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Hands are the main medium when people interact with the world.
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
Chung, J.; Gulcehre, C.; Cho, K.; and Bengio, Y. 2014 · 2014
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Recurrent Network Models for Human Dynamics
Fragkiadaki, K.; Levine, S.; Felsen, P.; and Malik, J. 2015 · 2015
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Pointnet: Deep Learning on Point Sets for 3D Classification and Segmentation
Qi, C. R.; Su, H.; Mo, K.; and Guibas, L. J. 2017 · 2017
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Embodied Hands: Modeling and Capturing Hands and Bodies Together
Romero, J.; Tzionas, D.; and Black, M. J. 2017 · 2017
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Efficient Physics-Based Implementation for Realistic Hand-Object Interaction in Virtual Reality
Höll, M.; Oberweger, M.; Arth, C.; and Lepetit, V. 2018 · 2018
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Contactgrasp: Functional Multi-Finger Grasp Synthesis from Contact
Brahmbhatt, S.; Handa, A.; Hays, J.; and Fox, D. 2019 · 2019
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Virtual Grasping Feedback and Virtual Hand Ownership
Canales, R.; Normoyle, A.; Sun, Y.; Ye, Y.; Luca, M. D.; and Jörg, S. 2019 · 2019
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Learning Joint Reconstruction of Hands and Manipulated Objects
Hasson, Y.; Varol, G.; Tzionas, D.; Kalevatykh, I.; Black, M. J.; Laptev, I.; and Schmid, C. 2019 · 2019
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Hope-Net: A Graph-Based Model for Hand-Object Pose Estimation
Doosti, B.; Naha, S.; Mirbagheri, M.; and Crandall, D. J. 2020 · 2020
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Honnotate: A Method for 3D Annotation of Hand and Object Poses
Hampali, S.; Rad, M.; Oberweger, M.; and Lepetit, V. 2020 · 2020
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Leveraging Photometric Consistency Over Time or Sparsely Supervised Hand-Object Reconstruction
Hasson, Y.; Tekin, B.; Bogo, F.; Laptev, I.; Pollefeys, M.; and Schmid, C. 2020 · 2020
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GRAB: A Dataset of Whole-Body Human Grasping of Objects
Taheri, O.; Ghorbani, N.; Black, M. J.; and Tzionas, D. 2020 · 2020
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Bayesian Adversarial Human Motion Synthesis
Zhao, R.; Su, H.; and Ji, Q. 2020 · 2020
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Joint Hand-Object 3D Reconstruction from a Single Image with Cross-Branch Feature Fusion
Chen, Y.; Tu, Z.; Kang, D.; Chen, R.; Bao, L.; Zhang, Z.; and Yuan, J. 2021 · 2021
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Point 4D Transformer Networks for Spatio-Temporal Modeling in Point Cloud Videos
Fan, H.; Yang, Y.; and Kankanhalli, M. 2021 · 2021
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Deep Hierarchical Representation of Point Cloud Videos via Spatio-Temporal Decomposition
Fan, H.; Yu, X.; Yang, Y.; and Kankanhalli, M. 2021 · 2021
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Learning to Dance: A Graph Convolutional Adversarial Network to Generate Realistic Dance Motions from Audio
Ferreira, J. P.; Coutinho, T. M.; Gomes, T. L.; Neto, J. F.; Azevedo, R.; Martins, R.; and Nascimento, E. R. 2021 · 2021
Cited alongside, same era.
Contactopt: Optimizing Contact to Improve Grasps
Grady, P.; Tang, C.; Twigg, C. D.; Vo, M.; Brahmbhatt, S.; and Kemp, C. C. 2021 · 2021
Cited alongside, same era.
Towards Unconstrained Joint Hand-Object Reconstruction from RGB Videos
Hasson, Y.; Varol, G.; Schmid, C.; and Laptev, I. 2021 · 2021
Cited alongside, same era.
Hand-Object Contact Consistency Reasoning for Human Grasps Generation
Jiang, H.; Liu, S.; Wang, J.; and Wang, X. 2021 · 2021
Cited alongside, same era.
Body2hands: Learning to Infer 3D Hands from Conversational Gesture Body Dynamics
Ng, E.; Ginosar, S.; Darrell, T.; and Joo, H. 2021 · 2021
Cited alongside, same era.
Humor: 3D Human Motion Model for Robust Pose Estimation
Motiondiffuse: Text-driven Human Motion Generation with Diffusion Model
Zhang, M.; Cai, Z.; Pan, L.; Hong, F.; Guo, X.; Yang, L.; and Liu, Z. 2022 · 2022
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Toch: Spatio-Temporal Object-to-Hand Correspondence for Motion Refinement
Zhou, K.; Bhatnagar, B. L.; Lenssen, J. E.; and Pons-Moll, G. 2022 · 2022
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DexArt: Benchmarking Generalizable Dexterous Manipulation with Articulated Objects
Bao, C.; Xu, H.; Qin, Y.; and Wang, X. 2023 · 2023
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Tracking and Reconstructing Hand Object Interactions from Point Cloud Sequences in the Wild
Chen, J.; Yan, M.; Zhang, J.; Xu, Y.; Li, X.; Weng, Y.; Yi, L.; Song, S.; and Wang, H. 2023 · 2023
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ARCTIC: A Dataset for Dexterous Bimanual Hand-Object Manipulation
Fan, Z.; Taheri, O.; Tzionas, D.; Kocabas, M.; Kaufmann, M.; Black, M. J.; and Hilliges, O. 2023 · 2023
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Rempe, D.; Birdal, T.; Hertzmann, A.; Yang, J.; Sridhar, S.; and Guibas, L. J. 2021 · 2021
Cited alongside, same era.
CPF: Learning a Contact Potential Field to Model the Hand-Object Interaction
Yang, L.; Zhan, X.; Li, K.; Xu, W.; Li, J.; and Lu, C. 2021 · 2021
Cited alongside, same era.
Manipnet: Neural Manipulation Synthesis with a Hand-Object Spatial Representation
Zhang, H.; Ye, Y.; Shiratori, T.; and Komura, T. 2021 · 2021
Cited alongside, same era.
Point Spatio-Temporal Transformer Networks for Point Cloud Video Modeling
Fan, H.; Yang, Y.; and Kankanhalli, M. 2022 · 2022
Cited alongside, same era.
PSTNet: Point Spatio-Temporal Convolution on Point Cloud Sequences
Fan, H.; Yu, X.; Ding, Y.; Yang, Y.; and Kankanhalli, M. 2022 · 2022
Cited alongside, same era.
Tm2t: Stochastic and Tokenized Modeling for the Reciprocal Generation of 3D Human Motions and Texts
Guo, C.; Zuo, X.; Wang, S.; and Cheng, L. 2022 · 2022
Cited alongside, same era.
GOAL: Generating 4D Whole-Body Motion for Hand-Object Grasping
Taheri, O.; Choutas, V.; Black, M. J.; and Tzionas, D. 2022 · 2022
Cited alongside, same era.
Harmonious Feature Learning for Interactive Hand-Object Pose Estimation
Lin, Z.; Ding, C.; Yao, H.; Kuang, Z.; and Huang, S. 2023 · 2023
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LeaF: Learning Frames for 4D Point Cloud Sequence Understanding
Liu, Y.; Chen, J.; Zhang, Z.; Huang, J.; and Yi, L. 2023 · 2023
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Diverse 3D Hand Gesture Prediction from Body Dynamics by Bilateral Hand Disentanglement
Qi, X.; Liu, C.; Sun, M.; Li, L.; Fan, C.; and Yu, X. 2023 · 2023
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Dexpoint: Generalizable Point Cloud Reinforcement Learning for Sim-to-Real Dexterous Manipulation
Qin, Y.; Huang, B.; Yin, Z.-H.; Su, H.; and Wang, X. 2023 · 2023
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PointCMP: Contrastive Mask Prediction for Self-Supervised Learning on Point Cloud Videos
Shen, Z.; Sheng, X.; Wang, L.; Guo, Y.; Liu, Q.; and Zhou, X. 2023 · 2023
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Contrastive Predictive Autoencoders for Dynamic Point Cloud Self-Supervised Learning
Sheng, X.; Shen, Z.; and Xiao, G. 2023 · 2023
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Human Motion Diffusion Model
Tevet, G.; Raab, S.; Gordon, B.; Shafir, Y.; Cohen-or, D.; and Bermano, A. H. 2023 · 2023
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Unidexgrasp: Universal Robotic Dexterous Grasping via Learning Diverse Proposal Generation and Goal-Conditioned Policy
Xu, Y.; Wan, W.; Zhang, J.; Liu, H.; Shan, Z.; Shen, H.; Wang, R.; Geng, H.; Weng, Y.; Chen, J.; et al. 2023 · 2023
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T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations
Zhang, J.; Zhang, Y.; Cun, X.; Huang, S.; Zhang, Y.; Zhao, H.; Lu, H.; and Shen, X. 2023 · 2023
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Bidirectional Transformer gan for Long-term Human Motion Prediction
Zhao, M.; Tang, H.; Xie, P.; Dai, S.; Sebe, N.; and Wang, W. 2023 · 2023
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CAMS: Canonicalized Manipulation Spaces for Category-Level Functional Hand-Object Manipulation Synthesis
Zheng, J.; Zheng, Q.; Fang, L.; Liu, Y.; and Yi, L. 2023 · 2023
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