[48] Johannes Lutz Schonberger and Jan-Michael Frahm. Structure-from-motion revisited. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016. 1, 3.2, 3.2
[49] Prafull Sharma, Ayush Tewari, Yilun Du, Sergey Zakharov, Rares Andrei Ambrus, Adrien Gaidon, William T. Freeman, Fredo Durand, Joshua B. Tenenbaum, and Vincent Sitzmann. Neural groundplans: Persistent neural scene representations from a single image. In Proceedings of the International Conference on Learning Representations (ICLR), 2023. 2
[50] Yawar Siddiqui, Lorenzo Porzi, Samuel Rota Bulò, Norman Müller, Matthias Nießner, Angela Dai, and Peter Kontschieder. Panoptic lifting for 3d scene understanding with neural fields. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023. 2
[51] Leonid Signal, Alexandru O. Balan, and Michael J. Black. HumanEva: Synchronized video and motion capture dataset and baseline algorithm for evaluation of articulated human motion. International Journal of Computer Vision (IJCV), 2010. 2
[52] Vincent Sitzmann, Michael Zollhöfer, and Gordon Wetzstein. Scene representation networks: Continuous 3D-structure-aware neural scene representations. Proceedings of Advances in Neural Information Processing Systems (NeurIPS), 2019. 1
[53] Liangchen Song, Anpei Chen, Zhong Li, Zhang Chen, Lele Chen, Junsong Yuan, Yi Xu, and Andreas Geiger. Nerfplayer: A streamable dynamic scene representation with decomposed neural radiance fields. IEEE Transactions on Visualization and Computer Graphics, 2023. 1, 2
[54] Shuhan Tan, Tushar Nagarajan, and Kristen Grauman. Egodistill: Egocentric head motion distillation for efficient video understanding. arXiv preprint arXiv:2301.02217, 2023. 2
[55] Chengzhou Tang, Oliver Wang, and Ping Tan. Gslam: Initialization-robust monocular visual slam via global structure-from-motion. In Proceedings of the International Conference on 3D Vision (3DV), 2017. 3.2
[56] Hugo Touvron, Matthieu Cord, Matthijs Douze, Francisco Massa, Alexandre Sablayrolles, and Hervé Jégou. Training data-efficient image transformers & distillation through attention. In Proceedings of the International Conference on Machine Learning (ICML), 2021. 2
[57] Edgar Tretschk, Ayush Tewari, Vladislav Golyanik, Michael Zollhöfer, Christoph Lassner, and Christian Theobalt. Non-rigid neural radiance fields: Reconstruction and novel view synthesis of a dynamic scene from monocular video. In Proceedings of the International Conference on Computer Vision (ICCV), 2021. 2
[58] Vadim Tschernezki, Iro Laina, Diane Larlus, and Andrea Vedaldi. Neural Feature Fusion Fields: 3D distillation of self-supervised 2D image representation. In Proceedings of the International Conference on 3D Vision (3DV), 2022. 1, 2, 5, 6
[59] Vadim Tschernezki, Diane Larlus, and Andrea Vedaldi. NeuralDiff: Segmenting 3D objects that move in egocentric videos. In Proceedings of the International Conference on 3D Vision (3DV), 2021. 2, 2, 4.1, 4.2, 4.2
[60] Shuhei Tsuchida, Satoru Fukayama, Masahiro Hamasaki, and Masataka Goto. AIST dance video database: Multi-genre, multi-dancer, and multi-camera database for dance information processing. In Proc. ISMIR, 2019. 2
[61] Suhani Vora, Noha Radwan, Klaus Greff, Henning Meyer, Kyle Genova, Mehdi S. M. Sajjadi, Etienne Pot, Andrea Tagliasacchi, and Daniel Duckworth. NeSF: Neural semantic fields for generalizable semantic segmentation of 3D scenes. arXiv.cs, abs/2111.13260, 2021. 1, 2
[62] Bing Wang, Lu Chen, and Bo Yang. Dm-nerf: 3d scene geometry decomposition and manipulation from 2d images. arXiv preprint arXiv:2208.07227, 2022. 2
[63] Chaoyang Wang, Ben Eckart, Simon Lucey, and Orazio Gallo. Neural trajectory fields for dynamic novel view synthesis. arXiv.cs, abs/2105.05994, 2021. 2
[64] Liao Wang, Jiakai Zhang, Xinhang Liu, Fuqiang Zhao, Yanshun Zhang, Yingliang Zhang, Minye Wu, Jingyi Yu, and Lan Xu. Fourier PlenOctrees for dynamic radiance field rendering in real-time. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022. 2
[65] Tianhao Wu, Fangcheng Zhong, Andrea Tagliasacchi, Forrester Cole, and Cengiz Oztireli.  $\mathbf{D}^2$  nerf: Self-supervised decoupling of dynamic and static objects from a monocular video. arXiv preprint arXiv:2205.15838, 2022. 2
[66] Wenqi Xian, Jia-Bin Huang, Johannes Kopf, and Changil Kim. Space-time neural irradiance fields for free-viewpoint video. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021. 2