Improve model card for FastMesh

This PR significantly enhances the model card by:
- Adding the `license` and `pipeline_tag: text-to-3d` to the metadata, improving discoverability.
- Including a comprehensive description based on the paper abstract.
- Providing direct links to the paper, project page, and the GitHub repository.
- Incorporating a clear "Quick Start" section with official code examples for generating meshes.
- Adding the academic citation for the paper.

These updates will make the model more discoverable and easier to use for the community.

README.md

@@ -2,9 +2,39 @@
 tags:
 - model_hub_mixin
 - pytorch_model_hub_mixin
+license: apache-2.0
+pipeline_tag: text-to-3d
 ---
 
-This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) integration:
-- Code: [More Information Needed]
-- Paper: [More Information Needed]
-- Docs: [More Information Needed]
+# FastMesh: Efficient Artistic Mesh Generation via Component Decoupling
+
+This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) integration.
+
+**FastMesh** is an efficient framework that generates artistic meshes by treating vertices and faces separately, significantly reducing redundancy and achieving more than 8x faster speed on mesh generation compared to state-of-the-art approaches, while producing higher mesh quality.
+
+- 📚 Paper: [FastMesh: Efficient Artistic Mesh Generation via Component Decoupling](https://huggingface.co/papers/2508.19188)
+- 🏠 Project Page: [https://jhkim0759.github.io/projects/FastMesh/](https://jhkim0759.github.io/projects/FastMesh/)
+- 💻 Code: [https://github.com/jhkim0759/FastMesh](https://github.com/jhkim0759/FastMesh)
+
+## 💡 Quick Start
+Generate meshes from sampled point cloud with V1K variant:
+```bash
+python inference.py --mesh_path assets --variant V1K --batch_size 3
+```
+Generate meshes from sampled point cloud with V4K variant:
+```bash
+python inference.py --mesh_path assets --variant V4K --batch_size 1
+```
+
+## 📚 Citation
+If you find our work helpful, please consider citing:
+```bibtex
+@misc{kim2025fastmesh,
+      title={FastMesh: Efficient Artistic Mesh Generation via Component Decoupling}, 
+      author={Jeonghwan Kim and Yushi Lan and Armando Fortes and Yongwei Chen and Xingang Pan},
+      year={2025},
+      eprint={2508.19188},
+      archivePrefix={arXiv},
+      url={https://arxiv.org/abs/2508.19188}, 
+}
+```