Sign-D2C uses a conditional diffusion model with random masking and linear interpolation padding to generate transition poses between discrete signs, but its evaluation is largely a same-task reconstruction rather than a realistic discrete-to-continuous test.
The devisign large vocabulary of chinese sign language database and base- line evaluations
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Discrete to Continuous: Generating Smooth Transition Poses from Sign Language Observation
Sign-D2C uses a conditional diffusion model with random masking and linear interpolation padding to generate transition poses between discrete signs, but its evaluation is largely a same-task reconstruction rather than a realistic discrete-to-continuous test.