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This work presents improvements in monocular hand shape estimation by building on top of recent advances in unsupervised learning.
Qiao, S., Wang, H., Liu, C., Shen, W., Yuille, A.L.: Weight standardization. CoRR abs/1903.10520
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Romero, J., Tzionas, D., Black, M.J.: Embodied hands: modeling and capturing hands and bodies together. ACM Trans. Graph. 36
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Simon, T., Joo, H., Matthews, I.A., Sheikh, Y.: Hand keypoint detection in single images using multiview bootstrapping. In: 2017 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, Honolulu, HI, USA, July 21-26, 2017. pp. 4645–4653. IEEE Computer Society (2017). https://doi.org/10.1109/CVPR.2017.494, https://doi.org/10.1109/CVPR.2017.494
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Tsai, Y., Shen, X., Lin, Z., Sunkavalli, K., Lu, X., Yang, M.: Deep image harmonization. In: 2017 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, Honolulu, HI, USA, July 21-26, 2017. pp. 2799–2807. IEEE Computer Society (2017). https://doi.org/10.1109/CVPR.2017.299, https://doi.org/10.1109/CVPR.2017.299
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Zhang, R., Zhu, J., Isola, P., Geng, X., Lin, A.S., Yu, T., Efros, A.A.: Real-time user-guided image colorization with learned deep priors. ACM Trans. Graph. 36
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Hasson, Y., Varol, G., Tzionas, D., Kalevatykh, I., Black, M.J., Laptev, I., Schmid, C.: Learning joint reconstruction of hands and manipulated objects. In: IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2019, Long Beach, CA, USA, June 16-20, 2019. pp. 11807–11816. Computer Vision Foundation / IEEE (2019). https://doi.org/10.1109/CVPR.2019.01208, http://openaccess.thecvf.com/content˙CVPR˙2019/html/Hasson˙Learning˙Joint˙Reconstruction˙of˙Hands˙and˙Manipulated˙Objects˙CVPR˙2019˙paper.html
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Malik, J., Elhayek, A., Stricker, D.: Whsp-net: A weakly-supervised approach for 3d hand shape and pose recovery from a single depth image. Sensors 19
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Wan, C., Probst, T., Gool, L.V., Yao, A.: Self-supervised 3d hand pose estimation through training by fitting. In: IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2019, Long Beach, CA, USA, June 16-20, 2019. pp. 10853–10862. Computer Vision Foundation / IEEE (2019). https://doi.org/10.1109/CVPR.2019.01111, http://openaccess.thecvf.com/content˙CVPR˙2019/html/Wan˙Self-Supervised˙3D˙Hand˙Pose˙Estimation˙Through˙Training˙by˙Fitting˙CVPR˙2019˙paper.html
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Cai, Y., Ge, L., Cai, J., Yuan, J.: Weakly-supervised 3d hand pose estimation from monocular RGB images. In: Ferrari, V., Hebert, M., Sminchisescu, C., Weiss, Y. (eds.) Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part VI. Lecture Notes in Computer Science, vol. 11210, pp. 678–694. Springer (2018). https://doi.org/10.1007/978-3-030-01231-1_41, https://doi.org/10.1007/978-3-030-01231-1˙41
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Caron, M., Bojanowski, P., Joulin, A., Douze, M.: Deep clustering for unsupervised learning of visual features. In: Ferrari, V., Hebert, M., Sminchisescu, C., Weiss, Y. (eds.) Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part XIV. Lecture Notes in Computer Science, vol. 11218, pp. 139–156. Springer (2018). https://doi.org/10.1007/978-3-030-01264-9_9, https://doi.org/10.1007/978-3-030-01264-9˙9
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Garcia-Hernando, G., Yuan, S., Baek, S., Kim, T.: First-person hand action benchmark with RGB-D videos and 3d hand pose annotations. In: 2018 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2018, Salt Lake City, UT, USA, June 18-22, 2018. pp. 409–419. IEEE Computer Society (2018). https://doi.org/10.1109/CVPR.2018.00050, http://openaccess.thecvf.com/content˙cvpr˙2018/html/Garcia-Hernando˙First-Person˙Hand˙Action˙CVPR˙2018˙paper.html
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Kanazawa, A., Black, M.J., Jacobs, D.W., Malik, J.: End-to-end recovery of human shape and pose. In: 2018 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2018, Salt Lake City, UT, USA, June 18-22, 2018. pp. 7122–7131. IEEE Computer Society (2018). https://doi.org/10.1109/CVPR.2018.00744, http://openaccess.thecvf.com/content˙cvpr˙2018/html/Kanazawa˙End-to-End˙Recovery˙of˙CVPR˙2018˙paper.html
2018
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2018
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Rhodin, H., Spörri, J., Katircioglu, I., Constantin, V., Meyer, F., Müller, E., Salzmann, M., Fua, P.: Learning monocular 3d human pose estimation from multi-view images. In: 2018 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2018, Salt Lake City, UT, USA, June 18-22, 2018. pp. 8437–8446. IEEE Computer Society (2018). https://doi.org/10.1109/CVPR.2018.00880, http://openaccess.thecvf.com/content˙cvpr˙2018/html/Rhodin˙Learning˙Monocular˙3D˙CVPR˙2018˙paper.html
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Spurr, A., Song, J., Park, S., Hilliges, O.: Cross-modal deep variational hand pose estimation. In: 2018 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2018, Salt Lake City, UT, USA, June 18-22, 2018. pp. 89–98. IEEE Computer Society (2018). https://doi.org/10.1109/CVPR.2018.00017, http://openaccess.thecvf.com/content˙cvpr˙2018/html/Spurr˙Cross-Modal˙Deep˙Variational˙CVPR˙2018˙paper.html
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Baek, S., Kim, K.I., Kim, T.: Pushing the envelope for rgb-based dense 3d hand pose estimation via neural rendering. In: IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2019, Long Beach, CA, USA, June 16-20, 2019. pp. 1067–1076. Computer Vision Foundation / IEEE (2019). https://doi.org/10.1109/CVPR.2019.00116, http://openaccess.thecvf.com/content˙CVPR˙2019/html/Baek˙Pushing˙the˙Envelope˙for˙RGB-Based˙Dense˙3D˙Hand˙Pose˙Estimation˙CVPR˙2019˙paper.html
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Yao, Y., Jafarian, Y., Park, H.S.: MONET: multiview semi-supervised keypoint detection via epipolar divergence. In: 2019 IEEE/CVF International Conference on Computer Vision, ICCV 2019, Seoul, Korea (South), October 27 - November 2, 2019. pp. 753–762. IEEE (2019). https://doi.org/10.1109/ICCV.2019.00084, https://doi.org/10.1109/ICCV.2019.00084
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Zimmermann, C., Ceylan, D., Yang, J., Russell, B.C., Argus, M.J., Brox, T.: Freihand: A dataset for markerless capture of hand pose and shape from single RGB images. In: 2019 IEEE/CVF International Conference on Computer Vision, ICCV 2019, Seoul, Korea (South), October 27 - November 2, 2019. pp. 813–822. IEEE (2019). https://doi.org/10.1109/ICCV.2019.00090, https://doi.org/10.1109/ICCV.2019.00090
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2020
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2020
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He, K., Fan, H., Wu, Y., Xie, S., Girshick, R.B.: Momentum contrast for unsupervised visual representation learning. In: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2020, Seattle, WA, USA, June 13-19, 2020. pp. 9726–9735. IEEE (2020). https://doi.org/10.1109/CVPR42600.2020.00975, https://doi.org/10.1109/CVPR42600.2020.00975
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He, Y., Yan, R., Fragkiadaki, K., Yu, S.: Epipolar transformers. In: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2020, Seattle, WA, USA, June 13-19, 2020. pp. 7776–7785. IEEE (2020). https://doi.org/10.1109/CVPR42600.2020.00780, https://doi.org/10.1109/CVPR42600.2020.00780
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Kulon, D., Güler, R.A., Kokkinos, I., Bronstein, M.M., Zafeiriou, S.: Weakly-supervised mesh-convolutional hand reconstruction in the wild. In: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2020, Seattle, WA, USA, June 13-19, 2020. pp. 4989–4999. IEEE (2020). https://doi.org/10.1109/CVPR42600.2020.00504, https://doi.org/10.1109/CVPR42600.2020.00504
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Moon, G., Shiratori, T., Lee, K.M.: Deephandmesh: A weakly-supervised deep encoder-decoder framework for high-fidelity hand mesh modeling. In: Vedaldi, A., Bischof, H., Brox, T., Frahm, J. (eds.) Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part II. Lecture Notes in Computer Science, vol. 12347, pp. 440–455. Springer (2020). https://doi.org/10.1007/978-3-030-58536-5_26, https://doi.org/10.1007/978-3-030-58536-5˙26
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Spurr, A., Iqbal, U., Molchanov, P., Hilliges, O., Kautz, J.: Weakly supervised 3d hand pose estimation via biomechanical constraints. In: Vedaldi, A., Bischof, H., Brox, T., Frahm, J. (eds.) Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XVII. Lecture Notes in Computer Science, vol. 12362, pp. 211–228. Springer (2020). https://doi.org/10.1007/978-3-030-58520-4_13, https://doi.org/10.1007/978-3-030-58520-4˙13
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Theodoridis, T., Chatzis, T., Solachidis, V., Dimitropoulos, K., Daras, P.: Cross-modal variational alignment of latent spaces. In: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR Workshops 2020, Seattle, WA, USA, June 14-19, 2020. pp. 4127–4136. IEEE (2020). https://doi.org/10.1109/CVPRW50498.2020.00488, https://doi.org/10.1109/CVPRW50498.2020.00488
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