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README.md

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----
-license: mit
----
+---
+license: mit
+tags:
+- embodied-ai
+- representation-learning
+- spatial awareness
+- spatial intelligence
+---
+
+# Model Card for SPA: 3D Spatial-Awareness Enables Effective Embodied Representation
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+Pre-trained checkpoints of [SPA](https://haoyizhu.github.io/spa/).
+
+SPA is a novel representation learning framework that emphasizes the importance of 3D spatial awareness in embodied AI. 
+It leverages differentiable neural rendering on multi-view images to endow a vanilla Vision Transformer (ViT) with 
+intrinsic spatial understanding. We also present the most comprehensive evaluation of embodied representation learning to date, 
+covering 268 tasks across 8 simulators with diverse policies in both single-task and language-conditioned multi-task scenarios.
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [Haoyi Zhu](https://www.haoyizhu.site/)
+- **Model type:** Embodied AI Representation Learning
+- **Encoder (Backbone) type:** Vision Transformer (ViT)
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [https://github.com/HaoyiZhu/SPA](https://github.com/HaoyiZhu/SPA)
+- **Paper:** [Arxiv (Coming Soon)]()
+- **Project Page:** [https://haoyizhu.github.io/spa/](https://haoyizhu.github.io/spa/)
+
+## Citation
+```bib
+@article{zhu2024spa,
+    title = {SPA: 3D Spatial-Awareness Enables Effective Embodied Representation},
+    author = {Zhu, Haoyi and and Yang, Honghui and Wang, Yating and Yang, Jiange and Wang, Limin and He, Tong},
+    journal = {arXiv preprint},
+    year = {2024},
+}
+```