Improve model card

README.md

@@ -1,18 +1,42 @@
 ---
 license: mit
+pipeline_tag: robotics
 ---
 
 # **SFHand – Official Checkpoint**
 
-This repository provides the **official pretrained checkpoint** for **SFHand**, a streaming framework for **language-guided 3D hand forecasting and embodied manipulation**.
+This repository provides the **official pretrained checkpoint** for **SFHand**, a streaming framework for **language-guided 3D hand forecasting and embodied manipulation**, as introduced in the paper [SFHand: Learning Embodied Manipulation by Streaming Egocentric 3D Hand Forecasting](https://huggingface.co/papers/2511.18127).
 
 ---
 
 ## 🔗 Project Links
 
-[![Paper](https://img.shields.io/badge/Paper-B31B1B?style=for-the-badge\&logo=arxiv\&logoColor=white)](https://arxiv.org/pdf/2511.18127)
-[![Data](https://img.shields.io/badge/Data-0040A1?style=for-the-badge\&logo=huggingface\&logoColor=ffffff)](https://huggingface.co/datasets/ut-vision/EgoHaFL)
-[![GitHub](https://img.shields.io/badge/GitHub-000000?style=for-the-badge\&logo=github\&logoColor=ffffff)](https://github.com/ut-vision/SFHand)
+- **Paper:** [arXiv:2511.18127](https://arxiv.org/abs/2511.18127)
+- **GitHub:** [ut-vision/SFHand](https://github.com/ut-vision/SFHand)
+- **Dataset:** [EgoHaFL](https://huggingface.co/datasets/ut-vision/EgoHaFL)
+
+---
+
+## 📝 Introduction
+
+SFHand is the first streaming architecture for language-guided 3D hand forecasting. It autoregressively predicts future hand dynamics from continuous egocentric video and text instructions, outputting hand type, 2D bounding boxes, 3D poses, and 3D trajectories. 
+
+Key features include:
+- **Streaming Framework:** Autoregressive multi-modal hand forecasting.
+- **ROI-Enhanced Memory:** Captures temporal hand awareness while focusing on salient regions.
+- **Embodied Ready:** Representations transfer effectively to downstream manipulation tasks.
+
+---
+
+## 🚀 Evaluation and Visualization
+
+To evaluate the model and generate visualizations using this checkpoint, you can run the following command from the [official repository](https://github.com/ut-vision/SFHand):
+
+```bash
+python main.py --config_file configs/config/clip_base_eval.yml --eval --vis
+```
+
+Output visualizations will be saved to the `./render_results/` directory.
 
 ---
 
@@ -20,11 +44,11 @@ This repository provides the **official pretrained checkpoint** for **SFHand**,
 
 If you use this model or find SFHand helpful in your research, please cite:
 
-```latex
+```bibtex
 @article{liu2025sfhand,
   title={SFHand: A Streaming Framework for Language-guided 3D Hand Forecasting and Embodied Manipulation},
-  author={Liu, Ruicong and Huang, Yifei and Ouyang, Liangyang and Kang, Caixin and and Sato, Yoichi},
+  author={Liu, Ruicong and Huang, Yifei and Ouyang, Liangyang and Kang, Caixin and Sato, Yoichi},
   journal={arXiv preprint arXiv:2511.18127},
   year={2025}
 }
-```
+```