff**] AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising(@nus.edu) | [[pdf]](https://arxiv.org/pdf/2406.06911) | [[AsyncDiff]](https://github.com/czg1225/AsyncDiff) ![](https://img.shields.io/github/stars/czg1225/AsyncDiff.svg?style=social)| ⭐️⭐️ |   
+|2024.06| 🔥🔥[**Layer Caching**] Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching(@nus.edu)  | [[pdf]](https://arxiv.org/pdf/2406.01733) | [[learning-to-cache]](https://github.com/horseee/learning-to-cache/) ![](https://img.shields.io/github/stars/horseee/learning-to-cache.svg?style=social)| ⭐️⭐️ | 
+|2024.05 | 🔥🔥[**TensorRT-LLM SDXL**] SDXL Distributed Inference in TensorRT-LLM with synchronous comm(@Zars19) | [[pdf]](https://arxiv.org/abs/2402.19481) | [[SDXL-TensorRT-LLM]](https://github.com/NVIDIA/TensorRT-LLM/pull/1514) ![](https://img.shields.io/github/stars/NVIDIA/TensorRT-LLM.svg?style=social)| ⭐️⭐️ | 
 
 
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