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License:
| license: mit | |
| <p align="center"> | |
| <h1 align="center">EmbodiedSplat 🛋️<br> | |
| Online Feed-Forward Semantic 3DGS <br> | |
| for Open-Vocabulary 3D Scene Understanding</h1> | |
| <p align="center"> | |
| <a href="https://www.linkedin.com/in/seungjun-lee-43101a261/">Seungjun Lee</a></span> · | |
| <a href="https://scholar.google.com/citations?user=7rf6Bw4AAAAJ&hl=en">Zihan Wang</a></span> · | |
| <a href="https://wangys16.github.io">Yunsong Wang</a></span> · | |
| <a href="https://www.comp.nus.edu.sg/~leegh/">Gim Hee Lee</a><sup></sup> <br> | |
| National University of Singapore<br> | |
| </p> | |
| <h2 align="center">CVPR 2026</h2> | |
| <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> | |
| <div align="center"> | |
| <a href="https://pytorch.org/get-started/locally/"><img alt="PyTorch" src="https://img.shields.io/badge/PyTorch-ee4c2c?logo=pytorch&logoColor=white"></a> | |
| <a href="https://pytorchlightning.ai/"><img alt="Lightning" src="https://img.shields.io/badge/-Lightning-792ee5?logo=pytorchlightning&logoColor=white"></a> | |
| </div> | |
| </p> | |
| <p align="center"> | |
| <a href=""> | |
| <img src="teaser.png" alt="Logo" width="100%"> | |
| </a> | |
| </p> | |
| <p align="center"> | |
| <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. | |
| </p> | |
| ## Citation | |
| If you find our code or paper useful, please cite | |
| ```bibtex | |
| @article{lee2026embodiedsplat, | |
| title={EmbodiedSplat: Online Feed-Forward Semantic 3DGS for Open-Vocabulary 3D Scene Understanding}, | |
| author={Lee, Seungjun and Wang, Zihan and Wang, Yunsong and Lee, Gim Hee}, | |
| journal={arXiv preprint arXiv:2603.04254}, | |
| year={2026} | |
| } | |
| ``` | |