Papers by Maoxiao Ye
Hybrid Autoregressive-Diffusion Model for Real-Time Sign Language Production (2026.acl-long)
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| Challenge: | Existing approaches to sign language production use autoregressive or diffusion models that generate one-by-one output tokens but suffer from exposure bias during inference. |
| Approach: | They propose a hybrid autoregressive-diffusion model that combines iterative refinement and sequential dependency modeling for Sign Language production. |
| Outcome: | The proposed model improves sign language production quality and real-time efficiency on PHOENIX14T and How2Sign. |