Jungah Son
Prototype
2nd floor
Style transfer is a machine learning technique for transferring the "style" of a source image onto a target image, while preserving the content of the target image. So far, existing applications are limited to images trivial in content and structure. In this project, we investigate how style transfer can be applied to images that contain more complex objects, such as George Legrady’s Urban Nature series.