Datasets:
ArXiv:
License:
Update README.md
Browse files
README.md
CHANGED
|
@@ -1,3 +1,43 @@
|
|
| 1 |
---
|
| 2 |
license: mit
|
| 3 |
---
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
---
|
| 2 |
license: mit
|
| 3 |
---
|
| 4 |
+
|
| 5 |
+
<p align="center">
|
| 6 |
+
<h1 align="center">EmbodiedSplat 🛋️<br>
|
| 7 |
+
Online Feed-Forward Semantic 3DGS <br>
|
| 8 |
+
for Open-Vocabulary 3D Scene Understanding</h1>
|
| 9 |
+
<p align="center">
|
| 10 |
+
<a href="https://www.linkedin.com/in/seungjun-lee-43101a261/">Seungjun Lee</a></span> ·
|
| 11 |
+
<a href="https://scholar.google.com/citations?user=7rf6Bw4AAAAJ&hl=en">Zihan Wang</a></span> ·
|
| 12 |
+
<a href="https://wangys16.github.io">Yunsong Wang</a></span> ·
|
| 13 |
+
<a href="https://www.comp.nus.edu.sg/~leegh/">Gim Hee Lee</a><sup></sup> <br>
|
| 14 |
+
National University of Singapore<br>
|
| 15 |
+
</p>
|
| 16 |
+
<h2 align="center">CVPR 2026</h2>
|
| 17 |
+
<h3 align="center"><a href="https://github.com/0nandon/EmbodiedSplat">Code</a> | <a href="https://arxiv.org/pdf/2603.04254">Paper</a> | <a href="https://0nandon.github.io/EmbodiedSplat/">Project Page</a> </h3>
|
| 18 |
+
<div align="center">
|
| 19 |
+
<a href="https://pytorch.org/get-started/locally/"><img alt="PyTorch" src="https://img.shields.io/badge/PyTorch-ee4c2c?logo=pytorch&logoColor=white"></a>
|
| 20 |
+
<a href="https://pytorchlightning.ai/"><img alt="Lightning" src="https://img.shields.io/badge/-Lightning-792ee5?logo=pytorchlightning&logoColor=white"></a>
|
| 21 |
+
</div>
|
| 22 |
+
</p>
|
| 23 |
+
|
| 24 |
+
<p align="center">
|
| 25 |
+
<a href="">
|
| 26 |
+
<img src="https://github.com/0nandon/EmbodiedSplat/blob/main/static/teaser.png" alt="Logo" width="100%">
|
| 27 |
+
</a>
|
| 28 |
+
</p>
|
| 29 |
+
<p align="center">
|
| 30 |
+
<strong>Build and understand at Once!</strong> By taking over 300 streaming images, our <strong>EmbodiedSplat</strong> reconstructs whole-scene open-vocabulary 3DGS in online manner at up to 5-6 FPS per-frame processing time. Reconstructed scene supports diverse perception tasks such as open-vocabulary 3D semantic segmentation, 2D-rendered semantic segmentation and novel-view color synthesis with depth rendering.
|
| 31 |
+
</p>
|
| 32 |
+
|
| 33 |
+
|
| 34 |
+
## Citation
|
| 35 |
+
If you find our code or paper useful, please cite
|
| 36 |
+
```bibtex
|
| 37 |
+
@article{lee2026embodiedsplat,
|
| 38 |
+
title={EmbodiedSplat: Online Feed-Forward Semantic 3DGS for Open-Vocabulary 3D Scene Understanding},
|
| 39 |
+
author={Lee, Seungjun and Wang, Zihan and Wang, Yunsong and Lee, Gim Hee},
|
| 40 |
+
journal={arXiv preprint arXiv:2603.04254},
|
| 41 |
+
year={2026}
|
| 42 |
+
}
|
| 43 |
+
```
|