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3D Gaussian Splatting (3DGS) has become an emerging tool for dynamic scene reconstruction.
Baker, S., Scharstein, D., Lewis, J., Roth, S., Black, M.J., Szeliski, R.: A database and evaluation methodology for optical flow. IJCV 92
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He, Y., Zhu, C., Wang, J., Savvides, M., Zhang, X.: Bounding box regression with uncertainty for accurate object detection. In: CVPR. pp. 2888–2897 (2019)
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Mildenhall, B., Srinivasan, P.P., Tancik, M., Barron, J.T., Ramamoorthi, R., Ng, R.: NeRF: Representing scenes as neural radiance fields for view synthesis. In: ECCV. pp. 405–421. Springer (2020)
2020
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Attal, B., Laidlaw, E., Gokaslan, A., Kim, C., Richardt, C., Tompkin, J., O’Toole, M.: Törf: Time-of-flight radiance fields for dynamic scene view synthesis. NeurIPS 34
2021
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Du, Y., Zhang, Y., Yu, H.X., Tenenbaum, J.B., Wu, J.: Neural radiance flow for 4d view synthesis and video processing. In: ICCV. pp. 14304–14314. IEEE Computer Society (2021)
2021
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Li, Z., Niklaus, S., Snavely, N., Wang, O.: Neural scene flow fields for space-time view synthesis of dynamic scenes. In: CVPR. pp. 6498–6508 (2021)
2021
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2021
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Park, K., Sinha, U., Barron, J.T., Bouaziz, S., Goldman, D.B., Seitz, S.M., Martin-Brualla, R.: Nerfies: Deformable neural radiance fields. In: ICCV. pp. 5865–5874 (2021)
2021
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Park, K., Sinha, U., Hedman, P., Barron, J.T., Bouaziz, S., Goldman, D.B., Martin-Brualla, R., Seitz, S.M.: HyperNeRF: a higher-dimensional representation for topologically varying neural radiance fields. ACM TOG 40
2021
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Pumarola, A., Corona, E., Pons-Moll, G., Moreno-Noguer, F.: D-NeRF: Neural radiance fields for dynamic scenes. In: CVPR. pp. 10318–10327 (2021)
2021
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Chan, E.R., Lin, C.Z., Chan, M.A., Nagano, K., Pan, B., De Mello, S., Gallo, O., Guibas, L.J., Tremblay, J., Khamis, S., Karras, T., Wetzstein, G.: Efficient geometry-aware 3D generative adversarial networks. In: CVPR. pp. 16123–16133 (2022)
2022
Cited alongside, same era.
Deng, K., Liu, A., Zhu, J.Y., Ramanan, D.: Depth-supervised NeRF: Fewer views and faster training for free. In: CVPR. pp. 12882–12891 (2022)
2022
Cited alongside, same era.
Fang, J., Yi, T., Wang, X., Xie, L., Zhang, X., Liu, W., Nießner, M., Tian, Q.: Fast dynamic radiance fields with time-aware neural voxels. In: SIGGRAPH Asia. pp. 1–9 (2022)
2022
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Li, T., Slavcheva, M., Zollhoefer, M., Green, S., Lassner, C., Kim, C., Schmidt, T., Lovegrove, S., Goesele, M., Newcombe, R., et al.: Neural 3d video synthesis from multi-view video. In: CVPR. pp. 5521–5531 (2022)
2022
Cited alongside, same era.
Fridovich-Keil, S., Meanti, G., Warburg, F.R., Recht, B., Kanazawa, A.: K-Planes: Explicit radiance fields in space, time, and appearance. In: CVPR. pp. 12479–12488 (2023)
2023
Later among the works it cites.
Guo, Z., Zhou, W., Wang, M., Li, L., Li, H.: HandNeRF: Neural radiance fields for animatable interacting hands. In: CVPR (2023)
2023
Later among the works it cites.
Katsumata, K., Vo, D.M., Nakayama, H.: An efficient 3D gaussian representation for monocular/multi-view dynamic scenes (2023)
2023
Later among the works it cites.
Kerbl, B., Kopanas, G., Leimkuehler, T., Drettakis, G.: 3D gaussian splatting for real-time radiance field rendering. ACM TOG 42
2023
Later among the works it cites.
Shao, R., Zheng, Z., Tu, H., Liu, B., Zhang, H., Liu, Y.: Tensor4D: Efficient neural 4D decomposition for high-fidelity dynamic reconstruction and rendering. In: CVPR. pp. 16632–16642 (2023)
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Müller, T., Evans, A., Schied, C., Keller, A.: Instant neural graphics primitives with a multiresolution hash encoding. ACM TOG 41
2022
Cited alongside, same era.
Roessle, B., Barron, J.T., Mildenhall, B., Srinivasan, P.P., Nießner, M.: Dense depth priors for neural radiance fields from sparse input views. In: CVPR. pp. 12892–12901 (2022)
2022
Cited alongside, same era.
Attal, B., Huang, J.B., Richardt, C., Zollhoefer, M., Kopf, J., O’Toole, M., Kim, C.: HyperReel: High-fidelity 6-dof video with ray-conditioned sampling. In: CVPR. pp. 16610–16620 (2023)
2023
Cited alongside, same era.
Cao, A., Johnson, J.: HexPlane: A fast representation for dynamic scenes. In: CVPR. pp. 130–141 (June 2023)
2023
Cited alongside, same era.
Chen, S., Yan, B., Sang, X., Chen, D., Wang, P., Guo, X., Zhong, C., Wan, H.: Bidirectional optical flow NeRF: high accuracy and high quality under fewer views. In: AAAI. vol. 37, pp. 359–368 (2023)
2023
Cited alongside, same era.
2023
Cited alongside, same era.
2023
Later among the works it cites.
Song, L., Chen, A., Li, Z., Chen, Z., Chen, L., Yuan, J., Xu, Y., Geiger, A.: NeRFPlayer: A streamable dynamic scene representation with decomposed neural radiance fields. IEEE TVCG 29
2023
Later among the works it cites.
Xu, H., Zhang, J., Cai, J., Rezatofighi, H., Yu, F., Tao, D., Geiger, A.: Unifying flow, stereo and depth estimation. IEEE TPAMI (2023)
2023
Later among the works it cites.
Luiten, J., Kopanas, G., Leibe, B., Ramanan, D.: Dynamic 3D gaussians: Tracking by persistent dynamic view synthesis. In: 3DV (2024)
2024
Closest in time.
Wu, G., Yi, T., Fang, J., Xie, L., Zhang, X., Wei, W., Liu, W., Tian, Q., Wang, X.: 4D gaussian splatting for real-time dynamic scene rendering. In: CVPR (2024)
2024
Closest in time.
Yang, Z., Gao, X., Zhou, W., Jiao, S., Zhang, Y., Jin, X.: Deformable 3D gaussians for high-fidelity monocular dynamic scene reconstruction. In: CVPR (2024)
2024
Closest in time.