37 citations · 95 across the 10 of their papers we have counts for
5 papers · 1 filter
Comixify: Transform video into a comics
Maciej Pęśko, Adam Svystun, Paweł Andruszkiewicz +2
In this paper, we propose a solution to transform a video into a comics. We approach this task using a neural style algorithm based on Generative Adversarial Networks (GANs). Sever…
Aggregation of binary feature descriptors for compact scene model representation in large scale structure-from-motion applications
Jacek Komorowski, Tomasz Trzcinski
In this paper we present an efficient method for aggregating binary feature descriptors to allow compact representation of 3D scene model in incremental structure-from-motion and S…
SConE: Siamese Constellation Embedding Descriptor for Image Matching
Tomasz Trzcinski, Jacek Komorowski, Lukasz Dabala +3
Numerous computer vision applications rely on local feature descriptors, such as SIFT, SURF or FREAK, for image matching. Although their local character makes image matching proces…
Interest point detectors stability evaluation on ApolloScape dataset
Jacek Komorowski, Konrad Czarnota, Tomasz Trzcinski +2
In the recent years, a number of novel, deep-learning based, interest point detectors, such as LIFT, DELF, Superpoint or LF-Net was proposed. However there's a lack of a standard b…
Neural Comic Style Transfer: Case Study
Maciej Pęśko, Tomasz Trzciński
The work by Gatys et al. [1] recently showed a neural style algorithm that can produce an image in the style of another image. Some further works introduced various improvements re…