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Generative Adversarial Image Super-Resolution Through Deep Dense Skip Connections
(The Eurographics Association and John Wiley & Sons Ltd., 2018)
Recently, image super-resolution works based on Convolutional Neural Networks (CNNs) and Generative Adversarial Nets (GANs) have shown promising performance. However, these methods tend to generate blurry and over-smoothed ...
Few-shot Learning of Homogeneous Human Locomotion Styles
(The Eurographics Association and John Wiley & Sons Ltd., 2018)
Using neural networks for learning motion controllers from motion capture data is becoming popular due to the natural and smooth motions they can produce, the wide range of movements they can learn and their compactness ...
Controlling Stroke Size in Fast Style Transfer with Recurrent Convolutional Neural Network
(The Eurographics Association and John Wiley & Sons Ltd., 2018)
Controlling stroke size in Fast Style Transfer remains a difficult task. So far, only a few attempts have been made towards it, and they still exhibit several deficiencies regarding efficiency, flexibility, and diversity. ...
Automatic Mechanism Modeling from a Single Image with CNNs
(The Eurographics Association and John Wiley & Sons Ltd., 2018)
This paper presents a novel system that enables a fully automatic modeling of both 3D geometry and functionality of a mechanism assembly from a single RGB image. The resulting 3D mechanism model highly resembles the one ...
Modeling Fonts in Context: Font Prediction on Web Designs
(The Eurographics Association and John Wiley & Sons Ltd., 2018)
Web designers often carefully select fonts to fit the context of a web design to make the design look aesthetically pleasing and effective in communication. However, selecting proper fonts for a web design is a tedious and ...