Michal Lukáč
Michal Lukáč
Adobe Research
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Cited by
Cited by
Differentiable vector graphics rasterization for editing and learning
TM Li, M Lukáč, M Gharbi, J Ragan-Kelley
ACM Transactions on Graphics (TOG) 39 (6), 1-15, 2020
Stylit: illumination-guided example-based stylization of 3d renderings
J Fišer, O Jamriška, M Lukáč, E Shechtman, P Asente, J Lu, D Sŭkora
ACM Transactions on Graphics (TOG) 35 (4), 1-11, 2016
Im2vec: Synthesizing vector graphics without vector supervision
P Reddy, M Gharbi, M Lukac, NJ Mitra
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
Example-based synthesis of stylized facial animations
J Fišer, O Jamriška, D Simons, E Shechtman, J Lu, P Asente, M Lukáč, ...
ACM Transactions on Graphics (TOG) 36 (4), 1-11, 2017
Stylizing video by example
O Jamriška, Š Sochorová, O Texler, M Lukáč, J Fišer, J Lu, E Shechtman, ...
ACM Transactions on Graphics (TOG) 38 (4), 1-11, 2019
Painting by feature: Texture boundaries for example-based image creation
M Lukáč, J Fišer, JC Bazin, O Jamriška, A Sorkine-Hornung, D Sŭkora
ACM Transactions on Graphics (TOG) 32 (4), 1-8, 2013
Texture mixer: A network for controllable synthesis and interpolation of texture
N Yu, C Barnes, E Shechtman, S Amirghodsi, M Lukac
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
Color Me Noisy: Example‐based rendering of hand‐colored animations with temporal noise control
J Fišer, M Lukáč, O Jamriška, M Čadík, Y Gingold, P Asente, D Sŭkora
Computer Graphics Forum 33 (4), 1-10, 2014
StyleBlit: Fast Example‐Based Stylization with Local Guidance
D Sŭkora, O Jamriška, O Texler, J Fišer, M Lukáč, J Lu, E Shechtman
Computer Graphics Forum 38 (2), 83-91, 2019
Brushables: Example‐based Edge‐aware Directional Texture Painting
M Lukáč, J Fišer, P Asente, J Lu, E Shechtman, D Sŭkora
Computer Graphics Forum 34 (7), 257-267, 2015
Deep patch feature prediction for image inpainting
O Wang, M Lukac, E Shechtman, M Najibikohnehshahri
US Patent 10,740,881, 2020
Generating a stylized image or stylized animation by matching semantic features via an appearance guide, a segmentation guide, and/or a temporal guide
D Simons, M Lukac, D Sykora, E Shechtman, P Asente, J Lu, J Fiser, ...
US Patent 10,504,267, 2019
Nautilus: Recovering regional symmetry transformations for image editing
M Lukáč, D Sŭkora, K Sunkavalli, E Shechtman, O Jamriška, N Carr, ...
ACM Transactions on Graphics (TOG) 36 (4), 1-11, 2017
Arbitrary style transfer using neurally-guided patch-based synthesis
O Texler, D Futschik, J Fišer, M Lukáč, J Lu, E Shechtman, D Sŭkora
Computers & Graphics 87, 62-71, 2020
Landscapear: Large scale outdoor augmented reality by matching photographs with terrain models using learned descriptors
J Brejcha, M Lukáč, Y Hold-Geoffroy, O Wang, M Čadík
European Conference on Computer Vision, 295-312, 2020
Image patch matching using probabilistic sampling based on an oracle
N Carr, K Sunkavalli, M Lukac, E Shechtman
US Patent 10,489,676, 2019
Stalp: Style transfer with auxiliary limited pairing
D Futschik, M Kučera, M Lukáč, Z Wang, E Shechtman, D Sŭkora
Computer Graphics Forum 40 (2), 563-573, 2021
Immersive trip reports
J Brejcha, M Lukác, Z Chen, S DiVerdi, M Cadík
Proceedings of the 31st Annual ACM symposium on user interface software and …, 2018
Generating immersive trip photograph visualizations
M Luká, Z Chen, J Brejcha, M Cadik
US Patent 10,825,246, 2020
Enhancing neural style transfer using patch-based synthesis
O Texler, J Fišer, M Lukáč, J Lu, E Shechtman, D Sŭkora
Proceedings of the 8th ACM/Eurographics Expressive Symposium on …, 2019
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