Improve model card with pipeline tag, paper, project page, and GitHub links

This PR enhances the model card by:
- Adding the `pipeline_tag: robotics` for better discoverability on the Hugging Face Hub.
- Including direct links to the official paper, the project page, and the GitHub repository.
- Providing a concise overview of the framework's components, including a teaser image and video demonstrations from the GitHub README.
- Adding the BibTeX citation for proper attribution.

Please review and merge this PR if these improvements are satisfactory.

README.md

@@ -1,3 +1,49 @@
----
-license: mit
----
+---
+license: mit
+pipeline_tag: robotics
+---
+
+# Real-to-Sim Robot Policy Evaluation with Gaussian Splatting Simulation of Soft-Body Interactions
+
+This repository contains the official implementation of the **Real-to-Sim Robot Policy Evaluation with Gaussian Splatting Simulation of Soft-Body Interactions** framework, presented in the paper [Real-to-Sim Robot Policy Evaluation with Gaussian Splatting Simulation of Soft-Body Interactions](https://huggingface.co/papers/2511.04665).
+
+This framework introduces a novel real-to-sim policy evaluation approach that constructs soft-body digital twins from real-world videos and renders robots, objects, and environments with photorealistic fidelity using 3D Gaussian Splatting. It aims to provide a scalable, systematic, and accurate alternative for evaluating robotic manipulation policies, particularly for tasks involving deformable objects.
+
+**Project Page:** https://real2sim-eval.github.io/
+**Code:** https://github.com/kywind/real2sim-eval
+
+<div align="center">
+  <img src="https://github.com/kywind/real2sim-eval/blob/main/assets/media/teaser.jpg" alt="Teaser Image" width="790"/>
+</div>
+
+## Overview
+
+This repository contains the official implementation of the **Real-to-Sim-Policy-Eval** framework. The main components are:
+
+-   Construct simulation assets: visualize object Gaussians, articulate robot Gaussians, define and render different object layouts.
+-   Deploy trained [PhysTwin](https://github.com/Jianghanxiao/PhysTwin) to simulate deformable object Gaussians.
+-   Train policies using the [policy_training](https://github.com/shuosha/policy_training) submodule located in `policy/`.
+-   Evaluate policy in the constructed simulation environment.
+-   Interactive control of the Gaussian-based simulation.
+
+<div align="center">
+  <video controls src="https://github.com/user-attachments/assets/a43362e9-26c6-48c5-8edd-8995c2c45c08"></video>
+</div>
+<div align="center">
+  <video controls src="https://github.com/user-attachments/assets/e870efef-1974-45bc-ab9e-0c639238894a"></video>
+</div>
+
+For detailed installation instructions, usage examples for policy evaluation, keyboard interactive control, motion replay, and policy training, please refer to the [GitHub repository](https://github.com/kywind/real2sim-eval).
+
+## Citation
+
+If you find this repo useful, please consider citing the paper:
+
+```bibtex
+@article{zhang2025real,
+    title={Real-to-Sim Robot Policy Evaluation with Gaussian Splatting Simulation of Soft-Body Interactions},
+    author={Zhang, Kaifeng and Sha, Shuo and Jiang, Hanxiao and Loper, Matthew and Song, Hyunjong and Cai, Guangyan and Xu, Zhuo and Hu, Xiaochen and Zheng, Changxi and Li, Yunzhu},
+    journal={arXiv preprint arXiv:2511.04665},
+    year={2025}
+}
+```