no code implementations • 28 Nov 2022 • Xinrui Wang, Zhuoru Li, Xiao Zhou, Yusuke Iwasawa, Yutaka Matsuo
Previous learning based stylization methods suffer from the geometric and semantic gaps between portrait domain and style domain, which obstacles the style information to be correctly transferred to the portrait images, leading to poor stylization quality.
no code implementations • ICCV 2021 • Evan Casey, Víctor Pérez, Zhuoru Li, Harry Teitelman, Nick Boyajian, Tim Pulver, Mike Manh, William Grisaitis
Visual correspondence is a fundamental building block on the way to building assistive tools for hand-drawn animation.
no code implementations • 13 Jul 2021 • Qingyuan Zheng, Zhuoru Li, Adam Bargteil
Third, we developed a pipeline using generative adversarial networks to learn the principles of visual guidance and that can produce aesthetically pleasing layouts.
1 code implementation • CVPR 2020 • Qingyuan Zheng, Zhuoru Li, Adam Bargteil
We present a fully automatic method to generate detailed and accurate artistic shadows from pairs of line drawing sketches and lighting directions.