TIFS2025-DD-rPPGNet

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TIFS2025-DD-rPPGNet

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# DD-rPPGNet

### DD-rPPGNet: De-interfering and Descriptive Feature Learning for Unsupervised rPPG Estimation

## Illustration of de-interferenced feature learning in unsupervised rPPG estimation.

<img src="figures/idea.png" width="1000"/>

## Architecture of DD-rPPGNet

<img src="figures/framework.png" width="1000"/>

## Prerequisite
Please check `requirement.txt` for the required Python libraries.

## Training & Testing
Please make sure your dataset is processed and modify the code in `dataloader.py`, `train.py` and `test.py`.
Once the code is updated, you can run `train.sh` directly to start training and testing."

## Acknowledgment of Outstanding Contributions
I am deeply grateful to Ya-Ting Chan for her outstanding contributions to this work.

<!-- 
## Citation
If you use the DD-rPPGNet, please cite the paper, thank you:

```
@article{xxx,
  title={DD-rPPGNet: De-interfering and Descriptive Feature Learning for Unsupervised rPPG Estimation},
  author={xxx},
  year={202x}
}
```
-->

TIFS2025-DD-rPPGNet

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