3 papers
cs.CV2026
SignRefine: Adapting Foundational Video Models for Sign Language Generation
Anton Pelykh, Edward Fish, Ozge Mercanoglu Sincan +1
Sign language video generation demands precise hand and facial articulation, yet modern video diffusion models, trained predominantly on spoken-language video, produce artifacts th…
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.CV2024
Giving a Hand to Diffusion Models: a Two-Stage Approach to Improving Conditional Human Image Generation
Anton Pelykh, Ozge Mercanoglu Sincan, Richard Bowden
Recent years have seen significant progress in human image generation, particularly with the advancements in diffusion models. However, existing diffusion methods encounter challen…