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Synthesizing semantic-aware, long-horizon, human-object interaction is critical to simulate realistic human behaviors.
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Manolis Savva*, Abhishek Kadian*, Oleksandr Maksymets*, Zhao, Y., Wijmans, E., Jain, B., Straub, J., Liu, J., Koltun, V., Malik, J., Parikh, D., Batra, D.: Habitat: A Platform for Embodied AI Research. In: ICCV (2019)
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Taheri, O., Ghorbani, N., Black, M.J., Tzionas, D.: GRAB: A dataset of whole-body human grasping of objects. In: ECCV (2020)
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Dhariwal, P., Nichol, A.: Diffusion models beat gans on image synthesis. In: NeurIPS (2021)
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Fu, H., Jia, R., Gao, L., Gong, M., Zhao, B., Maybank, S., Tao, D.: 3D-FUTURE: 3D furniture shape with texture. International Journal of Computer Vision 129
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Guzov, V., Mir, A., Sattler, T., Pons-Moll, G.: Human POSEitioning System (HPS): 3D human pose estimation and self-localization in large scenes from body-mounted sensors. In: CVPR (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 (2021)
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Szot, A., Clegg, A., Undersander, E., Wijmans, E., Zhao, Y., Turner, J., Maestre, N., Mukadam, M., Chaplot, D., Maksymets, O., Gokaslan, A., Vondrus, V., Dharur, S., Meier, F., Galuba, W., Chang, A., Kira, Z., Koltun, V., Malik, J., Savva, M., Batra, D.: Habitat 2.0: Training home assistants to rearrange their habitat. In: NeurIPS (2021)
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Wang, J., Xu, H., Xu, J., Liu, S., Wang, X.: Synthesizing long-term 3D human motion and interaction in 3D scenes. In: CVPR (2021)
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Bhatnagar, B.L., Xie, X., Petrov, I.A., Sminchisescu, C., Theobalt, C., Pons-Moll, G.: BEHAVE: Dataset and method for tracking human object interactions. In: CVPR (2022)
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Christen, S., Kocabas, M., Aksan, E., Hwangbo, J., Song, J., Hilliges, O.: D-Grasp: Physically plausible dynamic grasp synthesis for hand-object interactions. In: CVPR (2022)
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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: CVPR (2022)
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Guo, C., Zuo, X., Wang, S., Cheng, L.: TM2T: Stochastic and tokenized modeling for the reciprocal generation of 3d human motions and texts. In: ECCV (2022)
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Petrovich, M., Black, M.J., Varol, G.: TEMOS: Generating diverse human motions from textual descriptions. In: ECCV (2022)
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Li, J., Liu, K., Wu, J.: Ego-body pose estimation via ego-head pose estimation. In: CVPR (2023)
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Li, J., Wu, J., Liu, C.K.: Object motion guided human motion synthesis. ACM Trans. Graph. 42
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Cited alongside, same era.
Taheri, O., Choutas, V., Black, M.J., Tzionas, D.: GOAL: Generating 4d whole-body motion for hand-object grasping. In: CVPR (2022)
2022
Cited alongside, same era.
Tevet, G., Gordon, B., Hertz, A., Bermano, A.H., Cohen-Or, D.: Motionclip: Exposing human motion generation to clip space. In: ECCV (2022)
2022
Cited alongside, same era.
Wan, W., Yang, L., Liu, L., Zhang, Z., Jia, R., Choi, Y.K., Pan, J., Theobalt, C., Komura, T., Wang, W.: Learn to predict how humans manipulate large-sized objects from interactive motions. IEEE Robotics and Automation Letters 7
2022
Cited alongside, same era.
Wang, J., Rong, Y., Liu, J., Yan, S., Lin, D., Dai, B.: Towards diverse and natural scene-aware 3D human motion synthesis. In: CVPR (2022)
2022
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Wang, Z., Chen, Y., Liu, T., Zhu, Y., Liang, W., Huang, S.: HUMANISE: Language-conditioned human motion generation in 3d scenes. In: NeurIPS (2022)
2022
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Wu, Y., Wang, J., Zhang, Y., Zhang, S., Hilliges, O., Yu, F., Tang, S.: SAGA: Stochastic whole-body grasping with contact. In: ECCV (2022)
2022
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2022
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2023
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2023
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Petrov, I.A., Marin, R., Chibane, J., Pons-Moll, G.: Object pop-up: Can we infer 3D objects and their poses from human interactions alone? In: CVPR (2023)
2023
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Rempe, D., Luo, Z., Bin Peng, X., Yuan, Y., Kitani, K., Kreis, K., Fidler, S., Litany, O.: Trace and pace: Controllable pedestrian animation via guided trajectory diffusion. In: CVPR (2023)
2023
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Shafir, Y., Tevet, G., Kapon, R., Bermano, A.H.: Human motion diffusion as a generative prior. In: ICLR (2023)
2023
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2023
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Tevet, G., Raab, S., Gordon, B., Shafir, Y., Bermano, A.H., Cohen-Or, D.: Human motion diffusion model. In: ICLR (2023)
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Tseng, J., Castellon, R., Liu, C.K.: EDGE: Editable dance generation from music. In: CVPR (2023)
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Xie, Z., Tseng, J., Starke, S., van de Panne, M., Liu, C.K.: Hierarchical planning and control for box loco-manipulation. Symposium on Computer Animation (SCA) (2023)
2023
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Xu, S., Li, Z., Wang, Y.X., Gui, L.Y.: InterDiff: Generating 3D human-object interactions with physics-informed diffusion. In: ICCV (2023)
2023
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Yuan, Y., Song, J., Iqbal, U., Vahdat, A., Kautz, J.: Physdiff: Physics-guided human motion diffusion model. In: ICCV (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)
2023
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Braun, J., Christen, S., Kocabas, M., Aksan, E., Hilliges, O.: Physically plausible full-body hand-object interaction synthesis. In: 3DV (2024)
2024
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Diller, C., Dai, A.: CG-HOI: Contact-guided 3D human-object interaction generation. In: CVPR (2024)
2024
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Mir, A., Puig, X., Kanazawa, A., Pons-Moll, G.: Generating continual human motion in diverse 3D scenes. In: 3DV (2024)
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Raab, S., Leibovitch, I., Tevet, G., Arar, M., Bermano, A.H., Cohen-Or, D.: Single motion diffusion. In: ICLR (2024)
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