12.15

README.md

@@ -1,15 +1,17 @@
----
-license: cc-by-nc-4.0
----
 # SAGE-3D InteriorGS USDZ: USDZ-Format 3D Gaussian Scenes for Isaac Sim
 
 InteriorGS dataset converted to USDZ format for seamless integration with NVIDIA Omniverse and Isaac Sim platforms.
 
+<div align="center">
+  <img src="./src/SAGE-3D_InteriorGS_usdz.png" alt="SAGE-3D InteriorGS usdz">
+  <p><em>USDZ format InteriorGS data captured on Issac Sim 5.0.</em></p>
+</div>
+
 ---
 
 ## 📢 News
 
-- **2025-12-12**: Released SAGE-3D InteriorGS USDZ dataset with 1,000 converted scenes.
+- **2025-12-15**: Released SAGE-3D InteriorGS USDZ dataset with 1,000 converted scenes.
 
 ---
 
@@ -34,9 +36,8 @@ InteriorGS compressed PLY → Decompressed PLY → USDZ (3DGRUT)
 The USDZ format uses an extension of the `UsdVolVolume` Schema specifically designed for 3D Gaussian rendering in Isaac Sim, enabling:
 
 **Real-time rendering** - Leverage Isaac Sim's optimized 3DGS renderer  
-**Physics simulation** - Combine with collision meshes for embodied AI  
-**Platform compatibility** - Work with Omniverse ecosystem tools  
-**No format conversion** - Direct import into Isaac Sim workflows
+**Physics simulation** - Combine with [collision meshes](https://huggingface.co/datasets/spatialverse/InteriorGS) for embodied AI  
+**Platform compatibility** - Work with Omniverse ecosystem tools
 
 ---
 
@@ -70,7 +71,7 @@ This dataset is part of the **SAGE-3D** project:
    → [spatialverse/SAGE-3D_Collision_Mesh](https://huggingface.co/datasets/spatialverse/SAGE-3D_Collision_Mesh)
 
 4. **SAGE-3D VLN Data**: Navigation trajectories and instructions  
-   → [spatialverse/SAGE-3D_VLN_Data](https://huggingface.co/datasets/spatialverse/SAGE-3D_VLN_Data) *(Coming soon)*
+   → [spatialverse/SAGE-3D_VLN_Data](https://huggingface.co/datasets/spatialverse/SAGE-3D_VLN_Data)
 
 ---
 
@@ -80,7 +81,7 @@ This dataset is released under CC-BY-NC-4.0.
 
 ---
 
-## 🏆 Citation
+## 📜 Citation
 
 If you use SAGE-3D InteriorGS USDZ in your research, please cite:
 
@@ -97,7 +98,7 @@ If you use SAGE-3D InteriorGS USDZ in your research, please cite:
 }
 ```
 
-**InteriorGS Dataset:**
+Please also cite the InteriorGS dataset:
 ```bibtex
 @misc{InteriorGS2025,
   title        = {InteriorGS: A 3D Gaussian Splatting Dataset of Semantically Labeled Indoor Scenes},
@@ -107,16 +108,6 @@ If you use SAGE-3D InteriorGS USDZ in your research, please cite:
 }
 ```
 
-**3DGRUT Conversion Tool:**
-```bibtex
-@article{wu20253dgut,
-  title={3DGUT: Enabling Distorted Cameras and Secondary Rays in Gaussian Splatting},
-  author={Wu, Qi and Martinez Esturo, Janick and Mirzaei, Ashkan and Moenne-Loccoz, Nicolas and Gojcic, Zan},
-  journal={Conference on Computer Vision and Pattern Recognition (CVPR)},
-  year={2025}
-}
-```
-
 ---
 
 ## 🤝 Acknowledgments
@@ -128,6 +119,4 @@ Format conversion was performed using NVIDIA's [3DGRUT library](https://github.c
 
 <div align="center">
   <strong>SAGE-3D: Semantically and Physically-Aligned Gaussian Environments for 3D Navigation</strong>
-  <br>
-  Making 3D Gaussian Splatting Physically Executable
-</div>
+</div>