10 citations · 11 across the 5 of their papers we have counts for
5 papers
ReGroup: Recursive Neural Networks for Hierarchical Grouping of Vector Graphic Primitives
Sumit Chaturvedi, Michal Lukáč, Siddhartha Chaudhuri
Selection functionality is as fundamental to vector graphics as it is for raster data. But vector selection is quite different: instead of pixel-level labeling, we make a binary de…
STALP: Style Transfer with Auxiliary Limited Pairing
David Futschik, Michal Kučera, Michal Lukáč +3
We present an approach to example-based stylization of images that uses a single pair of a source image and its stylized counterpart. We demonstrate how to train an image translati…
Real Image Inversion via Segments
David Futschik, Michal Lukáč, Eli Shechtman +1
In this short report, we present a simple, yet effective approach to editing real images via generative adversarial networks (GAN). Unlike previous techniques, that treat all editi…
Im2Vec: Synthesizing Vector Graphics without Vector Supervision
Pradyumna Reddy, Michael Gharbi, Michal Lukac +1
Vector graphics are widely used to represent fonts, logos, digital artworks, and graphic designs. But, while a vast body of work has focused on generative algorithms for raster ima…
Texture Mixer: A Network for Controllable Synthesis and Interpolation of Texture
Ning Yu, Connelly Barnes, Eli Shechtman +2
This paper addresses the problem of interpolating visual textures. We formulate this problem by requiring (1) by-example controllability and (2) realistic and smooth interpolation…