Barycenters of Natural Images -- Constrained Wasserstein Barycenters for Image Morphing
December 24, 2019 Β· Declared Dead Β· π Computer Vision and Pattern Recognition
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Authors
Dror Simon, Aviad Aberdam
arXiv ID
1912.11545
Category
cs.CV: Computer Vision
Citations
23
Venue
Computer Vision and Pattern Recognition
Last Checked
4 months ago
Abstract
Image interpolation, or image morphing, refers to a visual transition between two (or more) input images. For such a transition to look visually appealing, its desirable properties are (i) to be smooth; (ii) to apply the minimal required change in the image; and (iii) to seem "real", avoiding unnatural artifacts in each image in the transition. To obtain a smooth and straightforward transition, one may adopt the well-known Wasserstein Barycenter Problem (WBP). While this approach guarantees minimal changes under the Wasserstein metric, the resulting images might seem unnatural. In this work, we propose a novel approach for image morphing that possesses all three desired properties. To this end, we define a constrained variant of the WBP that enforces the intermediate images to satisfy an image prior. We describe an algorithm that solves this problem and demonstrate it using the sparse prior and generative adversarial networks.
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