Update README.md

README.md

@@ -4,6 +4,38 @@ tags:
 - pytorch_model_hub_mixin
 ---
 
-This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) integration:
-- Library: [More Information Needed]
-- Docs: [More Information Needed]
+<div align="center">
+<h1>VGGT: Visual Geometry Grounded Transformer</h1>
+
+<!-- <a href=""><img src='https://img.shields.io/badge/arXiv-VGGT' alt='Paper PDF'></a> -->
+<!-- <a href=''><img src='https://img.shields.io/badge/Project_Page-green' alt='Project Page'></a> -->
+<a href="https://jytime.github.io/data/VGGT_CVPR25.pdf"><img src='https://img.shields.io/badge/Paper-VGGT' alt='Paper PDF'></a> 
+<a href='https://huggingface.co/spaces/facebook/vggt'><img src='https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Demo-blue'></a>
+
+
+**[Meta AI Research](https://ai.facebook.com/research/)**; **[University of Oxford, VGG](https://www.robots.ox.ac.uk/~vgg/)**
+
+
+[Jianyuan Wang](https://jytime.github.io/), [Minghao Chen](https://silent-chen.github.io/), [Nikita Karaev](https://nikitakaraevv.github.io/), [Andrea Vedaldi](https://www.robots.ox.ac.uk/~vedaldi/), [Christian Rupprecht](https://chrirupp.github.io/), [David Novotny](https://d-novotny.github.io/)
+</div>
+
+## Overview
+
+Visual Geometry Grounded Transformer (VGGT, CVPR 2025) is a feed-forward neural network that directly infers all key 3D attributes of a scene, including extrinsic and intrinsic camera parameters, point maps, depth maps, and 3D point tracks, **from one, a few, or hundreds of its views, within seconds**.
+
+## Quick Start
+
+Please refer to our [Github Repo](https://github.com/facebookresearch/vggt)
+
+
+## Citation
+If you find our repository useful, please consider giving it a star ⭐ and citing our paper in your work:
+
+```bibtex
+@inproceedings{wang2025vggt,
+  title={VGGT: Visual Geometry Grounded Transformer},
+  author={Wang, Jianyuan and Chen, Minghao and Karaev, Nikita and Vedaldi, Andrea and Rupprecht, Christian and Novotny, David},
+  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
+  year={2025}
+}
+```