7 citations · 9 across the 11 of their papers we have counts for
5 papers · 1 filter
Meaningful Pose-Based Sign Language Evaluation
Zifan Jiang, Colin Leong, Amit Moryossef +8
We present a comprehensive study on meaningfully evaluating sign language utterances in the form of human skeletal poses. The study covers keypoint distance-based, embedding-based,…
Using Sign Language Production as Data Augmentation to enhance Sign Language Translation
Harry Walsh, Maksym Ivashechkin, Richard Bowden
Machine learning models fundamentally rely on large quantities of high-quality data. Collecting the necessary data for these models can be challenging due to cost, scarcity, and pr…
HuGeDiff: 3D Human Generation via Diffusion with Gaussian Splatting
Maksym Ivashechkin, Oscar Mendez, Richard Bowden
3D human generation is an important problem with a wide range of applications in computer vision and graphics. Despite recent progress in generative AI such as diffusion models or…
SignSplat: Rendering Sign Language via Gaussian Splatting
Maksym Ivashechkin, Oscar Mendez, Richard Bowden
State-of-the-art approaches for conditional human body rendering via Gaussian splatting typically focus on simple body motions captured from many views. This is often in the contex…
HandOcc: NeRF-based Hand Rendering with Occupancy Networks
Maksym Ivashechkin, Oscar Mendez, Richard Bowden
We propose HandOcc, a novel framework for hand rendering based upon occupancy. Popular rendering methods such as NeRF are often combined with parametric meshes to provide deformabl…