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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} } ``` -->
