Since the faces generated by previous works lack of personalization, we propose a novel approach for 3-D facial expression synthesis based on nonlinear learning ...

In order to generate personalized 3-D facial expressions with important details, in this paper, we present a novel approach for expression synthesis based on ...

The experimental results indicate the robustness and effectiveness of the novel approach for 3-D facial expression synthesis based on nonlinear learning and ...

In this work, we describe a new method, known as LandmarkGAN, to synthesize faces only using facial landmarks.

We present a complete pipeline for creating fully rigged, personalized 3D facial avatars from hand-held video. Our system faithfully recovers facial expression ...

Apr 5, 2022 · Our approach reconstructs the 3D shape of the face from each video frame, aligns the 3D mesh to a canonical view, and trains a GAN-based network ...

Missing: Personalized | Show results with:Personalized

We propose a neural network based method to regress the 3D face shape and orientation from the input 2D caricature image.

We present 3D Constrained Local Model (CLM-Z) for robust facial feature tracking under varying pose. Our ap- proach integrates both depth and intensity ...

Apr 5, 2024 · SMIRK reconstructs 3D faces from monocular images with facial geometry that faithfully recover extreme, asymmetric, and subtle expressions.