Titlebook: Computer Vision – ECCV 2020; 16th European Confer Andrea Vedaldi,Horst Bischof,Jan-Michael Frahm Conference proceedings 2020 Springer Natur

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Daniel Popovic,Edouard Fouché,Klemens Böhmapproach, remains an open research question. In this work, we propose an algorithm that matches a non-photorealistic, synthetically generated image to a latent vector of a pretrained StyleGAN2 model which, in turn, maps the vector to a photorealistic image of a person of the same pose, expression, h

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The Case for Holistic Data Integrationposed attentive prototype aggregates all of the instances in a support class which are weighted by their importance, defined by the reconstruction error for a given query. The reconstruction error allows the classification posterior probability to be estimated, which corresponds to the classificatio

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Continuous Trip Route Planning Queriesvious GAN, consistently capturing the scene structure. Our network realistically renders entities’ details while keeping the scene structure. Experimental results on two public datasets show the effectiveness of our method.

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