[1] J. T. Barron, B. Mildenhall, M. Tancik, P. Hedman, R. Martin-Brualla, and P. P. Srinivasan, "Mip-nerf: A multiscale representation for anti-aliasing neural radiance fields," in Proceedings of the IEEE/CVF International Conference on Computer Vision, 2021, pp. 5855-5864.
[2] C. Buehler, M. Bosse, L. McMillan, S. Gortler, and M. Cohen, "Unstructured lumigraph rendering," in Proceedings of the 28th annual conference on Computer graphics and interactive techniques, 2001, pp. 425-432.
[3] S. Cai, A. Obukhov, D. Dai, and L. Van Gool, "Pix2nerf: Unsupervised conditional p-gan for single image to neural radiance fields translation," in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022, pp. 3981-3990.
[4] J. Carranza, C. Theobalt, M. A. Magnor, and H.-P. Seidel, "Free-viewpoint video of human actors," ACM transactions on graphics (TOG), vol. 22, no. 3, pp. 569-577, 2003.
[5] J.-X. Chai, X. Tong, S.-C. Chan, and H.-Y. Shum, "Plenoptic sampling," in Proceedings of the 27th annual conference on Computer graphics and interactive techniques, 2000, pp. 307-318.
[6] E. R. Chan, M. Monteiro, P. Kellnhofer, J. Wu, and G. Wetzstein, "pi-gan: Periodic implicit generative adversarial networks for 3d-aware image synthesis," in Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, 2021, pp. 5799-5809.
[7] G. Chaurasia, S. Duchene, O. Sorkine-Hornung, and G. Drettakis, "Depth synthesis and local warps for plausible image-based navigation," ACM Transactions on Graphics (TOG), vol. 32, no. 3, pp. 1-12, 2013.
[8] A. Chen, Z. Xu, F. Zhao, X. Zhang, F. Xiang, J. Yu, and H. Su, "Mvsnerf: Fast generalizable radiance field reconstruction from multi-view stereo," in Proceedings of the IEEE/CVF International Conference on Computer Vision, 2021, pp. 14 124-14 133.
[9] I. Choi, O. Gallo, A. Troccoli, M. H. Kim, and J. Kautz, "Extreme view synthesis," in Proceedings of the IEEE/CVF International Conference on Computer Vision, 2019, pp. 7781-7790.
[10] E. De Aguiar, C. Stoll, C. Theobalt, N. Ahmed, H.-P. Seidel, and S. Thrun, "Performance capture from sparse multi-view video," in ACM SIGGRAPH 2008 papers, 2008, pp. 1-10.
[11] L. Ding and A. Goshtasby, “On the canny edge detector,” Pattern recognition, vol. 34, no. 3, pp. 721–725, 2001.
[12] Y. Du, Y. Zhang, H.-X. Yu, J. B. Tenenbaum, and J. Wu, "Neural radiance flow for 4d view synthesis and video processing," in 2021 IEEE/CVF International Conference on Computer Vision (ICCV). IEEE Computer Society, 2021, pp. 14304-14314.
[13] J. Fang, T. Yi, X. Wang, L. Xie, X. Zhang, W. Liu, M. Nießner, and Q. Tian, "Fast dynamic radiance fields with time-aware neural voxels," in SIGGRAPH Asia 2022 Conference Papers, 2022, pp. 1-9.
[14] J. Flynn, M. Broxton, P. Debevec, M. DuVall, G. Fyffe, R. Overbeck, N. Snavely, and R. Tucker, "Deepview: View synthesis with learned gradient descent," in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2019, pp. 2367-2376.
[15] J. Flynn, I. Neulander, J. Philbin, and N. Snavely, "Deepstereo: Learning to predict new views from the world's imagery," in Proceedings of the IEEE conference on computer vision and pattern recognition, 2016, pp. 5515-5524.
[16] C. Gao, A. Saraf, J. Kopf, and J.-B. Huang, "Dynamic view synthesis from dynamic monocular video," in Proceedings of the IEEE/CVF International Conference on Computer Vision, 2021, pp. 5712-5721.
[17] H. Gao, R. Li, S. Tulsiani, B. Russell, and A. Kanazawa, "Monocular dynamic view synthesis: A reality check," in Advances in Neural Information Processing Systems, 2022.
[18] C. Godard, O. Mac Aodha, and G. J. Brostow, "Unsupervised monocular depth estimation with left-right consistency," in Proceedings of the IEEE conference on computer vision and pattern recognition, 2017, pp. 270-279.
[19] S. J. Gortler, R. Grzeszczuk, R. Szeliski, and M. F. Cohen, "The lumigraph," in Proceedings of the 23rd annual conference on Computer graphics and interactive techniques, 1996, pp. 43-54.
[20] J. Gu, L. Liu, P. Wang, and C. Theobalt, "Stylenerf: A style-based 3d-aware generator for high-resolution image synthesis," arXiv preprint arXiv:2110.08985, 2021.
[21] K. Guo, P. Lincoln, P. Davidson, J. Busch, X. Yu, M. Whalen, G. Harvey, S. Orts-Escalano, R. Pandey, J. Dourgarian, et al., “The relighttables: Volumetric performance capture of humans with realistic relighting,” ACM Transactions on Graphics (ToG), vol. 38, no. 6, pp. 1–19, 2019.
[22] R. Hartley and A. Zisserman, Multiple view geometry in computer vision. Cambridge university press, 2003.