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Generating natural human grasps necessitates consideration of not just object geometry but also semantic information.
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2021
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Zhang, H., Ye, Y., Shiratori, T., Komura, T.: Manipnet: neural manipulation synthesis with a hand-object spatial representation. ACM TOG (2021)
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Zhu, T., Wu, R., Lin, X., Sun, Y.: Toward human-like grasp: Dexterous grasping via semantic representation of object-hand. In: ICCV (2021)
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2022
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Hampali, S., Sarkar, S.D., Rad, M., Lepetit, V.: Keypoint transformer: Solving joint identification in challenging hands and object interactions for accurate 3d pose estimation. In: CVPR (2022)
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Li, Y., Zhang, L., Qiu, Z., Jiang, Y., Li, N., Ma, Y., Zhang, Y., Xu, L., Yu, J.: Nimble: a non-rigid hand model with bones and muscles. ACM TOG (2022)
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2023
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Xie, W., Yu, Z., Zhao, Z., Zuo, B., Wang, Y.: Hmdo: Markerless multi-view hand manipulation capture with deformable objects. Graphical Models (2023)
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Zhang, J., Zhang, Y., Cun, X., Huang, S., Zhang, Y., Zhao, H., Lu, H., Shen, X.: T2m-gpt: Generating human motion from textual descriptions with discrete representations. In: CVPR (2023)
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Zheng, J., Zheng, Q., Fang, L., Liu, Y., Yi, L.: Cams: Canonicalized manipulation spaces for category-level functional hand-object manipulation synthesis. In: CVPR (2023)
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2024
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2024
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Li, K., Yang, L., Lin, Z., Xu, J., Zhan, X., Zhao, Y., Zhu, P., Kang, W., Wu, K., Lu, C.: Favor: Full-body ar-driven virtual object rearrangement guided by instruction text. Proceedings of the AAAI Conference on Artificial Intelligence (2024)
2024
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2024
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2024
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Yang, L., Zhan, X., Li, K., Xu, W., Zhang, J., Li, J., Lu, C.: Learning a contact potential field for modeling the hand-object interaction. IEEE Transactions on Pattern Analysis and Machine Intelligence (2024)
2024
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