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This work introduces MotionLCM, extending controllable motion generation to a real-time level.
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Petrovich, M., Black, M.J., Varol, G.: Action-conditioned 3d human motion synthesis with transformer vae. In: ICCV. pp. 10985–10995 (2021)
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Punnakkal, A.R., Chandrasekaran, A., Athanasiou, N., Quiros-Ramirez, A., Black, M.J.: Babel: Bodies, action and behavior with english labels. In: CVPR. pp. 722–731 (2021)
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Barquero, G., Escalera, S., Palmero, C.: Seamless human motion composition with blended positional encodings. In: CVPR. pp. 457–469 (2024)
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Jiang, B., Chen, X., Liu, W., Yu, J., Yu, G., Chen, T.: Motiongpt: Human motion as a foreign language. NeurIPS (2024)
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Li, R., Zhang, Y., Zhang, Y., Zhang, H., Guo, J., Zhang, Y., Liu, Y., Li, X.: Lodge: A coarse to fine diffusion network for long dance generation guided by the characteristic dance primitives. In: CVPR. pp. 1524–1534 (2024)
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Shafir, Y., Tevet, G., Kapon, R., Bermano, A.H.: Human motion diffusion as a generative prior. In: ICLR (2024)
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Wang, Z., Chen, Y., Jia, B., Li, P., Zhang, J., Zhang, J., Liu, T., Zhu, Y., Liang, W., Huang, S.: Move as you say interact as you can: Language-guided human motion generation with scene affordance. In: CVPR. pp. 433–444 (2024)
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Xiao, Z., Wang, T., Wang, J., Cao, J., Zhang, W., Dai, B., Lin, D., Pang, J.: Unified human-scene interaction via prompted chain-of-contacts. In: ICLR (2024)
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Xu, L., Zhou, Y., Yan, Y., Jin, X., Zhu, W., Rao, F., Yang, X., Zeng, W.: Regennet: Towards human action-reaction synthesis. In: CVPR. pp. 1759–1769 (2024)
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