Abstract Model-based 3D pose and shape estimation methods reconstruct a full 3D mesh for
the human body by estimating several parameters. However, learning the abstract …

Abstract We describe Human Mesh Recovery (HMR), an end-to-end framework for
reconstructing a full 3D mesh of a human body from a single RGB image. In contrast to most …

This paper addresses the challenge of 3D human pose estimation from a single color image.
Despite the general success of the end-to-end learning paradigm, top performing …

Training accurate 3D human pose estimators requires large amount of 3D ground-truth data
which is costly to collect. Various weakly or self supervised pose estimation methods have …

We propose a unified formulation for the problem of 3D human pose estimation from a single
raw RGB image that reasons jointly about 2D joint estimation and 3D pose reconstruction to …

Lossy image compression is generally formulated as a joint rate-distortion optimization
problem to learn encoder, quantizer, and decoder. Due to the non-differentiable quantizer …

We propose an end-to-end architecture for joint 2D and 3D human pose estimation in
natural images. Key to our approach is the generation and scoring of a number of pose …

Recovering human pose from RGB images and videos has drawn increasing attention in
recent years owing to minimum sensor requirements and applicability in diverse fields such …

This paper addresses the problem of 3D human pose estimation from a single image. We
follow a standard two-step pipeline by first detecting the 2D position of the N body joints, and …

In this paper, we propose a pose grammar to tackle the problem of 3D human pose
estimation. Our model directly takes 2D pose as input and learns a generalized 2D-3D …