Abstract 3D human pose estimation and mesh recovery have attracted widespread research
interest in many areas, such as computer vision, autonomous driving, and robotics. Deep …

In vehicular fog computing, task offloading enables mobile vehicles (MVs) to offer ultralow
latency services for computation-intensive tasks. Nevertheless, the edge server (ES) may …

Point cloud completion aims at completing shapes from their partial. Most existing methods
utilized shape's priors information for point cloud completion, such as inputting the partial …

Human Mesh Reconstruction (HMR) aims to recover 3D human poses and shapes from a
single image. Existing parameterized HMR approaches follow the" representation-to …

The 3D model can be estimated by regressing the pose and shape parameters from the
image data of the digital model. The reconstruction of 3D cartoon characters poses a …

Besides a 3D mesh, Human Mesh Recovery (HMR) methods usually need to estimate a
camera for computing 2D reprojection loss. Previous approaches may encounter the …

Due to the inherent limitations of a single viewpoint, reconstructing 3D human meshes from
a single image has long been a challenging task. While deep learning networks enable us …

We present RopeTP, a novel framework that combines Robust pose estimation with a
diffusion Trajectory Prior to reconstruct global human motion from videos. At the heart of …

We propose a novel optimization-based human mesh recovery method from a single image.
Given a test exemplar, previous approaches optimize the pre-trained regression network to …

3D human mesh reconstruction from a single RGB image is a challenging task. Existing
methods either utilize parametric mesh models to restrain the 3D human structures or …