cvpr18-Avatar-Net Multi-Scale Zero-Shot Style Transfer by Feature Decoration.pdf
Abstract
Zero-shot artistic style transfer is an important image
synthesis problem aiming at transferring arbitrary style into
content images. However, the trade-off between the generalization and efficiency in existing methods impedes a high
quality zero-shot style transfer in real-time. In this paper, we resolve this dilemma and propose an efficient yet
effective Avatar-Net that enables visually plausible multiscale transfer for arbitrary style. The key ingredient of our
method is a style decorator that makes up the content features by semantically aligned style features from an arbitrary style image, which does not only holistically match
their feature distributions but also preserve detailed style
patterns in the decorated features. By embedding this module into an image reconstruction network that fuses multiscale style abstractions, the Avatar-Net renders multi-scale
stylization for any style image in one feed-forward pass.
We demonstrate the state-of-the-art effectiveness and effi-
ciency of the proposed method in generating high-quality
stylized images, with a series of successive applications include multiple style integration, video stylization and etc