We present ARCH++, an image-based method to reconstruct 3D avatars with arbitrary
clothing styles. Our reconstructed avatars are animation-ready and highly realistic, in both …

Occlusion poses a great threat to monocular multi-person 3D human pose estimation due to
large variability in terms of the shape, appearance, and position of occluders. While existing …

In human pose estimation methods based on graph convolutional architectures, the human
skeleton is usually modeled as an undirected graph whose nodes are body joints and edges …

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 …

Video-based 3D human pose estimation is an important yet challenging task for many
human-involved pattern recognition systems. Existing deep learning-based 3D human pose …

Training state-of-the-art models for human pose estimation in videos requires datasets with
annotations that are really hard and expensive to obtain. Although transformers have been …

Sequence prediction on temporal data requires the ability to understand compositional
structures of multi-level semantics beyond individual and contextual properties of parts. The …

Fully supervised human mesh recovery methods are data-hungry and have poor
generalizability due to the limited availability and diversity of 3D-annotated benchmark …

3D human pose estimation using monocular images is an important yet challenging task.
Existing 3D pose detection methods exhibit excellent performance under normal conditions …

Three-dimensional human pose estimation has made significant advancements through the
integration of deep learning techniques. This survey provides a comprehensive review of …