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README.md

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-# GP-VTON
-Official Implementation for CVPR2023 paper [GP-VTON: Towards General Purpose Virtual Try-on via Collaborative Local-Flow Global-Parsing Learning](https://arxiv.org/pdf/2303.13756.pdf).
+<div align="center">
+
+<h1>GP-VTON: Towards General Purpose Virtual Try-on via Collaborative Local-Flow Global-Parsing Learning</h1>
+
+<div>
+    <a href="https://xiezhy6.github.io/" target="_blank">Zhenyu Xie</a><sup>1</sup>,
+    <a href="" target="_blank">Zaiyu Huang</a><sup>1</sup>,
+    <a href="">Xin Dong</a><sup>2</sup>,
+    <a href="https://scholar.google.com/citations?user=XSf0hP4AAAAJ&hl=en" target="_blank">Fuwei Zhao</a><sup>1</sup>,
+    <a href="https://sites.google.com/view/hydong?pli=1" target="_blank">Haoye Dong</a><sup>3</sup>,
+    <a href="" target="_blank">Xijin Zhang</a><sup>2</sup>
+    <a href="" target="_blank">Feida Zhu</a><sup>2</sup>
+    <a href="https://lemondan.github.io/" target="_blank">Xiaodan Liang</a><sup>1,4</sup>
+</div>
+<div>
+    <sup>1</sup>Shenzhen Campus of Sun Yat-Sen University&emsp; <sup>2</sup>ByteDance
+    <sup>3</sup>Carnegie Mellon University&emsp; <sup>4</sup>Peng Cheng Laboratory
+</div>
+
+[Paper](https://arxiv.org/pdf/2303.13756.pdf) | [Project Page]()
+</br>
+
+<strong>GP-VTON aims to transfer an in-shop garment onto the particular person.</strong>
+
+<div style="width: 100%; text-align: center; margin:auto;">
+    <img style="width:100%" src="figures/worldcup_vton.png">
+</div>
 
-![Teaser image](./figures/worldcup_vton.png)
 
 ## Dataset
 We provide the fine-grained parsing result of the model images and in-shop garment images from two existing high-resolution (1024 x 768) virtual try-on benchmarks, namely, VITON-HD and DressCode.