1 code implementation • ECCV 2020 • Jan Brejcha, Michal Lukáč, Yannick Hold-Geoffroy, Oliver Wang, Martin Čadík
We introduce a solution to large scale Augmented Reality for outdoor scenes by registering camera images to textured Digital Elevation Models (DEMs).
Ranked #2 on
Patch Matching
on HPatches
(using extra training data)
1 code implementation • 23 Nov 2021 • Sumit Chaturvedi, Michal Lukáč, Siddhartha Chaudhuri
Selection functionality is as fundamental to vector graphics as it is for raster data.
no code implementations • 20 Oct 2021 • David Futschik, Michal Kučera, Michal Lukáč, Zhaowen Wang, Eli Shechtman, Daniel Sýkora
We present an approach to example-based stylization of images that uses a single pair of a source image and its stylized counterpart.
1 code implementation • 12 Oct 2021 • David Futschik, Michal Lukáč, Eli Shechtman, Daniel Sýkora
In this short report, we present a simple, yet effective approach to editing real images via generative adversarial networks (GAN).
1 code implementation • ACM Transactions on Graphics 2020 • Tzu-Mao Li, Michal Lukáč, Michaël Gharbi, Jonathan Ragan-Kelley
We introduce a differentiable rasterizer that bridges the vector graphics and raster image domains, enabling powerful raster-based loss functions, optimization procedures, and machine learning techniques to edit and generate vector content.