Update README.md

README.md

@@ -1,3 +1,52 @@
----
-license: cc-by-nc-sa-4.0
----
+---
+license: cc-by-nc-sa-4.0
+---
+
+# 4DGT Model Card
+
+## Model Details
+
+4DGT (4D Gaussian Transformer) is a neural network model that learns dynamic 3D Gaussian representations from monocular videos. It uses a transformer-based architecture to predict 4D Gaussians from a dynamic scenes observed from an egocentric video.
+
+- **Paper:** [4DGT: Learning a 4D Gaussian Transformer Using Real-World Monocular Videos](https://arxiv.org/abs/2506.08015)
+- **Project Page:** [https://4dgt.github.io/](https://4dgt.github.io/)
+- **Github:** [GitHub repository](https://github.com/facebookresearch/4dgt)
+
+Please refer to the project page and github for more details of the model. 
+
+## Citation
+
+```bibtex
+@inproceedings{xu20254dgt,
+    title     = {4DGT: Learning a 4D Gaussian Transformer Using Real-World Monocular Videos},
+    author    = {Xu, Zhen and Li, Zhengqin and Dong, Zhao and Zhou, Xiaowei and Newcombe, Richard and Lv, Zhaoyang},
+    journal   = {arXiv preprint arXiv:2506.08015},
+    year      = {2025}
+}
+```
+
+## Model Files
+
+### Checkpoint: `4dgt_full.pth`
+- **Size:** ~14.5 GB
+- **Format:** PyTorch state dict
+- **Contents:**
+  - The full model trained as described in the paper.
+  - Encoder weights (DINOv2 backbone)
+  - Level of Details Transformer 
+  - 4D Gaussian Decoder 
+
+### Checkpoint: `4dgt_1st_stage.pth`
+- **Size:** ~4.85 GB
+- **Format:** PyTorch state dict
+- **Contents:**
+  - The first stage model trained only using Egoexo4D dataset as described in the paper. 
+  - Encoder weights (DINOv2 backbone)
+  - Vanilla Transformer, no level of details. 
+  - 4D Gaussian Decoder
+
+## Quick Start
+Please refer to [4DGT GitHub repository](https://github.com/facebookresearch/4dgt) for the full set up. 
+
+## Contact
+For questions and issues, please open an issue on the [GitHub repository](https://github.com/facebookresearch/4dgt).