7 citations · 9 across the 11 of their papers we have counts for
12 papers · 1 filter
BackTranslation2.0 -- A Linguistically Motivated Metric to Assess Sign Language Production
Oliver Cory, Maksym Ivashechkin, Karahan Sahin +6
Sign Languages (SLs) are the primary means of communication for millions of deaf individuals, yet existing evaluation metrics for generated SL remain simplistic and poorly aligned…
SignSparK: Efficient Multilingual Sign Language Production via Sparse Keyframe Learning
Jianhe Low, Alexandre Symeonidis-Herzig, Maksym Ivashechkin +2
Sign Language Production (SLP) faces a fundamental trade-off: direct text-to-pose models suffer from regression-to-the-mean effects, while dictionary-retrieval methods produce disj…
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…
Two Hands Are Better Than One: Resolving Hand to Hand Intersections via Occupancy Networks
Maksym Ivashechkin, Oscar Mendez, Richard Bowden
3D hand pose estimation from images has seen considerable interest from the literature, with new methods improving overall 3D accuracy. One current challenge is to address hand-to-…