Add model card for JOintGS

README.md

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+---
+pipeline_tag: image-to-3d
+license: cc-by-nc-sa-4.0
+---
+
+# JOintGS: Joint Optimization of Cameras, Bodies and 3D Gaussians for In-the-Wild Monocular Reconstruction
+
+This repository contains the pre-trained checkpoints for **JOintGS**, a unified framework that jointly optimizes camera extrinsics, human poses, and 3D Gaussian representations for robust, animatable 3D human avatar reconstruction from monocular video with coarse initialization.
+
+- **Paper:** [JOintGS: Joint Optimization of Cameras, Bodies and 3D Gaussians for In-the-Wild Monocular Reconstruction](https://huggingface.co/papers/2602.04317)
+- **Repository:** [https://github.com/MiliLab/JOintGS](https://github.com/MiliLab/JOintGS)
+
+## Introduction
+
+Reconstructing high-fidelity animatable 3D human avatars from monocular RGB videos remains challenging, particularly in unconstrained in-the-wild scenarios where camera parameters and human poses from off-the-shelf methods (e.g., COLMAP, HMR2.0) are often inaccurate. 
+
+JOintGS enables a synergistic refinement mechanism where explicit foreground-background disentanglement allows mutual reinforcement: static background Gaussians anchor camera estimation via multi-view consistency; refined cameras improve human body alignment through accurate temporal correspondence; and optimized human poses enhance scene reconstruction by removing dynamic artifacts from static constraints.
+
+## License
+
+- **Source Code**: The software in the associated GitHub repository is licensed under the [MIT License](https://github.com/MiliLab/JOintGS/blob/main/LICENSE).
+- **Model Weights**: The pre-trained checkpoints in this repository are released under the [CC BY-NC-SA 4.0 License](https://creativecommons.org/licenses/by-nc-sa/4.0/).
+
+## Citation
+
+```bibtex
+@article{jointgs2026,
+  title={JOintGS: Joint Optimization of Cameras, Bodies and 3D Gaussians for In-the-Wild Monocular Reconstruction},
+  author={Jiuhai Chen and others},
+  journal={arXiv preprint arXiv:2602.04317},
+  year={2026}
+}
+```