108 citations · 174 across the 5 of their papers we have counts for
5 papers
Mocap Anywhere: Towards Pairwise-Distance based Motion Capture in the Wild (for the Wild)
Ofir Abramovich, Ariel Shamir, Andreas Aristidou
We introduce a novel motion capture system that reconstructs full-body 3D motion using only sparse pairwise distance (PWD) measurements from body-mounted(UWB) sensors. Using time-o…
Motion-R3: Fast and Accurate Motion Annotation via Representation-based Representativeness Ranking
Jubo Yu, Tianxiang Ren, Shihui Guo +6
In this paper, we follow a data-centric philosophy and propose a novel motion annotation method based on the inherent representativeness of motion data in a given dataset. Specific…
Rhythm is a Dancer: Music-Driven Motion Synthesis with Global Structure
Andreas Aristidou, Anastasios Yiannakidis, Kfir Aberman +3
Synthesizing human motion with a global structure, such as a choreography, is a challenging task. Existing methods tend to concentrate on local smooth pose transitions and neglect…
Pose Representations for Deep Skeletal Animation
Nefeli Andreou, Andreas Aristidou, Yiorgos Chrysanthou
Data-driven character animation techniques rely on the existence of a properly established model of motion, capable of describing its rich context. However, commonly used motion re…
MotioNet: 3D Human Motion Reconstruction from Monocular Video with Skeleton Consistency
Mingyi Shi, Kfir Aberman, Andreas Aristidou +4
We introduce MotioNet, a deep neural network that directly reconstructs the motion of a 3D human skeleton from monocular video.While previous methods rely on either rigging or inve…