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Most of the recent deep learning-based 3D human pose and mesh estimation methods regress the pose and shape parameters of human mesh models, such as SMPL and MANO, from an input image.
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Loper, M., Mahmood, N., Romero, J., Pons-Moll, G., Black, M.J.: SMPL: A skinned multi-person linear model. In: Special Interest Group on GRAPHics and Interactive Techniques (SIGGRAPH) (2015)
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Bogo, F., Kanazawa, A., Lassner, C., Gehler, P., Romero, J., Black, M.J.: Keep it smpl: Automatic estimation of 3d human pose and shape from a single image. In: The European Conference on Computer Vision (ECCV) (2016)
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Lassner, C., Romero, J., Kiefel, M., Bogo, F., Black, M.J., Gehler, P.V.: Unite the people: Closing the loop between 3d and 2d human representations. In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2017)
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Lassner, C., Romero, J., Kiefel, M., Bogo, F., Black, M.J., Gehler, P.V.: Unite the people: Closing the loop between 3d and 2d human representations. In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2017)
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Martinez, J., Hossain, R., Romero, J., Little, J.J.: A simple yet effective baseline for 3d human pose estimation. In: The IEEE International Conference on Computer Vision (ICCV) (2017)
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Mehta, D., Rhodin, H., Casas, D., Fua, P., Sotnychenko, O., Xu, W., Theobalt, C.: Monocular 3d human pose estimation in the wild using improved cnn supervision. In: International Conference on 3D Vision (3DV) (2017)
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Pavlakos, G., Zhou, X., Derpanis, K.G., Daniilidis, K.: Coarse-to-fine volumetric prediction for single-image 3d human pose. In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2017)
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Baek, S., In Kim, K., Kim, T.K.: Pushing the envelope for rgb-based dense 3d hand pose estimation via neural rendering. In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2019)
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Cai, Y., Ge, L., Liu, J., Cai, J., Cham, T.J., Yuan, J., Thalmann, N.M.: Exploiting spatial-temporal relationships for 3d pose estimation via graph convolutional networks. In: The IEEE International Conference on Computer Vision (ICCV) (2019)
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Romero, J., Tzionas, D., Black, M.J.: Embodied hands: Modeling and capturing hands and bodies together. In: Special Interest Group on GRAPHics and Interactive Techniques (SIGGRAPH) (2017)
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Ruggero Ronchi, M., Perona, P.: Benchmarking and error diagnosis in multi-instance pose estimation. In: The IEEE International Conference on Computer Vision (ICCV) (2017)
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Sun, X., Shang, J., Liang, S., Wei, Y.: Compositional human pose regression. In: The IEEE International Conference on Computer Vision (ICCV) (2017)
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Varol, G., Romero, J., Martin, X., Mahmood, N., Black, M.J., Laptev, I., Schmid, C.: Learning from synthetic humans. In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2017)
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Andriluka, M., Iqbal, U., Insafutdinov, E., Pishchulin, L., Milan, A., Gall, J., Schiele, B.: Posetrack: A benchmark for human pose estimation and tracking. In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2018)
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Chen, Y., Wang, Z., Peng, Y., Zhang, Z., Yu, G., Sun, J.: Cascaded pyramid network for multi-person pose estimation. In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2018)
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Kanazawa, A., Black, M.J., Jacobs, D.W., Malik, J.: End-to-end recovery of human shape and pose. In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2018)
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Kato, H., Ushiku, Y., Harada, T.: Neural 3d mesh renderer. In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2018)
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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: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2019)
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Iskakov, K., Burkov, E., Lempitsky, V., Malkov, Y.: Learnable triangulation of human pose. In: The IEEE International Conference on Computer Vision (ICCV) (2019)
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Kanazawa, A., Zhang, J.Y., Felsen, P., Malik, J.: Learning 3d human dynamics from video. In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2019)
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Kolotouros, N., Pavlakos, G., Black, M.J., Daniilidis, K.: Learning to reconstruct 3d human pose and shape via model-fitting in the loop. In: The IEEE International Conference on Computer Vision (ICCV) (2019)
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Kolotouros, N., Pavlakos, G., Daniilidis, K.: Convolutional mesh regression for single-image human shape reconstruction. In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2019)
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Mahmood, N., Ghorbani, N., Troje, N.F., Pons-Moll, G., Black, M.J.: Amass: Archive of motion capture as surface shapes. In: The IEEE International Conference on Computer Vision (ICCV) (2019)
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Moon, G., Chang, J.Y., Lee, K.M.: Camera distance-aware top-down approach for 3d multi-person pose estimation from a single rgb image. In: The IEEE International Conference on Computer Vision (ICCV) (2019)
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Moon, G., Chang, J.Y., Lee, K.M.: Posefix: Model-agnostic general human pose refinement network. In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2019)
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Pavlakos, G., Choutas, V., Ghorbani, N., Bolkart, T., Osman, A.A., Tzionas, D., Black, M.J.: Expressive body capture: 3d hands, face, and body from a single image. In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2019)
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Sharma, S., Varigonda, P.T., Bindal, P., Sharma, A., Jain, A.: Monocular 3d human pose estimation by generation and ordinal ranking. In: The IEEE International Conference on Computer Vision (ICCV) (2019)
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Sun, K., Xiao, B., Liu, D., Wang, J.: Deep high-resolution representation learning for human pose estimation. In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2019)
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Wandt, B., Rosenhahn, B.: Repnet: Weakly supervised training of an adversarial reprojection network for 3d human pose estimation. In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2019)
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Zhao, L., Peng, X., Tian, Y., Kapadia, M., Metaxas, D.N.: Semantic graph convolutional networks for 3d human pose regression. In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2019)
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2020
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2020
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Moon, G., Lee, K.M.: I2L-MeshNet: Image-to-lixel prediction network for accurate 3D human pose and mesh estimation from a single RGB image. In: The European Conference on Computer Vision (ECCV) (2020)
2020
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2020
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Zhang, F., Zhu, X., Dai, H., Ye, M., Zhu, C.: Distribution-aware coordinate representation for human pose estimation. In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2020)
2020
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