Existing methods of 3D dthus limiting the scope of their practical applications. In this paper,
we propose a novel regression framework which makes a balance among speed, accuracy …

Though tremendous strides have been made in uncontrolled face detection, accurate and
efficient 2D face alignment and 3D face reconstruction in-the-wild remain an open …

In this article, we provide a detailed survey of 3D Morphable Face Models over the 20 years
since they were first proposed. The challenges in building and applying these models …

This work studies learning from a synergy process of 3D Morphable Models (3DMM) and 3D
facial landmarks to predict complete 3D facial geometry, including 3D alignment, face …

Face alignment is the process of determining a face shape given its location and size in an
image. It is used as a basis for other facial analysis tasks and for human-machine interaction …

As a classic statistical model of 3D facial shape and albedo, 3D Morphable Model (3DMM) is
widely used in facial analysis, eg, model fitting, image synthesis. Conventional 3DMM is …

3D face reconstruction from a single image is an important task in many multimedia
applications. Recent works typically learn a CNN-based 3D face model that regresses …

Sensitivity to severe occlusion and large view angles limits the usage scenarios of the
existing monocular 3D dense face alignment methods. The state-of-the-art 3DMM-based …

Facial motion retargeting is an important problem in both computer graphics and vision,
which involves capturing the performance of a human face and transferring it to another 3D …

The key challenge for 3D face shape reconstruction is to build the correct dense face
correspondence between the deformable mesh and the single input image. Given the ill …