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23 lines
1.1 KiB
23 lines
1.1 KiB
6 months ago
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<div align="center">
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# InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models
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<a href="https://huggingface.co/papers/xxx"><img src="https://img.shields.io/badge/%F0%9F%A4%97%20Paper-Huggingface-orange"></a> <a href="https://huggingface.co/TencentARC/InstantMesh"><img src="https://img.shields.io/badge/%F0%9F%A4%97%20Model_Card-Huggingface-orange"></a> <a href="https://huggingface.co/spaces/TencentARC/InstantMesh"><img src="https://img.shields.io/badge/%F0%9F%A4%97%20Gradio%20Demo-Huggingface-orange"></a>
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</div>
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---
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This repo is the official implementation of InstantMesh, a feed-forward framework for efficient 3D mesh generation from a single image. We will release all the code, weights, and demo here.
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# Bibtex
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If you find our work useful for your research and applications, please cite using this BibTeX:
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```BibTeX
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@article{xu2024instantmesh,
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title={InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models},
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author={Jiale Xu and Weihao Cheng and Yiming Gao and Xintao Wang and Shenghua Gao and Ying Shan},
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journal={arXiv preprint},
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year={2024}
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}
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