9 citations · 10 across the 3 of their papers we have counts for
3 papers
cs.CV2023
Controllable Light Diffusion for Portraits
David Futschik, Kelvin Ritland, James Vecore +5
We introduce light diffusion, a novel method to improve lighting in portraits, softening harsh shadows and specular highlights while preserving overall scene illumination. Inspired…
cs.CV2023★ 1 cited
Learning Personalized High Quality Volumetric Head Avatars from Monocular RGB Videos
Ziqian Bai, Feitong Tan, Zeng Huang +12
We propose a method to learn a high-quality implicit 3D head avatar from a monocular RGB video captured in the wild. The learnt avatar is driven by a parametric face model to achie…
cs.CV2023★ 9 cited
Multi-Camera Lighting Estimation for Photorealistic Front-Facing Mobile Augmented Reality
Yiqin Zhao, Sean Fanello, Tian Guo
Lighting understanding plays an important role in virtual object composition, including mobile augmented reality (AR) applications. Prior work often targets recovering lighting fro…