Controllable Light Diffusion for Portraits

no code implementations • CVPR 2023 • David Futschik, Kelvin Ritland, James Vecore, Sean Fanello, Sergio Orts-Escolano, Brian Curless, Daniel Sýkora, Rohit Pandey

We introduce light diffusion, a novel method to improve lighting in portraits, softening harsh shadows and specular highlights while preserving overall scene illumination.

Semantic Segmentation

STALP: Style Transfer with Auxiliary Limited Pairing

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.

Style Transfer Translation

Real Image Inversion via Segments

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).

Interactive Video Stylization Using Few-Shot Patch-Based Training

2 code implementations • 29 Apr 2020 • Ondřej Texler, David Futschik, Michal Kučera, Ondřej Jamriška, Šárka Sochorová, Menglei Chai, Sergey Tulyakov, Daniel Sýkora

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.

Style Transfer Translation +1