Reconstructing the detailed geometric structure of a face from a given image is a key to
many computer vision and graphics applications, such as motion capture and reenactment …

We present a convolutional network capable of inferring a 3D representation of a previously
unseen object given a single image of this object. Concretely, the network can predict an …

Fast and robust three-dimensional reconstruction of facial geometric structure from a single
image is a challenging task with numerous applications. Here, we introduce a learning …

It has been recently shown that neural networks can recover the geometric structure of a
face from a single given image. A common denominator of most existing face geometry …

We present an approach to simultaneously solve the two problems of face alignment and 3D
face reconstruction from an input 2D face image of arbitrary poses and expressions. The …

This paper proposes an encoder-decoder network to disentangle shape features during 3D
face shape reconstruction from single 2D images, such that the tasks of learning …

Face alignment and 3D face reconstruction are traditionally accomplished as separated
tasks. By exploring the strong correlation between 2D landmarks and 3D shapes, in contrast …

We address the challenging issue of reconstructing a 3D face from one single image under
various expressions and illuminations, which is widely applied in multimedia tasks. Methods …

This article reviews and studies the learning methods for 3D facial reconstruction in recent
years. Specifically, the article provides a detailed introduction to the 3D facial reconstruction …

摘要基于单幅图像的物体三维重建是计算机视觉领域的一个重要问题, 近几十年来得到了广泛的
关注. 随着深度学习的不断发展, 近年来基于单幅图像的物体三维重建取得了显著进展 …