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Surgical 3D reconstruction is a critical area of research in robotic surgery, with recent works adopting variants of dynamic radiance fields to achieve success in 3D reconstruction of deformable tissues from single-viewpoint videos.
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Song, J., Wang, J., Zhao, L., Huang, S., Dissanayake, G.: Dynamic reconstruction of deformable soft-tissue with stereo scope in minimal invasive surgery. RA-L (2017)
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Li, Y., Richter, F., Lu, J., Funk, E.K., Orosco, R.K., Zhu, J., Yip, M.C.: Super: A surgical perception framework for endoscopic tissue manipulation with surgical robotics. RA-L (2020)
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Li, Z., Liu, X., Drenkow, N., Ding, A., Creighton, F.X., Taylor, R.H., Unberath, M.: Revisiting stereo depth estimation from a sequence-to-sequence perspective with transformers. In: ICCV (2021)
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Long, Y., Li, Z., Yee, C.H., Ng, C.F., Taylor, R.H., Unberath, M., Dou, Q.: E-dssr: efficient dynamic surgical scene reconstruction with transformer-based stereoscopic depth perception. In: MICCAI (2021)
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Lu, J., Jayakumari, A., Richter, F., Li, Y., Yip, M.C.: Super deep: A surgical perception framework for robotic tissue manipulation using deep learning for feature extraction. In: ICRA (2021)
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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. Communications of the ACM 65
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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 (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 (2021)
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Recasens, D., Lamarca, J., Fácil, J.M., Montiel, J., Civera, J.: Endo-depth-and-motion: Reconstruction and tracking in endoscopic videos using depth networks and photometric constraints. RA-L (2021)
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Zhou, H., Jayender, J.: Emdq-slam: Real-time high-resolution reconstruction of soft tissue surface from stereo laparoscopy videos. In: MICCAI (2021)
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Wang, Y., Long, Y., Fan, S.H., Dou, Q.: Neural rendering for stereo 3d reconstruction of deformable tissues in robotic surgery. In: MICCAI (2022)
2022
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Cao, A., Johnson, J.: Hexplane: A fast representation for dynamic scenes. In: CVPR (2023)
2023
2023
Later among the works it cites.
Yang, Z., Yang, H., Pan, Z., Zhu, X., Zhang, L.: Real-time photorealistic dynamic scene representation and rendering with 4d gaussian splatting. arXiv 2310.10642 (2023)
2023
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2023
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2024
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Cited alongside, same era.
2023
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Fridovich-Keil, S., Meanti, G., Warburg, F.R., Recht, B., Kanazawa, A.: K-planes: Explicit radiance fields in space, time, and appearance. In: CVPR (2023)
2023
Cited alongside, same era.
2023
Cited alongside, same era.
Kerbl, B., Kopanas, G., Leimkühler, T., Drettakis, G.: 3d gaussian splatting for real-time radiance field rendering. ACM Transactions on Graphics 42
2023
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2024
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Wu, T., Yuan, Y.J., Zhang, L.X., Yang, J., Cao, Y.P., Yan, L.Q., Gao, L.: Recent advances in 3d gaussian splatting. Computational Visual Media pp. 1–30 (2024)
2024
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