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Found 10 papers, 2 papers with code
AvatarPoser: Articulated Full-Body Pose Tracking from Sparse Motion Sensing
In this paper, we present AvatarPoser, the first learning-based method that predicts full-body poses in world coordinates using only motion input from the user's head and hands.
DenseReg: Fully Convolutional Dense Shape Regression In-the-Wild
We define the regression task in terms of the intrinsic, U-V coordinates of a 3D deformable model that is brought into correspondence with image instances at training time.
Learning the Multilinear Structure of Visual Data
To extract these modes of variations from visual data, several supervised methods, such as the TensorFaces, that rely on multilinear (tensor) decomposition (e. g., Higher Order SVD) have been developed.
Face Normals "In-The-Wild" Using Fully Convolutional Networks
In this work we pursue a data-driven approach to the problem of estimating surface normals from a single intensity image, focusing in particular on human faces.
DenseReg: Fully Convolutional Dense Shape Regression In-the-Wild
As such our network can provide useful correspondence information as a stand-alone system, while when used as an initialization for Statistical Deformable Models we obtain landmark localization results that largely outperform the current state-of-the-art on the challenging 300W benchmark.
Mnemonic Descent Method: A Recurrent Process Applied for End-To-End Face Alignment
Cascaded regression has recently become the method of choice for solving non-linear least squares problems such as deformable image alignment.
A Comprehensive Performance Evaluation of Deformable Face Tracking "In-the-Wild"
Recently, technologies such as face detection, facial landmark localisation and face recognition and verification have matured enough to provide effective and efficient solutions for imagery captured under arbitrary conditions (referred to as "in-the-wild").
Face Flow
In this paper, we propose a method for the robust and efficient computation of multi-frame optical flow in an expressive sequence of facial images.
Automatic Construction Of Robust Spherical Harmonic Subspaces
In this paper we propose a method to automatically recover a class specific low dimensional spherical harmonic basis from a set of in-the-wild facial images.
Kernel-PCA Analysis of Surface Normals for Shape-from-Shading
We propose a kernel-based framework for computing components from a set of surface normals.
