Dynamic GAN for high-quality sign language video generation from skeletal poses using generative adversarial networks

B Natarajan; R Elakkiya

doi:10.1007/s00500-022-07014-x

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Dynamic GAN for high-quality sign language video generation from skeletal poses using generative adversarial networks

B Natarajan R Elakkiya

Year: 2022 Journal: Soft Computing Vol: 26 (23)Pages: 13153-13175 Publisher: Springer Science+Business Media

DOI: 10.1007/s00500-022-07014-x

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Keywords:

Computer science Artificial intelligence Video quality Benchmark (surveying) Discriminator Sign language Generator (circuit theory) Adversarial system Machine learning Pattern recognition (psychology)

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Advanced Image Processing Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Generative Adversarial Networks and Image Synthesis

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Human Pose and Action Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Dynamic GAN for high-quality sign language video generation from skeletal poses using generative adversarial networks

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Citation History

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