120 citations · 175 across the 6 of their papers we have counts for
7 papers
Geometry-Aware Texture Generation for 3D Head Modeling with Artist-driven Control
Amin Fadaeinejad, Abdallah Dib, Luiz Gustavo Hafemann +6
Creating realistic 3D head assets for virtual characters that match a precise artistic vision remains labor-intensive. We present a novel framework that streamlines this process by…
ZeroEGGS: Zero-shot Example-based Gesture Generation from Speech
Saeed Ghorbani, Ylva Ferstl, Daniel Holden +2
We present ZeroEGGS, a neural network framework for speech-driven gesture generation with zero-shot style control by example. This means style can be controlled via only a short ex…
Probabilistic Character Motion Synthesis using a Hierarchical Deep Latent Variable Model
Saeed Ghorbani, Calden Wloka, Ali Etemad +2
We present a probabilistic framework to generate character animations based on weak control signals, such that the synthesized motions are realistic while retaining the stochastic…
Gait Recognition using Multi-Scale Partial Representation Transformation with Capsules
Alireza Sepas-Moghaddam, Saeed Ghorbani, Nikolaus F. Troje +1
Gait recognition, referring to the identification of individuals based on the manner in which they walk, can be very challenging due to the variations in the viewpoint of the camer…
MoVi: A Large Multipurpose Motion and Video Dataset
Saeed Ghorbani, Kimia Mahdaviani, Anne Thaler +4
Human movements are both an area of intense study and the basis of many applications such as character animation. For many applications, it is crucial to identify movements from vi…
Auto-labelling of Markers in Optical Motion Capture by Permutation Learning
Saeed Ghorbani, Ali Etemad, Nikolaus F. Troje
Optical marker-based motion capture is a vital tool in applications such as motion and behavioural analysis, animation, and biomechanics. Labelling, that is, assigning optical mark…
AMASS: Archive of Motion Capture as Surface Shapes
Naureen Mahmood, Nima Ghorbani, Nikolaus F. Troje +2
Large datasets are the cornerstone of recent advances in computer vision using deep learning. In contrast, existing human motion capture (mocap) datasets are small and the motions…