Estimating human pose and shape from monocular images is a long-standing problem in
computer vision. Since the release of statistical body models, 3D human mesh recovery has …

Expressive human pose and shape estimation (EHPS) unifies body, hands, and face motion
capture with numerous applications. Despite encouraging progress, current state-of-the-art …

Expressive human pose and shape estimation (aka 3D whole-body mesh recovery) involves
the human body hand and expression estimation. Most existing methods have tackled this …

As it is hard to calibrate single-view RGB images in the wild, existing 3D human mesh
reconstruction (3DHMR) methods either use a constant large focal length or estimate one …

We present Multi-HMR, a strong single-shot model for multi-person 3D human mesh
recovery from a single RGB image. Predictions encompass the whole body, ie., including …

Estimating human and camera trajectories with accurate scale in the world coordinate
system from a monocular video is a highly desirable yet challenging and ill-posed problem …

This paper aims to generate physically-layered 3D humans from text prompts. Existing
methods either generate 3D clothed humans as a whole or support only tight and simple …

Reconstructing human-object interaction in 3D from a single RGB image is a challenging
task and existing data driven methods do not generalize beyond the objects present in the …

We introduce a novel task within the field of 3D dance generation, termed dance
accompaniment, which necessitates the generation of responsive movements from a dance …

Generative Artificial Intelligence (GenAI) has recently gained immense popularity by offering
various applications for generating high-quality and aesthetically pleasing content of image …