no code implementations • 15 Apr 2024 • Min-Hui Lin, Mahesh Reddy, Guillaume Berger, Michel Sarkis, Fatih Porikli, Ning Bi
In this paper, we present EdgeRelight360, an approach for real-time video portrait relighting on mobile devices, utilizing text-conditioned generation of 360-degree high dynamic range image (HDRI) maps.
no code implementations • 23 Dec 2023 • Andrew Hou, Feng Liu, Zhiyuan Ren, Michel Sarkis, Ning Bi, Yiying Tong, Xiaoming Liu
We propose INFAMOUS-NeRF, an implicit morphable face model that introduces hypernetworks to NeRF to improve the representation power in the presence of many training subjects.
no code implementations • 29 Jun 2023 • Kai-En Lin, Alex Trevithick, Keli Cheng, Michel Sarkis, Mohsen Ghafoorian, Ning Bi, Gerhard Reitmayr, Ravi Ramamoorthi
In this work, our goal is to take as input a monocular video of a face, and create an editable dynamic portrait able to handle extreme head poses.
1 code implementation • CVPR 2022 • Andrew Hou, Michel Sarkis, Ning Bi, Yiying Tong, Xiaoming Liu
Most face relighting methods are able to handle diffuse shadows, but struggle to handle hard shadows, such as those cast by the nose.
1 code implementation • CVPR 2021 • Andrew Hou, Ze Zhang, Michel Sarkis, Ning Bi, Yiying Tong, Xiaoming Liu
Furthermore, we introduce a method to use the shadow mask to estimate the ambient light intensity in an image, and are thus able to leverage multiple datasets during training with different global lighting intensities.
1 code implementation • CVPR 2021 • Jiyang Yu, Ravi Ramamoorthi, Keli Cheng, Michel Sarkis, Ning Bi
Our method is fully automatic and produces visually and quantitatively better results than previous real-time general video stabilization methods.