Daniel Sýkora — accepted AI-conference papers

2023

Controllable Light Diffusion for Portraits

David Futschik, Kelvin Ritland, James Vecore, Sean Fanello, Sergio Orts-Escolano, Brian Curless +2

CVPR 2023poster

We introduce light diffusion, a novel method to improve lighting in portraits, softening harsh shadows and specular highlights while preserving overall scene illumination. Inspired by professional photographers' diffusers and scrims, our method softens lighting given only a single portrait photo. Pr…

Cited by 12 Source ↗PDF ↗Scholar ↗

2022

ChunkyGAN: Real Image Inversion via Segments

Adéla Šubrtová, David Futschik, Jan Čech, Michal Lukáč, Eli Shechtman, Daniel Sýkora

ECCV 2022poster

"We present ChunkyGAN-a novel paradigm for modeling and editing images using generative adversarial networks. Unlike previous techniques seeking a global latent representation of the input image, our approach subdivides the input image into a set of smaller components (chunks) specified either manua…

Cited by 7 Source ↗PDF ↗Scholar ↗