Update README.md

README.md

@@ -4,8 +4,41 @@ tags:
 - image-to-3d
 - model_hub_mixin
 - pytorch_model_hub_mixin
+license: mit
 ---
 
-This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) integration:
-- Library: https://github.com/junyi/monst3r
-- Docs: [More Information Needed]
+## MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion
+
+<video controls>
+  <source src="https://monst3r-project.github.io/files/teaser_vid_v2_lowres.mp4" type="video/mp4">
+  Your browser does not support the video tag.
+</video>
+
+```bibtex
+@article{zhang2024monst3r,
+  author    = {Zhang, Junyi and Herrmann, Charles and Hur, Junhwa and Jampani, Varun and Darrell, Trevor and Cole, Forrester and Sun, Deqing and Yang, Ming-Hsuan},
+  title     = {MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion},
+  journal   = {arXiv preprint arxiv:2410.03825},
+  year      = {2024}
+}
+```
+
+# Model info
+
+- GitHub page: https://github.com/junyi/monst3r
+- Project page: https://monst3r-project.github.io/
+- Paper: https://arxiv.org/abs/2410.03825
+
+# How to use
+
+First, [install monst3r](https://github.com/junyi42/monst3r).
+To load the model:
+
+```python
+from dust3r.model import AsymmetricCroCo3DStereo
+import torch
+
+model = AsymmetricCroCo3DStereo.from_pretrained("Junyi42/MonST3R_PO-TA-S-W_ViTLarge_BaseDecoder_512_dpt")
+
+device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
+model.to(device)