Update README.md

README.md

@@ -1,10 +1,17 @@
+---
+thumbnail: "https://motionbert.github.io/assets/teaser.gif"
+tags:
+- 3D Human Pose Estimation
+- Skeleton-based Action Recognition
+- Mesh Recovery
+arxiv: "2210.06551"
+---
+
 # 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> 
 
-[![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)
+[![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)
 
 This is the official PyTorch implementation of the paper *"[Learning Human Motion Representations: A Unified Perspective](https://arxiv.org/pdf/2210.06551.pdf)"*.
 
@@ -20,8 +27,6 @@ conda install pytorch torchvision torchaudio pytorch-cuda=11.6 -c pytorch -c nvi
 pip install -r requirements.txt
 ```
 
-
-
 ## Getting Started
 
 | Task                              | Document                                                     |