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Results User Study The following figure shows the results of a userstudy. We can see that our method is prefered over BPG, even when BPG uses almost twice the number of bits. The bitrate of our models is highlighted on the x-axis with a black diamond. The thick gray line shows the percentage of users preferring our model to BPG at that bitrate (bpp). The blue arrow points from our model to the hig
Logo Synthesis and Manipulation with Clustered Generative Adverserial Network arXiv:1712.04407 Designing a logo for a new brand is a lengthy and tedious back-and-forth process between a designer and a client. In this paper we explore to what extent machine learning can solve the creative task of the designer. For this, we build a dataset -- LLD -- of 600k+ logos crawled from the world wide web. Tr
IMDB-WIKI – 500k+ face images with age and gender labels Rasmus Rothe, Radu Timofte, Luc Van Gool DEX: Deep EXpectation of apparent age from a single image Looking at People Workshop International Conference on Computer Vision (ICCV), 2015 ∗ Winner of LAP challenge on apparent age estimation ∗ NVIDIA ChaLearn LAP 2015 Best Paper Award In this paper we tackle the estimation of apparent age in still
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