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cs.CV2026

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…

cs.CV2026

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…

cs.CV2025

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…

cs.CV2025

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…

cs.CV2025

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…