# TartanRGBT Payload

This repositry acts as storage to store the #D print files for the TartanRGBT paylaod as introduced in the paper - AnyThermal: Towards Learning Universal Representations for Thermal Perception. 

Feel free to raise an issue if you have any questions regarding the files or the design. I will try to resolve them as soon as possible.

Project Link - [https://anythermal.github.io/](https://anythermal.github.io/)

Please refer to the [assembly instructions](https://docs.google.com/document/d/1X5Av5y16SZzcaHOHzIiit1tz_KwJjkek2Er0iPeW7_g/edit?usp=sharing) found here for more detail on how to print and assemble the payload -

## Citation 

If you found this repo to be helpful, please give us a star and consider citing our work 

```
@misc{maheshwari2026anythermallearninguniversalrepresentations,
      title={AnyThermal: Towards Learning Universal Representations for Thermal Perception}, 
      author={Parv Maheshwari and Jay Karhade and Yogesh Chawla and Isaiah Adu and Florian Heisen and Andrew Porco and Andrew Jong and Yifei Liu and Santosh Pitla and Sebastian Scherer and Wenshan Wang},
      year={2026},
      eprint={2602.06203},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2602.06203}, 
}
```