Videos from edited media like movies are a useful, yet under-explored source of information,
with rich variety of appearance and interactions between humans depicted over a large …

Recent years have witnessed a trend of the deep integration of the generation and
reconstruction paradigms. In this paper we extend the ability of controllable generative …

We address the problem of regressing 3D human pose and shape from a single image with
a focus on 3D accuracy. The current best methods leverage large datasets of 3D pseudo …

For human-centric large-scale scenes fine-grained modeling for 3D human global pose and
shape is significant for scene understanding and can benefit many real-world applications …

We are living in a world surrounded by diverse and" smart" devices with rich modalities of
sensing ability. Conveniently capturing the interactions between us humans and these …

Whole-body pose and shape estimation aims to jointly predict different behaviors (eg, pose,
hand gesture, facial expression) of the entire human body from a monocular image. Existing …

Although novel 3D animation techniques could be boosted by a large variety of deep
learning methods, flexible automatic 3D applications (involving animated figures such as …

Human mesh reconstruction (HMR) from monocular video is the key step to many mixed
reality and robotic applications. Although existing methods show promising results by …

Estimating 3D human mesh is appealing for various application scenarios. Current
mainstream solution predicts the meshes either from the image or the human reflected RF …

Marker-less monocular 3D human motion capture (MoCap) with scene interactions is a
challenging research topic relevant for extended reality, robotics and virtual avatar …