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[ECCV 2026] Habitat-GS: A High-Fidelity Navigation Simulator with Dynamic Gaussian Splatting
| Date | Stars |
|---|---|
| 2026-07-24 | 252 |
| 2026-07-25 | 253 |
| 2026-07-28 | 256 |
| 2026-07-30 | 256 |
| 2026-08-06 | 256 |
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<source media="(prefers-color-scheme: dark)" srcset="docs/gs_assets/logo_black.png">
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<img alt="Habitat-GS" src="docs/gs_assets/logo_black.png" width="50%">
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A High-Fidelity Navigation Simulator with Dynamic Gaussian Splatting
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<sub>ECCV 2026</sub>
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<a href="https://arxiv.org/abs/2604.12626"><img src='https://img.shields.io/badge/arXiv-Habitat--GS-red' alt='Paper PDF'></a>
<a href='https://zju3dv.github.io/habitat-gs/'><img src='https://img.shields.io/badge/Project_Page-Habitat--GS-orange' alt='Project Page'></a>
<a href="https://huggingface.co/datasets/RukawaY/gs_scenes"><img src='https://img.shields.io/badge/%F0%9F%A4%97%20Hugging_Face-GS_Dataset-blue' alt='Hugging Face'></a>
<a href="docs/gs_assets/wechat.png">
<img src="https://img.shields.io/badge/WeChat-Group-green?logo=wechat&logoColor=green">
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<a href="https://ziyuan-xia.com">Ziyuan Xia</a> •
<a href="https://github.com/echo636">Jingyi Xu</a> •
<a href="https://github.com/Kinchite17">Chong Cui</a> •
<a href="https://yuanhongyu.xyz">Yuanhong Yu</a> •
<a href="https://jzhzhang.github.io">Jiazhao Zhang</a> •
<a href="https://yanqswhu.top">Qingsong Yan</a> •
<a href="https://orcid.org/0000-0002-8676-6546">Tao Ni</a> <br>
<a href="https://scholar.google.com/citations?user=4YOIYGwAAAAJ&hl=en">Junbo Chen</a> •
<a href="https://xzhou.me">Xiaowei Zhou</a> •
<a href="http://www.cad.zju.edu.cn/home/bao/">Hujun Bao</a> •
<a href="https://csse.szu.edu.cn/staff/ruizhenhu/">Ruizhen Hu</a> •
<a href="https://pengsida.net/">Sida Peng</a>
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<video src="https://github.com/user-attachments/assets/1d971739-3507-4667-b9c1-f9debd64ea76" controls width="600"></video>
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## 📢 News
> **[2026-06]** 🎉 Habitat-GS is accepted to ECCV 2026! See you in Malmö!
> **[2026-05]** 🎉 Try our [NavMesh editing tool](https://github.com/zju3dv/habitat-gs/blob/main/web_tools/README.md#navmesh_editor)! It closes the loop from a raw 3DGS scene to navigable simulation (**3DGS → NavMesh → simulation**): draw/edit the walkable area on the 3DGS scene in your browser, bake a Habitat NavMesh, and use it for navigation in Habitat-GS.
> **[2026-05]** 🎉 [GS dataset](https://huggingface.co/datasets/RukawaY/gs_scenes) is expanded with 64 [InteriorGS](https://huggingface.co/datasets/spatialverse/InteriorGS) scenes! Now 129 scenes in total!
> **[2026-04]** 🎉 [GS dataset](https://huggingface.co/datasets/RukawaY/gs_scenes) is updated! We provide 65 high-quality GS scenes, as well as episodes and trajectories for training and evaluation!
> **[2026-04]** 🎉 Paper, project page, code and dataset of Habitat-GS are released! Check it out!
## 🧭 What Is Habitat-GS and What Can Habitat-GS Do?
`Habitat-GS` is a non-intrusive extension of [Habitat-Sim](https://github.com/facebookresearch/habitat-sim) for embodied navigation tasks in Gaussian Splatting scenes. It keeps [Habitat](https://aihabitat.org)'s standard scene dataset abstraction, NavMesh/pathfinding, agent control, and [Habitat-Lab]((https://github.com/facebookresearch/habitat-lab)) integration, while extending the rendering backbone to support [3D Gaussian Splatting](https://github.com/graphdeco-inria/gaussian-splatting), and incorporating a dynamic gaussian avatar module to drive humanoid gaussian avatars.
In practice, Habitat-GS can:
- render photo-realistic GS scenes with Habitat RGB and depth sensors;
- support driving dynamic Gaussian avatars from [GaussianAvatar](https://github.com/aipixel/GaussianAvatar) and [AnimatableGaussians](https://github.com/lizhe00/AnimatableGaussians) in simulation environments;
- plug into Habitat-Lab for training and evaluation with the same scene dataset format.
Compared with traditional mesh-based simulators, Habitat-GS can Excerpt of 44,959 characters
Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:3b376b029fa359b0, topic:computer-vision, topic:gaussian-splatting, desc:gaussian splatting
matched fp:3b376b029fa359b0, topic:robotics, topic:embodied-ai, readme:humanoid