Update README.md

README.md

@@ -1,3 +1,42 @@
----
-license: apache-2.0
----
+---
+license: apache-2.0
+language:
+- en
+pipeline_tag: image-to-3d
+---
+<div align="center">
+<h1>LHM: Large Animatable Human Reconstruction Model for Single Image to 3D in Seconds</h1>
+
+[![Project Website](https://img.shields.io/badge/🌐-Project_Website-blueviolet)](https://lingtengqiu.github.io/LHM/)
+[![arXiv Paper](https://img.shields.io/badge/📜-arXiv:2503-10625)](https://arxiv.org/pdf/2503.10625)
+[![HuggingFace](https://img.shields.io/badge/🤗-HuggingFace_Space-blue)](https://huggingface.co/spaces/DyrusQZ/LHM)
+[![Apache License](https://img.shields.io/badge/📃-Apache--2.0-929292)](https://www.apache.org/licenses/LICENSE-2.0)
+</div>
+
+
+## Overview
+
+This repository contains the models of the paper [LHM: Large Animatable Human Reconstruction Model
+for Single Image to 3D in Seconds](https://huggingface.co/papers/2503.10625). 
+
+LHM is a feed-forward model for animatable 3D human reconstruction from a single image in seconds. Trained on a large-scale video
+dataset with an image reconstruction loss, our model exhibits strong generalization ability to diverse real-world scenarios
+
+
+## Quick Start
+
+Please refer to our [Github Repo](https://github.com/aigc3d/LHM/tree/main)
+
+
+## Citation 
+```
+@inproceedings{qiu2025LHM,
+  title={LHM: Large Animatable Human Reconstruction Model from a Single Image in Seconds},
+  author={Lingteng Qiu and Xiaodong Gu and Peihao Li  and Qi Zuo
+     and Weichao Shen and Junfei Zhang and Kejie Qiu and Weihao Yuan
+     and Guanying Chen and Zilong Dong and Liefeng Bo 
+    },
+  booktitle={arXiv preprint arXiv:2503.10625},
+  year={2025}
+}
+```