Dance Information Processing: Computational Approaches for Assisting Dance Composition
Author:
Funder
Japan Society for the Promotion of Science
Dance Information Processing
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00354-024-00273-2.pdf
Reference66 articles.
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2. Li, R., Yang, S., Ross, D.A., Kanazawa, A.: Ai choreographer: music conditioned 3D dance generation with AIST++. In: Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision. ICCV’21, pp. 13381–13392 (2021). https://doi.org/10.1109/ICCV48922.2021.01315
3. Tseng, J., Castellon, R., Liu, K.: Edge: Editable dance generation from music. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. CVPR’23, pp. 448–458 (2023). https://doi.org/10.1109/CVPR52729.2023.00051
4. Zhou, Q., Chua, C.C., Knibbe, J., Goncalves, J., Velloso, E.: Dance and choreography in HCI: a two-decade retrospective. In: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. CHI’21 (2021). https://doi.org/10.1145/3411764.3445804
5. Ciolfi Felice, M., Fdili Alaoui, S., Mackay, W.E.: Knotation: exploring and documenting choreographic processes. In: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems. CHI’18, pp. 1–12 (2018). https://doi.org/10.1145/3173574.3174022
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