File size: 1,576 Bytes
65a0c9a cb46597 348168f 7ce8c6d 65a0c9a 46bf21a 348168f 7ce8c6d |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 |
---
license: mit
pipeline_tag: text-to-3d
tags:
- image-to-3d
- text-to-3d
- 'pokemon '
- realistic
- fantasy
- technology
---
# 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}
}
``` |