Update README.md

README.md

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 # MotionBERT
 
-<a href="https://pytorch.org/get-started/locally/"><img alt="PyTorch" src="https://img.shields.io/badge/PyTorch-ee4c2c?logo=pytorch&logoColor=white"></a> [![arXiv](https://img.shields.io/badge/arXiv-2210.06551-b31b1b.svg)](https://arxiv.org/abs/2210.06551) <a href="https://motionbert.github.io/"><img alt="Project" src="https://img.shields.io/badge/-Project%20Page-lightgrey?logo=Google%20Chrome&color=informational&logoColor=white"></a> <a href="https://youtu.be/slSPQ9hNLjM"><img alt="Demo" src="https://img.shields.io/badge/-Demo-ea3323?logo=youtube"></a> 
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-[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/motionbert-unified-pretraining-for-human/monocular-3d-human-pose-estimation-on-human3)](https://paperswithcode.com/sota/monocular-3d-human-pose-estimation-on-human3?p=motionbert-unified-pretraining-for-human) [![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/motionbert-unified-pretraining-for-human/one-shot-3d-action-recognition-on-ntu-rgbd)](https://paperswithcode.com/sota/one-shot-3d-action-recognition-on-ntu-rgbd?p=motionbert-unified-pretraining-for-human) [![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/motionbert-unified-pretraining-for-human/3d-human-pose-estimation-on-3dpw)](https://paperswithcode.com/sota/3d-human-pose-estimation-on-3dpw?p=motionbert-unified-pretraining-for-human)
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 This is the official PyTorch implementation of the paper *"[Learning Human Motion Representations: A Unified Perspective](https://arxiv.org/pdf/2210.06551.pdf)"*.
 
 <img src="https://motionbert.github.io/assets/teaser.gif" alt="" style="zoom: 60%;" />