Now showing items 1-3 of 3

    • AlphaGAN: Generative adversarial networks for natural image matting 

      Lutz, Sebastian; Amplianitis, Konstantinos; Smolic, Aljosa (2018)
      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 loss from the discriminator ...
    • Deep Convolutional Neural Networks for estimating lens distortion parameters 

      Smolic, Aljosa; Lutz, Sebastian; Davey, Mark (2019)
      In this paper we present a convolutional neural network (CNN) to predict multiple lens distortion parameters from a single input image. Unlike other methods, our network is suitable to create high resolution output as ...
    • Exploration of Deep Learning Techniques for Natural Image Matting 

      Lutz, Sebastian (Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2021)
      Natural image matting is the process of estimating the opacity mask between the foreground object and the background in any type of image. This technique has manifold applications in image and video processing and ...