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pro vyhledávání: '"Šárka Sochorová"'
Autor:
Šárka Sochorová, Ondřej Jamriška
Publikováno v:
ACM Transactions on Graphics. 40:1-11
There is a significant flaw in today's painting software: the colors do not mix like actual paints. E.g., blue and yellow make gray instead of green. This is because the software is built around the RGB representation, which models the mixing of colo
Autor:
Ondřej Texler, Ondřej Jamriška, Jingwan Lu, Jakub Fiser, Michal Lukáč, Šárka Sochorová, Eli Shechtman, Daniel Sýkora
Publikováno v:
ACM Transactions on Graphics. 38:1-11
We introduce a new example-based approach to video stylization, with a focus on preserving the visual quality of the style, user controllability and applicability to arbitrary video. Our method gets as input one or more keyframes that the artist choo
Autor:
Michal Kučera, Ondřj Texler, David Futschik, Daniel Syýkora, Šárka Sochorová, Menglei Chai, Ondřej Jamriška, Sergey Tulyakov
Publikováno v:
ACM SIGGRAPH 2020 Real-Time Live!.
Our tool allows artists to create living paintings or stylize a live video stream using their own artwork with minimal effort. While an artist is painting the image, our framework learns their artistic style on the fly and transfers it to the provide
Autor:
Šárka Sochorová, Sergey Tulyakov, Menglei Chai, Michal Kučera, David Futschik, Daniel Sýkora, Ondřej Jamriška, Ondřej Texler
In this paper, we present a learning-based method to the keyframe-based video stylization that allows an artist to propagate the style from a few selected keyframes to the rest of the sequence. Its key advantage is that the resulting stylization is s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c20eae897ec2d0d8dca0b78b1fd456a7
http://arxiv.org/abs/2004.14489
http://arxiv.org/abs/2004.14489