|
--- |
|
license: mit |
|
pipeline_tag: text-to-3d |
|
tags: |
|
- image-to-3d |
|
- text-to-3d |
|
--- |
|
|
|
# LGM |
|
|
|
This model contains the pretrained weights for *LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation*. |
|
|
|
### [Project Page](https://me.kiui.moe/lgm/) | [Arxiv](https://arxiv.org/abs/2402.05054) | [Weights](https://huggingface.co/ashawkey/LGM) |
|
|
|
|
|
## Introduction |
|
LGM can generate 3D objects from image or text within 5 seconds at high-resolution based on Gaussian Splatting. |
|
|
|
<video controls autoplay src="https://cdn-uploads.huggingface.co/production/uploads/63367f9a9895307563659be6/9CVJZ5ZXkhheDPKl3M0pM.mp4"></video> |
|
|
|
<video controls autoplay src="https://cdn-uploads.huggingface.co/production/uploads/63367f9a9895307563659be6/6DM_hNEDLRJOz95pgVjek.mp4"></video> |
|
|
|
|
|
## Model Details |
|
The model is trained on a ~80K subset of [Objaverse](https://huggingface.co/datasets/allenai/objaverse). |
|
For more details, please refer to our paper. |
|
|
|
## Usage |
|
|
|
To download the model: |
|
```python |
|
from huggingface_hub import hf_hub_download |
|
ckpt_path = hf_hub_download(repo_id="ashawkey/LGM", filename="model_fp16.safetensors") |
|
``` |
|
Please refer to our [repo](https://github.com/3DTopia/LGM) for more details on loading and inference. |
|
|
|
## Citation |
|
|
|
``` |
|
@article{tang2024lgm, |
|
title={LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation}, |
|
author={Tang, Jiaxiang and Chen, Zhaoxi and Chen, Xiaokang and Wang, Tengfei and Zeng, Gang and Liu, Ziwei}, |
|
journal={arXiv preprint arXiv:2402.05054}, |
|
year={2024} |
|
} |
|
``` |
|
|
