About this document
Neural Style Transfer Overview by suudfiin is a document available to read on EtoBox.
This document proposes a neural algorithm for transferring artistic style between images using convolutional neural networks. It summarizes that previous non-parametric texture transfer algorithms could not separate image content from style. The proposed method uses representations from CNNs trained for object recognition, which can independently model image content and style. It introduces a method that synthesizes new images combining the content of one image with the style of another by optimizing CNN ac
- Author
- suudfiin
- Language
- EN