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Text-to-motion synthesis is a crucial task in computer vision.
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Guo, C., Zou, S., Zuo, X., Wang, S., Ji, W., Li, X., Cheng, L.: Generating diverse and natural 3d human motions from text. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 5152–5161 (2022)
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Guo, W., Bie, X., Alameda-Pineda, X., Moreno-Noguer, F.: Multi-person extreme motion prediction. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 13053–13064 (2022)
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Ho, J., Salimans, T.: Classifier-free diffusion guidance. arXiv preprint arXiv:2207.12598 (2022)
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Petrovich, M., Black, M.J., Varol, G.: Temos: Generating diverse human motions from textual descriptions. In: European Conference on Computer Vision. pp. 480–497. Springer (2022)
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Chen, X., Jiang, B., Liu, W., Huang, Z., Fu, B., Chen, T., Yu, G.: Executing your commands via motion diffusion in latent space. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 18000–18010 (2023)
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Tanaka, M., Fujiwara, K.: Role-aware interaction generation from textual description. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 15999–16009 (2023)
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Tanke, J., Zhang, L., Zhao, A., Tang, C., Cai, Y., Wang, L., Wu, P.C., Gall, J., Keskin, C.: Social diffusion: Long-term multiple human motion anticipation. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 9601–9611 (2023)
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Chopin, B., Tang, H., Otberdout, N., Daoudi, M., Sebe, N.: Interaction transformer for human reaction generation. IEEE Transactions on Multimedia (2023)
2023
Cited alongside, same era.
2023
Cited alongside, same era.
2023
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Le, N., Pham, T., Do, T., Tjiputra, E., Tran, Q.D., Nguyen, A.: Music-driven group choreography. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 8673–8682 (2023)
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2023
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2023
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2023
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OpenAI: Https://openai.com/blog/chatgpt
Cited in the paper.
2023
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Zhang, L., Rao, A., Agrawala, M.: Adding conditional control to text-to-image diffusion models. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 3836–3847 (2023)
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2023
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2023
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Chopin, B., Tang, H., Daoudi, M.: Bipartite graph diffusion model for human interaction generation. In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision. pp. 5333–5342 (2024)
2024
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Zhang, M., Cai, Z., Pan, L., Hong, F., Guo, X., Yang, L., Liu, Z.: Motiondiffuse: Text-driven human motion generation with diffusion model. IEEE Transactions on Pattern Analysis and Machine Intelligence (2024)
2024
Closest in time.