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Human motion generation, a cornerstone technique in animation and video production, has widespread applications in various tasks like text-to-motion and music-to-dance.
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Azadi, S., Shah, A., Hayes, T., Parikh, D., Gupta, S.: Make-an-animation: Large-scale text-conditional 3d human motion generation. In: IEEE/CVF International Conference on Computer Vision, ICCV 2023, Paris, France, October 1-6, 2023. pp. 14993–15002 (2023)
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Barquero, G., Escalera, S., Palmero, C.: Belfusion: Latent diffusion for behavior-driven human motion prediction. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 2317–2327 (2023)
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Castillo, A., Escobar, M., Jeanneret, G., Pumarola, A., Arbeláez, P., Thabet, A., Sanakoyeu, A.: Bodiffusion: Diffusing sparse observations for full-body human motion synthesis (2023)
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Chen, L.H., Zhang, J., Li, Y., Pang, Y., Xia, X., Liu, T.: Humanmac: Masked motion completion for human motion prediction (2023)
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Dabral, R., Mughal, M.H., Golyanik, V., Theobalt, C.: Mofusion: A framework for denoising-diffusion-based motion synthesis. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 9760–9770 (2023)
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