Guy Gafni

2 accepted papers

2023

Semantify: Simplifying the Control of 3D Morphable Models Using CLIP

ICCV 2023poster

We present Semantify: a self-supervised method that utilizes the semantic power of CLIP language-vision foundation model to simplify the control of 3D morphable models. Given a parametric model, training data is created by randomly sampling the model's parameters, creating various shapes and renderi…

Cited by 6 PDF ↗code ↗Scholar ↗

2021

Dynamic Neural Radiance Fields for Monocular 4D Facial Avatar Reconstruction

Guy Gafni, Justus Thies, Michael Zollhofer, Matthias Niessner

CVPR 2021poster

We present dynamic neural radiance fields for modeling the appearance and dynamics of a human face. Digitally modeling and reconstructing a talking human is a key building-block for a variety of applications. Especially, for telepresence applications in AR or VR, a faithful reproduction of the appea…

Cited by 638 PDF ↗Scholar ↗