Release technical report

README.md

@@ -15,7 +15,7 @@ Wenjiang Zhou
 
 Lyra Lab, Tencent Music Entertainment
 
-**[github](https://github.com/TMElyralab/MuseTalk)**    **[huggingface](https://huggingface.co/TMElyralab/MuseTalk)**    **[space](https://huggingface.co/spaces/TMElyralab/MuseTalk)**    **[Technical report](https://arxiv.org/pdf/2410.10122)**
+**[github](https://github.com/TMElyralab/MuseTalk)**    **[huggingface](https://huggingface.co/TMElyralab/MuseTalk)**    **[space](https://huggingface.co/spaces/TMElyralab/MuseTalk)**    **[Technical report](https://arxiv.org/abs/2410.10122)**
 
 We introduce `MuseTalk`, a **real-time high quality** lip-syncing model (30fps+ on an NVIDIA Tesla V100). MuseTalk can be applied with input videos, e.g., generated by [MuseV](https://github.com/TMElyralab/MuseV), as a complete virtual human solution.
 
@@ -44,7 +44,7 @@ Please find details in the following two links or contact zkangchen@tencent.com
 - [04/02/2024] Release MuseTalk project and pretrained models.
 - [04/16/2024] Release Gradio [demo](https://huggingface.co/spaces/TMElyralab/MuseTalk) on HuggingFace Spaces (thanks to HF team for their community grant)
 - [04/17/2024] : We release a pipeline that utilizes MuseTalk for real-time inference.
-- [10/18/2024] :mega: We publish the [technical report](https://arxiv.org/pdf/2410.10122).
+- [10/18/2024] :mega: We release the [technical report](https://arxiv.org/abs/2410.10122).
 
 ## Model
 ![Model Structure](assets/figs/musetalk_arc.jpg)