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kjysmu authored Oct 27, 2023
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Expand Up @@ -12,18 +12,6 @@ we propose a novel AI-powered multimodal music generation framework called Video

![](framework.png)

If you find this resource useful, [please cite the original work](https://arxiv.org/abs/XXX):

@article{XXX,
title={Music Generation to Match Video using an Affective Multimodal Transformer model},
author={Kang, Jaeyong and Poria, Soujanya and Herremans, Dorien},
journal={arXiv preprint arXiv:XXX},
year={2023}
}

Kang, J., Poria, S. & Herremans, D. (2023). Music Generation to Match Video using an Affective Multimodal Transformer model. arXiv preprint arXiv:XXX.


## Directory Structure

* `saved_models/`: saved model files
Expand Down Expand Up @@ -67,3 +55,15 @@ If you find this resource useful, [please cite the original work](https://arxiv.
python generate.py
```

## Citation
If you find this resource useful, [please cite the original work](https://arxiv.org/abs/XXX):

@article{XXX,
title={Music Generation to Match Video using an Affective Multimodal Transformer model},
author={Kang, Jaeyong and Poria, Soujanya and Herremans, Dorien},
journal={arXiv preprint arXiv:XXX},
year={2023}
}

Kang, J., Poria, S. & Herremans, D. (2023). Music Generation to Match Video using an Affective Multimodal Transformer model. arXiv preprint arXiv:XXX.

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