Abstract:
Neural style transfer aims at transforming the artistic style of a painting into a photograph. The classic methods are based on the one-to-one principle, where stylizatio...Show MoreMetadata
Abstract:
Neural style transfer aims at transforming the artistic style of a painting into a photograph. The classic methods are based on the one-to-one principle, where stylization is performed based on a single style image. In the paper, an approach is proposed that allows transferring the style based on multiple images of the same reference painter multiplied, in addition, by data augmentation. Comparing to the original method, the proposed approach produces visibly better results, and allows for greater flexibility in the transferring process. The proposed many-to-one method is illustrated by an example of transferring the style of two Polish painters using the same content image
Date of Conference: 08-10 July 2021
Date Added to IEEE Xplore: 17 September 2021
ISBN Information: