Dataset Groups Activity Stream SignVQNet Sign language Vector Quantization Network (SignVQNet) leverages discrete spatio-temporal representations of sign poses to generate accurate and realistic sign pose sequences. BibTex: @dataset{Eui_Jun_Hwang_and_Huije_Lee_and_Jong_C_Park_2025, abstract = {Sign language Vector Quantization Network (SignVQNet) leverages discrete spatio-temporal representations of sign poses to generate accurate and realistic sign pose sequences.}, author = {Eui Jun Hwang and Huije Lee and Jong C. Park}, doi = {10.57702/la9f49vt}, institution = {No Organization}, keyword = {'Discrete Representation', 'Sign Language', 'Vector Quantization'}, month = {jan}, publisher = {TIB}, title = {SignVQNet}, url = {https://service.tib.eu/ldmservice/dataset/signvqnet}, year = {2025} }
