SignVQNet

Sign language Vector Quantization Network (SignVQNet) leverages discrete spatio-temporal representations of sign poses to generate accurate and realistic sign pose sequences.

Data and Resources

Cite this as

Eui Jun Hwang, Huije Lee, Jong C. Park (2025). Dataset: SignVQNet. https://doi.org/10.57702/la9f49vt

DOI retrieved: January 3, 2025

Additional Info

Field Value
Created January 3, 2025
Last update January 3, 2025
Defined In https://doi.org/10.48550/arXiv.2309.12179
Author Eui Jun Hwang
More Authors
Huije Lee
Jong C. Park
Homepage https://github.com/eddie-euijun-hwang/SignVQNet