Deep Feature Interpolation for Image Content Changes

Understand

We propose Deep Feature Interpolation (DFI), a new data-driven baseline for automatic high-resolution image transformation.

• As the name suggests, it relies only on simple linear interpolation of deep convolutional features from pre-trained convnets.
• We show that despite its simplicity, DFI can perform high-level semantic transformations like "make older/younger", "make bespectacled", "add smile", among others, surprisingly well - sometimes even matching or outperforming the state-of-the-art.
• This is particularly unexpected as DFI requires no specialized network architecture or even any deep network to be trained for these tasks.