init

README.md

@@ -0,0 +1,23 @@
+<div align="center">
+  
+# 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>
+
+</div>
+
+---
+
+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.
+
+# 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}
+}