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# InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models
< 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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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.
https://github.com/TencentARC/InstantMesh/assets/20635237/3be9d294-15ec-450a-8339-e2387459e098
# Bibtex
If you find our work useful for your research and applications, please cite using this BibTeX:
```BibTeX
@article {xu2024instantmesh,
title={InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models},
author={Jiale Xu and Weihao Cheng and Yiming Gao and Xintao Wang and Shenghua Gao and Ying Shan},
journal={arXiv preprint},
year={2024}
}