Study of UV Skin Image Generation from an RGB Color Image with Deep Learning for Beauty Industries

Skin visualization for beauty industries using deep learning is discussed. UV skin images were taken by a medical dermoscopy digital camera, and we created datasets for training. Neural networks called U-net and convolutional autoencoder were constructed and trained with our datasets. Once our neural network was trained, skin images that approximated the UV image could be generated without the medical camera. The performance of our U-net and convolutional autoencoder is discussed.