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Novel view synthesis is a long-standing problem.
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Cavallari, T., Golodetz, S., Lord, N.A., Valentin, J., Prisacariu, V.A., Di Stefano, L., Torr, P.H.S.: Real-time RGB-D camera pose estimation in novel scenes using a relocalisation cascade. IEEE transactions on pattern analysis and machine intelligence 42
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Choi, I., Gallo, O., Troccoli, A., Kim, M.H., Kautz, J.: Extreme view synthesis. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 7781–7790 (2019)
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Devlin, J., Chang, M.W., Lee, K., Toutanova, K.: BERT: Pre-training of deep bidirectional transformers for language understanding. In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers). pp. 4171–4186. Association for Computational Linguistics, Minneapolis, Minnesota (Jun 2019)
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Ding, M., Wang, Z., Sun, J., Shi, J., Luo, P.: CamNet: Coarse-to-fine retrieval for camera re-localization. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 2871–2880 (2019)
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Chen, W.C., Hu, M.C., Chen, C.S.: STR-GQN: Scene representation and rendering for unknown cameras based on spatial transformation routing. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 5966–5975 (2021)
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Jain, A., Tancik, M., Abbeel, P.: Putting nerf on a diet: Semantically consistent few-shot view synthesis. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 5885–5894 (2021)
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