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This paper addresses the long-standing challenge of reconstructing 3D structures from videos with dynamic content.
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Iglesias, J.P., Olsson, C., Valtonen Örnhag, M.: Accurate optimization of weighted nuclear norm for non-rigid structure from motion. In: Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XXVII 16. pp. 21–37. Springer (2020)
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Luo, X., Huang, J.B., Szeliski, R., Matzen, K., Kopf, J.: Consistent video depth estimation. ACM Transactions on Graphics (ToG) 39
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Sidhu, V., Tretschk, E., Golyanik, V., Agudo, A., Theobalt, C.: Neural dense non-rigid structure from motion with latent space constraints. In: Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XVI 16. pp. 204–222. Springer (2020)
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Zhang, Z., Cole, F., Li, Z., Rubinstein, M., Snavely, N., Freeman, W.T.: Structure and motion from casual videos. In: European Conference on Computer Vision. pp. 20–37. Springer (2022)
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Zhao, W., Liu, S., Guo, H., Wang, W., Liu, Y.J.: Particlesfm: Exploiting dense point trajectories for localizing moving cameras in the wild. In: European Conference on Computer Vision. pp. 523–542. Springer (2022)
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Agarwal, S., Mierle, K., Team, T.C.S.: Ceres Solver (10 2023), https://github.com/ceres-solver/ceres-solver
2023
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2023
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2023
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2023
Later among the works it cites.
2023
Later among the works it cites.
Liu, Y.L., Gao, C., Meuleman, A., Tseng, H.Y., Saraf, A., Kim, C., Chuang, Y.Y., Kopf, J., Huang, J.B.: Robust dynamic radiance fields. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 13–23 (2023)
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Sinha, S., Shapovalov, R., Reizenstein, J., Rocco, I., Neverova, N., Vedaldi, A., Novotny, D.: Common pets in 3d: Dynamic new-view synthesis of real-life deformable categories. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 4881–4891 (2023)
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Wang, Q., Chang, Y.Y., Cai, R., Li, Z., Hariharan, B., Holynski, A., Snavely, N.: Tracking everything everywhere all at once. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 19795–19806 (2023)
2023
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2024
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Zou, X., Yang, J., Zhang, H., Li, F., Li, L., Wang, J., Wang, L., Gao, J., Lee, Y.J.: Segment everything everywhere all at once. Advances in Neural Information Processing Systems 36
2024
Closest in time.