We present a unified perspective on tackling various human-centric video tasks by learning
human motion representations from large-scale and heterogeneous data resources …

Inspired by the success of volumetric 3D pose estimation, some recent human mesh
estimators propose to estimate 3D skeletons as intermediate representations, from which …

Abstract We revisit Tree-Ring Watermarking, a recent diffusion model watermarking method
that demonstrates great robustness to various attacks. We conduct an in-depth study on it …

Faithfully modeling the space of articulations is a crucial task that allows recovery and
generation of realistic poses and remains a notorious challenge. To this end we introduce …

Learning-based methods have dominated the 3D human pose estimation (HPE) tasks with
significantly better performance in most benchmarks than traditional optimization-based …

The use of anthropomorphic robotic hands for assisting individuals in situations where
human hands may be unavailable or unsuitable has gained significant importance. In this …

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 …

In this work we explore egocentric whole-body motion capture using a single fisheye camera
which simultaneously estimates human body and hand motion. This task presents significant …

Human posture detection is a rapidly evolving field with significant implications for various
applications, including healthcare, surveillance, and human-computer interaction. The …

Abstract 6D object pose estimation is crucial in the field of computer vision. However, it
suffers from a significant lack of large-scale and diverse datasets, impeding comprehensive …