Upload folder using huggingface_hub

LAM_assets.tar

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+size 292433920

LAM_human_model.tar

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README.md

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+---
+tags:
+- model_hub_mixin
+- pytorch_model_hub_mixin
+---
+
+This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) integration:
+- Library: [More Information Needed]
+- Docs: [More Information Needed]
+
+---
+license: apache-2.0
+- en
+---
+<div align="center">
+<h1>LAM: Large Avatar Model for One-shot Animatable Gaussian Head</h1>
+
+<div align="center" style="display: flex; justify-content: center; flex-wrap: wrap;">
+  <!-- <a href='LICENSE'><img src='https://img.shields.io/badge/license-MIT-yellow'></a> -->
+  <a href='https://arxiv.org/pdf/2502.17796'><img src='https://img.shields.io/badge/📜-arXiv:2503-10625'></a> 
+  <a href='https://aigc3d.github.io/projects/LAM/'><img src='https://img.shields.io/badge/🌐-Project_Website-blueviolet'></a> 
+  <a href='https://huggingface.co/spaces/3DAIGC/LAM'><img src='https://img.shields.io/badge/🤗-HuggingFace_Space-blue'></a> 
+  <a href="https://www.apache.org/licenses/LICENSE-2.0"><img src="https://img.shields.io/badge/📃-Apache--2.0-929292"></a>
+</div>
+</div>
+
+
+## Overview
+
+This repository contains the example data and face blendshape model of the paper [LAM](https://arxiv.org/pdf/2502.17796). 
+
+LAM creates animatable Gaussian heads with one-shot images in a single forward pass in seconds. The reconstructed Gaussian avatar can
+be reenacted and rendered on various platforms in real-time.
+
+
+## Quick Start
+
+Please refer to our [Github Repo](https://github.com/aigc3d/LAM)
+
+### Download Model
+```python
+from huggingface_hub import hf_hub_download
+
+hf_hub_download(repo_id="3DAIGC/LAM-assets',
+                repo_type='model',
+                filename='LAM_human_model.tar',
+                local_dir='./')
+os.system('tar -xf LAM_human_model.tar && rm LAM_human_model.tar')
+
+# launch example for LAM
+hf_hub_download(repo_id='3DAIGC/LAM-assets',
+                repo_type='model',
+                filename='LAM_assets.tar',
+                local_dir='./')
+os.system('tar -xf LAM_assets.tar && rm LAM_assets.tar')
+```
+
+
+## Citation 
+```
+@article{he2025lam,
+  title={LAM: Large Avatar Model for One-shot Animatable Gaussian Head},
+  author={He, Yisheng and Gu, Xiaodong and Ye, Xiaodan and Xu, Chao and Zhao, Zhengyi and Dong, Yuan and Yuan, Weihao and Dong, Zilong and Bo, Liefeng},
+  journal={arXiv preprint arXiv:2502.17796},
+  year={2025}
+}
+```

config.json

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+{
+}