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Cambrian-S: Towards Spatial Supersensing in Video
| Date | Stars |
|---|---|
| 2026-07-24 | 562 |
| 2026-07-25 | 563 |
| 2026-07-28 | 563 |
| 2026-07-30 | 564 |
| 2026-08-06 | 564 |
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# <img src="figs/tesseract.png" alt="Cambrian-S" width="28" height="28" style="vertical-align: middle;"> *Cambrian-S*:<br> Towards Spatial Supersensing in Video
<p>
<img src="figs/feature.png" alt="Cambrian-S" width="800" height="auto">
</p>
<a href="https://arxiv.org/abs/2511.04670" target="_blank">
<img alt="arXiv" src="https://img.shields.io/badge/arXiv-Cambrian--S-red?logo=arxiv" height="25" />
</a>
<a href="https://cambrian-mllm.github.io/cambrian-s/" target="_blank">
<img alt="Website" src="https://img.shields.io/badge/🌎_Website-cambrian--mllm.github.io-blue" height="25" />
</a>
<a href="https://huggingface.co/collections/nyu-visionx/cambrian-s-models" target="_blank">
<img alt="HF Model: Cambrian-S" src="https://img.shields.io/badge/%F0%9F%A4%97%20_Model-Cambrian--S-ffc107?color=ffc107&logoColor=white" height="25" />
</a>
<a href="https://huggingface.co/datasets/nyu-visionx/VSI-590K" target="_blank">
<img alt="HF Dataset: VSI-590K" src="https://img.shields.io/badge/%F0%9F%A4%97%20_Data-VSI--590K-ffc107?color=ffc107&logoColor=white" height="25" />
</a>
<a href="https://huggingface.co/collections/nyu-visionx/vsi-super" target="_blank">
<img alt="HF Dataset: VSI-Super" src="https://img.shields.io/badge/%F0%9F%A4%97%20_Benchmark-VSI--Super-ffc107?color=ffc107&logoColor=white" height="25" />
</a>
<div style="font-family: charter;">
<a href="https://github.com/vealocia" target="_blank">Shusheng Yang*</a>,
<a href="https://jihanyang.github.io/" target="_blank">Jihan Yang*</a>,
<a href="https://pinzhihuang.github.io/" target="_blank">Pinzhi Huang†</a>,
<a href="https://ellisbrown.github.io/" target="_blank">Ellis Brown†</a>,
<a href="https://redagavin.github.io/" target="_blank">Zihao Yang</a>,
<br>
<a href="https://github.com/czyuyue" target="_blank">Yue Yu</a>,
<a href="https://tsb0601.github.io/" target="_blank">Shengbang Tong</a>,
<a href="#" target="_blank">Zihan Zheng</a>,
<a href="https://www.yfxu.com/" target="_blank">Yifan Xu</a>,
<a href="https://github.com/wang-muhan" target="_blank">Muhan Wang</a>,
<a href="https://daohanlu.github.io/" target="_blank">Daohan Lu</a>,
<br>
<a href="https://cs.nyu.edu/~fergus/pmwiki/pmwiki.php" target="_blank">Rob Fergus</a>,
<a href="http://yann.lecun.com/" target="_blank">Yann LeCun</a>,
<a href="https://profiles.stanford.edu/fei-fei-li" target="_blank">Li Fei-Fei</a>,
<a href="https://www.sainingxie.com/" target="_blank">Saining Xie</a>
</div>
<div style="font-family: charter;">
*Equal Contribution †Core Contributor
</div>
</div>
## Release
- [Apr 3, 2026] 🚀 Meta information of our curated VSI-590K dataset is released here [VSI-590K-MetaInfo](https://huggingface.co/datasets/nyu-visionx/VSI-590K-MetaInfo).
- [Dec 21, 2025] 🚀 [Cambrian-S-3M](https://huggingface.co/datasets/nyu-visionx/Cambrian-S-3M) (our collection of 3M open-sourced video instruction tuning data) is now available! Please check it out!
- [Nov 6, 2025] 🔥 We release Cambrian-S model weights, training code, and evaluation suite.
- [Nov 6, 2025] 🔥 We release VSI-SUPER, a benchmark designed for spatial supersensing.
- [Nov 6, 2025] 🔥 We release VSI-590K, a dataset curated for spatial sensing.
## Contents
- [ *Cambrian-S*: Towards Spatial Supersensing in Video](#-cambrian-s-towards-spatial-supersensing-in-video)
- [Release](#release)
- [Contents](#contents)
- [Cambrian-S Weights](#cambrian-s-weights)
- [General Model Performance](#general-model-performance)
- [VSI-SUPER Performance](#vsi-super-performance)
- [Model Card](#model-card)
- [Model Trained with Predictive Sensing](#model-trained-with-predictive-sensing)
- [Standard MLLM Models](#standard-mllm-models)
- [VSI-590K Dataset](#vsi-590k-dataset)
- [Train](#train)
- [Evaluation](#evaluation)
- [Citation](#citation)
- [Related Projects](#related-projects)
## Cambrian-S Weights
Here are ouExcerpt of 12,114 characters
Read on GitHub12
3
Ellis Brown · @NYU · United States
1
Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:cba7156bbd092c18, topic:llm, readme:model weights, readme:model card
matched fp:cba7156bbd092c18, topic:computer-vision
matched fp:cba7156bbd092c18, topic:vision-language-model