Deep Learning for Visual Computing

A Geometry-Sensitive Approach for Photographic Style Classification

Abstract Photographs are characterized by different compositional attributes like the Rule of Thirds, depth of field, vanishing-lines etc. The presence or absence of one or more of these attributes contributes ...
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AlphaGAN: Generative adversarial networks for natural image matting

Abstract We present the first generative adversarial network (GAN) for natural image matting. Our novel generator network is trained to predict visually appealing alphas with the addition of the adversarial ...
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Deep Normal Estimation for Automatic Shading of Hand-Drawn Characters

In this paper (Pre-Print) we present a new fully automatic pipeline for generating shading effects on hand-drawn characters. Our method takes as input a single digitized sketch of any resolution ...
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DeepStereoBrush: Interactive Depth Map Creation

In this paper, we introduce a novel interactive depth map creation approach for image sequences which uses depth scribbles as input at user-defined keyframes. These scribbled depth values are then ...
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Egocentric Gesture Recognition for Head-Mounted AR devices

Natural interaction with virtual objects in AR/VR environments makes for a smooth user experience. Gestures are a natural extension from real world to augmented space to achieve these interactions. Finding ...
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