metadata
tags:
- model_hub_mixin
- pytorch_model_hub_mixin
This model has been pushed to the Hub using the PytorchModelHubMixin integration:
- Library: [More Information Needed]
- Docs: [More Information Needed]
license: apache-2.0 - en
Overview
This repository contains the example data and face blendshape model of the paper LAM.
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
Download Model
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}
}