Semantic-driven diffusion for sign language production with gloss-pose latent spaces alignment

Author:

Chen Sheng,Wang Qingshan,Wang Qi

Funder

Hefei University of Technology

Natural Science Foundation of Anhui Province

Publisher

Elsevier BV

Reference60 articles.

1. Latent-shift: Latent diffusion with temporal shift for efficient text-to-video generation;An,2023

2. Camgoz, N.C., Koller, O., Hadfield, S., Bowden, R., 2020. Sign language transformers: Joint end-to-end sign language recognition and translation. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 10023–10033.

3. Spatial–temporal graph transformer with sign mesh regression for skinned-based sign language production;Cui;IEEE Access,2022

4. Degardin, B., Neves, J., Lopes, V., Brito, J., Yaghoubi, E., Proença, H., 2022. Generative adversarial graph convolutional networks for human action synthesis. In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision. pp. 1150–1159.

5. Combinational sign language recognition;Gao;Comput. Vis. Image Underst.,2024

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