SSL-DiT: Saudi Sign Language video generation using multi-condition diffusion transformers
My undergraduate thesis. A diffusion transformer generates Saudi Sign Language video from several conditioning signals at once.
It grew out of my proposal, SSLVG, a text-to-gloss-to-video pipeline: each sign's pose is retrieved as a VQ-VAE latent, a transformer models the transitions between signs, and the result conditions a DiT. Evaluated on Isharah-1000 and KArSL.
