This paper presents a new method to synthesize an image from arbitrary views and times
given a collection of images of a dynamic scene. A key challenge for the novel view …

We study the problem of classifying actions of human subjects using depth movies
generated by Kinect or other depth sensors. Representing human body as dynamical …

This paper proposes a simple “prior-free” method for solving the non-rigid structure-from-
motion (NRSfM) factorization problem. Other than using the fundamental low-order linear …

This paper advocates the use of organic priors in classical non-rigid structure from motion
(NRS f M). By organic priors, we mean invaluable intermediate prior information intrinsic to …

Non-rigid structure from motion is a fundamental problem in computer vision, which is yet to
be solved satisfactorily. The main difficulty of the problem lies in choosing the right …

This paper proposes a new approach for monocular dense 3D reconstruction of a complex
dynamic scene from two perspective frames. By applying superpixel oversegmentation to …

Coloring books capture the imagination of children and provide them with one of their
earliest opportunities for creative expression. However, given the proliferation and popularity …

In this paper we reformulate the 3D reconstruction of deformable surfaces from monocular
video sequences as a labeling problem. We solve simultaneously for the assignment of …

We propose MHR-Net, a novel method for recovering Non-Rigid Shapes from Motion
(NRSfM). MHR-Net aims to find a set of reasonable reconstructions for a 2D view, and it also …

Latent variable models provide valuable compact representations for learning and inference
in many computer vision tasks. However, most existing models cannot directly encode prior …