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We propose the task of Hand-Object Stable Grasp Reconstruction (HO-SGR), the reconstruction of frames during which the hand is stably holding the object.
Cutkosky, M.: On grasp choice, grasp models, and the design of hands for manufacturing tasks. IEEE Transactions on Robotics and Automation 5
1989
Earlier work this paper cites.
Ma, Y., Soatto, S., Kosecka, J., Sastry, S.S.: An Invitation to 3-D Vision: From Images to Geometric Models. SpringerVerlag (2003)
2003
Earlier work this paper cites.
Bullock, I.M., Ma, R.R., Dollar, A.M.: A hand-centric classification of human and robot dexterous manipulation. IEEE Transactions on Haptics 6
2013
Earlier work this paper cites.
Krull, A., Brachmann, E., Michel, F., Yang, M.Y., Gumhold, S., Rother, C.: Learning analysis-by-synthesis for 6d pose estimation in rgb-d images. In: Proceedings of the IEEE International Conference on Computer Vision. pp. 954–962 (2015)
2015
Earlier work this paper cites.
Feix, T., Romero, J., Schmiedmayer, H.B., Dollar, A.M., Kragic, D.: The GRASP Taxonomy of Human Grasp Types. IEEE Transactions on Human-Machine Systems 46
2016
Earlier work this paper cites.
Lomonaco, V., Maltoni, D.: Core50: a new dataset and benchmark for continuous object recognition. In: Conference on Robot Learning. pp. 17–26 (2017)
2017
Earlier work this paper cites.
Romero, J., Tzionas, D., Black, M.J.: Embodied Hands: Modeling and Capturing Hands and Bodies Together. ACM Trans. Graph 36
2017
Earlier work this paper cites.
2017
Earlier work this paper cites.
Community, B.O.: Blender - a 3D modelling and rendering package. Blender Foundation, Stichting Blender Foundation, Amsterdam (2018), http://www.blender.org
2018
Earlier work this paper cites.
Damen, D., Doughty, H., Farinella, G.M., Fidler, S., Furnari, A., Kazakos, E., Moltisanti, D., Munro, J., Perrett, T., Price, W., et al.: Scaling egocentric vision: The epic-kitchens dataset. In: Proceedings of the European Conference on Computer Vision (ECCV). pp. 720–736 (2018)
2018
Earlier work this paper cites.
Garcia-Hernando, G., Yuan, S., Baek, S., Kim, T.: First-person hand action benchmark with RGB-D videos and 3d hand pose annotations. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 409–419 (2018)
2018
Earlier work this paper cites.
Kato, H., Ushiku, Y., Harada, T.: Neural 3d mesh renderer. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 3907–3916 (2018)
2018
Earlier work this paper cites.
Hasson, Y., Varol, G., Tzionas, D., Kalevatykh, I., Black, M.J., Laptev, I., Schmid, C.: Learning joint reconstruction of hands and manipulated objects. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 11807–11816 (2019)
2019
Earlier work this paper cites.
Tekin, B., Bogo, F., Pollefeys, M.: H+O: unified egocentric recognition of 3d hand-object poses and interactions. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 4511–4520 (2019)
2019
Earlier work this paper cites.
Brahmbhatt, S., Tang, C., Twigg, C.D., Kemp, C.C., Hays, J.: Contactpose: A dataset of grasps with object contact and hand pose. In: Proceedings of the European Conference on Computer Vision (ECCV). pp. 361–378 (2020)
2020
Earlier work this paper cites.
Hampali, S., Rad, M., Oberweger, M., Lepetit, V.: Honnotate: A method for 3d annotation of hand and object poses. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 3193–3203 (2020)
2020
Earlier work this paper cites.
Hodan, T., Barath, D., Matas, J.: EPOS: Estimating 6d pose of objects with symmetries. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 11703–11712 (2020)
2020
Earlier work this paper cites.
Karunratanakul, K., Yang, J., Zhang, Y., Black, M.J., Muandet, K., Tang, S.: Grasping field: Learning implicit representations for human grasps. In: 2020 International Conference on 3D Vision (3DV). pp. 333–344 (2020)
2020
Cited alongside, same era.
Sucar, E., Wada, K., Davison, A.: NodeSLAM: Neural Object Descriptors for Multi-View Shape Reconstruction. In: Proceedings of the International Conference on 3D Vision (3DV) (2020)
2020
Cited alongside, same era.
Taheri, O., Ghorbani, N., Black, M.J., Tzionas, D.: Grab: A dataset of whole-body human grasping of objects. In: Proceedings of the European Conference on Computer Vision (ECCV). pp. 581–600 (2020)
2020
Cited alongside, same era.
Zhang, J.Y., Pepose, S., Joo, H., Ramanan, D., Malik, J., Kanazawa, A.: Perceiving 3d human-object spatial arrangements from a single image in the wild. In: Proceedings of the European Conference on Computer Vision (ECCV). pp. 34–51 (2020)
2020
Cited alongside, same era.
Liu, Y., Liu, Y., Jiang, C., Lyu, K., Wan, W., Shen, H., Liang, B., Fu, Z., Wang, H., Yi, L.: Hoi4d: A 4d egocentric dataset for category-level human-object interaction. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 21013–21022 (2022)
2022
Later among the works it cites.
2022
Later among the works it cites.
Sener, F., Chatterjee, D., Shelepov, D., He, K., Singhania, D., Wang, R., Yao, A.: Assembly101: A large-scale multi-view video dataset for understanding procedural activities. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 21096–21106 (2022)
2022
Later among the works it cites.
Tse, T.H.E., Kim, K.I., Leonardis, A., Chang, H.J.: Collaborative learning for hand and object reconstruction with attention-guided graph convolution. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 1664–1674 (2022)
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Cao, Z., Radosavovic, I., Kanazawa, A., Malik, J.: Reconstructing hand-object interactions in the wild. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 12417–12426 (2021)
2021
Cited alongside, same era.
Chao, Y.W., Yang, W., Xiang, Y., Molchanov, P., Handa, A., Tremblay, J., Narang, Y.S., Van Wyk, K., Iqbal, U., Birchfield, S., et al.: Dexycb: A benchmark for capturing hand grasping of objects. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 9044–9053 (2021)
2021
Cited alongside, same era.
Hasson, Y., Varol, G., Schmid, C., Laptev, I.: Towards unconstrained joint hand-object reconstruction from rgb videos. In: 2021 International Conference on 3D Vision (3DV). pp. 659–668 (2021)
2021
Cited alongside, same era.
Kwon, T., Tekin, B., Stühmer, J., Bogo, F., Pollefeys, M.: H2o: Two hands manipulating objects for first person interaction recognition. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 10138–10148 (2021)
2021
Cited alongside, same era.
Lin, K., Wang, L., Liu, Z.: End-to-end human pose and mesh reconstruction with transformers. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (2021)
2021
Cited alongside, same era.
Liu, S., Jiang, H., Xu, J., Liu, S., Wang, X.: Semi-supervised 3d hand-object poses estimation with interactions in time. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 14687–14697 (2021)
2021
Cited alongside, same era.
Rong, Y., Shiratori, T., Joo, H.: Frankmocap: A monocular 3d whole-body pose estimation system via regression and integration. In: Proceedings of the IEEE/CVF International Conference on Computer Vision Workshop. pp. 1749–1759 (2021)
2021
Cited alongside, same era.
Yang, L., Zhan, X., Li, K., Xu, W., Li, J., Lu, C.: Cpf: Learning a contact potential field to model the hand-object interaction. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 11097–11106 (2021)
2021
Cited alongside, same era.
2022
Later among the works it cites.
Yang, L., Li, K., Zhan, X., Lv, J., Xu, W., Li, J., Lu, C.: Artiboost: Boosting articulated 3d hand-object pose estimation via online exploration and synthesis. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 2750–2760 (2022)
2022
Later among the works it cites.
Yang, L., Li, K., Zhan, X., Wu, F., Xu, A., Liu, L., Lu, C.: Oakink: A large-scale knowledge repository for understanding hand-object interaction. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 20953–20962 (2022)
2022
Later among the works it cites.
Ye, Y., Gupta, A., Tulsiani, S.: What’s in your hands? 3d reconstruction of generic objects in hands. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 3895–3905 (2022)
2022
Later among the works it cites.
Aboukhadra, A.T., Malik, J., Elhayek, A., Robertini, N., Stricker, D.: Thor-net: End-to-end graformer-based realistic two hands and object reconstruction with self-supervision. In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision. pp. 1001–1010 (2023)
2023
Closest in time.
Fan, Z., Taheri, O., Tzionas, D., Kocabas, M., Kaufmann, M., Black, M.J., Hilliges, O.: ARCTIC: A dataset for dexterous bimanual hand-object manipulation. In: Proceedings IEEE Conference on Computer Vision and Pattern Recognition (2023)
2023
Closest in time.
Hampali, S., Hodan, T., Tran, L., Ma, L., Keskin, C., Lepetit, V.: In-hand 3d object scanning from an rgb sequence. In: Proceedings IEEE Conference on Computer Vision and Pattern Recognition (2023)
2023
Closest in time.
Prakash, A., Tu, R., Chang, M., Gupta, S.: 3d hand pose estimation in egocentric images in the wild. arXiv 2312.06583
2023
Closest in time.
Swamy, A., Leroy, V., Weinzaepfel, P., Baradel, F., Galaaoui, S., Brégier, R., Armando, M., Franco, J.S., Rogez, G.: Showme: Benchmarking object-agnostic hand-object 3d reconstruction. In: Proceedings of the IEEE/CVF International Conference on Computer Vision Workshop. pp. 1935–1944 (2023)
2023
Closest in time.
Wang, R., Mao, W., Li, H.: Interacting hand-object pose estimation via dense mutual attention. In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision. pp. 5735–5745 (2023)
2023
Closest in time.
Ye, Y., Hebbar, P., Gupta, A., Tulsiani, S.: Diffusion-guided reconstruction of everyday hand-object interaction clips. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 19717–19728 (2023)
2023
Closest in time.
Fan, Z., Parelli, M., Kadoglou, M.E., Kocabas, M., Chen, X., Black, M.J., Hilliges, O.: HOLD: Category-agnostic 3d reconstruction of interacting hands and objects from video. In: Proceedings IEEE Conference on Computer Vision and Pattern Recognition (2024)
2024
Closest in time.
Pavlakos, G., Shan, D., Radosavovic, I., Kanazawa, A., Fouhey, D., Malik, J.: Reconstructing hands in 3d with transformers. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (2024)
2024
Closest in time.