Add robotics pipeline tag and improve model card

README.md

@@ -1,17 +1,39 @@
 ---
+pipeline_tag: robotics
 tags:
 - RGB-D SLAM
-
+- dense-reconstruction
+- camera-tracking
 ---
 
-[ICRA 2026] PROFusion: Robust and Accurate Dense Reconstruction via Camera Pose Regression and Optimization
+# PROFusion: Robust and Accurate Dense Reconstruction via Camera Pose Regression and Optimization
+
+[ICRA 2026] PROFusion is a simple yet effective system for real-time camera tracking and dense scene reconstruction, providing both robustness against unstable camera motions and accurate reconstruction results.
+
+This repository contains pre-trained weights for the **pose regression module**, which estimates the relative camera pose (in metric-scale) between two RGB-D frames.
+
+- **Paper:** [PROFusion: Robust and Accurate Dense Reconstruction via Camera Pose Regression and Optimization](https://arxiv.org/abs/2509.24236)
+- **Code:** [GitHub Repository](https://github.com/siyandong/PROFusion)
+
+## Method Overview
+
+Real-time dense scene reconstruction during unstable camera motions is crucial for robotics, yet current RGB-D SLAM systems often fail when cameras experience large viewpoint changes, fast motions, or sudden shaking. PROFusion addresses this challenge through a combination of learning-based initialization with optimization-based refinement. 
+
+The system employs a camera pose regression network to predict metric-aware relative poses from consecutive RGB-D frames, which serve as reliable starting points for a randomized optimization algorithm that further aligns depth images with the scene geometry. The system operates in real-time, showcasing that combining simple and principled techniques can achieve both robustness for unstable motions and accuracy for dense reconstruction.
+
+## Citation
 
-PROFusion is a simple yet effective system for real-time camera tracking and dense scene reconstruction, 
-providing both robustness against unstable camera motions and accurate reconstruction results.
+If you find this work helpful in your research, please consider citing: 
 
-This repository contains pre-trained weights for the pose regression module, 
-which estimates the relative camera pose (in metric-scale) between two RGB-D frames.
+```bibtex
+@article{dong2025profusion,
+  title={PROFusion: Robust and Accurate Dense Reconstruction via Camera Pose Regression and Optimization},
+  author={Dong, Siyan and Wang, Zijun and Cai, Lulu and Ma, Yi and Yang, Yanchao},
+  journal={arXiv preprint arXiv:2509.24236},
+  year={2025}
+}
+```
 
-Paper: https://arxiv.org/abs/2509.24236
+## Acknowledgments
 
-Code: https://github.com/siyandong/PROFusion
+The implementation is based on several inspiring works in the community, including [DUSt3R](https://github.com/naver/dust3r), [SLAM3R](https://github.com/PKU-VCL-3DV/SLAM3R), [Reloc3r](https://github.com/ffrivera0/reloc3r), and [ROSEFusion](https://github.com/jzhzhang/ROSEFusion).