Browsing by Author "Tsuruno, Reiji"

Now showing 1 - 3 of 3
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    Colorization of Line Drawings with Empty Pupils
    (The Eurographics Association and John Wiley & Sons Ltd., 2020) Akita, Kenta; Morimoto, Yuki; Tsuruno, Reiji; Eisemann, Elmar and Jacobson, Alec and Zhang, Fang-Lue
    Many studies have recently applied deep learning to the automatic colorization of line drawings. However, it is difficult to paint empty pupils using existing methods because the convolutional neural network are trained with pupils that have edges, which are generated from color images using image processing. Most actual line drawings have empty pupils that artists must paint in. In this paper, we propose a novel network model that transfers the pupil details in a reference color image to input line drawings with empty pupils. We also propose a method for accurately and automatically colorizing eyes. In this method, eye patches are extracted from a reference color image and automatically added to an input line drawing as color hints using our pupil position estimation network.
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    Deep-Eyes: Fully Automatic Anime Character Colorization with Painting of Details on Empty Pupils
    (The Eurographics Association, 2020) Akita, Kenta; Morimoto, Yuki; Tsuruno, Reiji; Wilkie, Alexander and Banterle, Francesco
    Many studies have recently applied deep learning to the automatic colorization of line drawings. However, it is difficult to paint empty pupils using existing methods because the networks are trained with pupils that have edges, which are generated from color images using image processing. Most actual line drawings have empty pupils that artists must paint in. In this paper, we propose a novel network model that transfers the pupil details in a reference color image to input line drawings with empty pupils. We also propose a method for accurately and automatically coloring eyes. In this method, eye patches are extracted from a reference color image and automatically added to an input line drawing as color hints using our eye position estimation network.
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    Global Illumination-Aware Stylised Shading
    (The Eurographics Association and John Wiley & Sons Ltd., 2021) Doi, Kohei; Morimoto, Yuki; Tsuruno, Reiji; Zhang, Fang-Lue and Eisemann, Elmar and Singh, Karan
    Our aim is to convert an object's appearance to an arbitrary colour considering the light scattering in the entire scene, which is often called the global illumination. Existing stylisation methods convert the colour of an object with a 1-dimensional texture for 3-dimensional computer graphics to reproduce a typical style used in illustrations and cel animations. However, they cannot express global illumination effects. We propose two individual methods to compute the global illumination and convert the shading to an arbitrary colour. The methods reproduce reflections in other objects with the converted colour. As a result, we can convert the colour of illumination effects that have not yet been reproduced, such as soft shadows and refractions