Recently, a product calledSignLLMMultilingualSign LanguageThe model has attracted widespread attention.FirstA model that can generate sign language gestures from input text.
SignLLM uses the rich "Prompt2Sign" multilingual sign language dataset to ensure that the generated sign language video movements are natural and coherent. In the past, sign language translation often required the participation of professional sign language interpreters, which was inefficient. The emergence of SignLLM provides instant and autonomous sign language conversion services for the hearing-impaired, greatly improving communication efficiency and allowing them to better integrate into society.
This model can generate sign language gestures from input text, subverting the traditional sign language translation model. However, some people are worried about whether the hand deformation effect of this model is real and credible. Some users said that they do not understand sign language, so it is difficult to evaluate the accuracy of this model. At present, the model has released 9 examples with links, which has attracted a lot of attention and discussion.
Currently, SignLLM has released 9 examples and provided relevant links, so that users can have a deeper understanding of the performance of this model. It is hoped that this technology can provide convenience for more people and allow more people to benefit from the convenience and diversity of sign language communication.