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We propose Deep Feature Interpolation (DFI), a new datadriven baseline for automatic high-resolution image transformation. As the name suggests, DFI 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. Thisdoi:10.1109/cvpr.2017.645 dblp:conf/cvpr/UpchurchGPPSBW17 fatcat:7xqscf7ogne2nazr7dbx36f53e