Exact Feature Distribution Matching for Arbitrary Style Transfer and Domain Generalization
Exact Feature Distribution Matching for Arbitrary Style Transfer and Domain Generalization
Arbitrary style transfer (AST) and domain generalization (DG) are important yet challenging visual learning tasks, which can be cast as a feature distribution matching problem. With the assumption of Gaussian feature distribution, conventional feature distribution matching methods usually match the mean and standard deviation of features. However, the feature distributions …