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--- |
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license: mit |
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pipeline_tag: text-to-3d |
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tags: |
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- image-to-3d |
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- text-to-3d |
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--- |
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# LGM |
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This model contains the pretrained weights for *LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation*. |
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### [Project Page](https://me.kiui.moe/lgm/) | [Arxiv](https://arxiv.org/abs/2402.05054) | [Weights](https://huggingface.co/ashawkey/LGM) |
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## Introduction |
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LGM can generate 3D objects from image or text within 5 seconds at high-resolution based on Gaussian Splatting. |
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<video controls autoplay src="https://cdn-uploads.huggingface.co/production/uploads/63367f9a9895307563659be6/9CVJZ5ZXkhheDPKl3M0pM.mp4"></video> |
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<video controls autoplay src="https://cdn-uploads.huggingface.co/production/uploads/63367f9a9895307563659be6/6DM_hNEDLRJOz95pgVjek.mp4"></video> |
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## Model Details |
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The model is trained on a ~80K subset of [Objaverse](https://huggingface.co/datasets/allenai/objaverse). |
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For more details, please refer to our paper. |
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## Usage |
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To download the model: |
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```python |
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from huggingface_hub import hf_hub_download |
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ckpt_path = hf_hub_download(repo_id="ashawkey/LGM", filename="model_fp16_fixrot.safetensors") |
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``` |
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Please refer to our [repo](https://github.com/3DTopia/LGM) for more details on loading and inference. |
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## Citation |
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``` |
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@article{tang2024lgm, |
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title={LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation}, |
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author={Tang, Jiaxiang and Chen, Zhaoxi and Chen, Xiaokang and Wang, Tengfei and Zeng, Gang and Liu, Ziwei}, |
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journal={arXiv preprint arXiv:2402.05054}, |
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year={2024} |
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} |
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``` |
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