Deep Convolutional Neural Networks for estimating lens distortion parameters
Abstract In this paper we present a convolutional neural network (CNN) to predict multiple lens distortion parameters from a single…
Abstract In this paper we present a convolutional neural network (CNN) to predict multiple lens distortion parameters from a single…
Event details: Date: Thursday, 19 September, 2019 Time: 09.30-13:00 Venue: Regent House, Front Square, Trinity College Dublin – College…
Abstract The success of training deep Convolutional Neural Networks (CNNs) heavily depends on a significant amount of labelled data. Recent…
Creative studios tend to produce an overwhelming amount of content everyday and being able to manage these data…
In this paper we present a new fully automatic pipeline for generating shading effects on hand-drawn characters. Our method takes…
Abstract Photographs are characterized by different compositional attributes like the Rule of Thirds, depth of field, vanishing-lines etc. The presence…
Natural interaction with virtual objects in AR/VR environments makes for a smooth user experience. Gestures are a natural extension from…
Abstract We present the first generative adversarial network (GAN) for natural image matting. Our novel generator network is trained to…