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Neural rendering has received tremendous attention since the advent of Neural Radiance Fields (NeRF), and has pushed the state-of-the-art on novel-view synthesis considerably.
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Flynn, J., Broxton, M., Debevec, P., DuVall, M., Fyffe, G., Overbeck, R., Snavely, N., Tucker, R.: Deepview: View synthesis with learned gradient descent. In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). pp. 2367–2376 (2019)
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Oechsle, M., Peng, S., Geiger, A.: Unisurf: Unifying neural implicit surfaces and radiance fields for multi-view reconstruction. In: IEEE/CVF International Conference on Computer Vision (ICCV). pp. 5589–5599 (2021)
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Thies, J., Zollhöfer, M., Nießner, M.: Deferred neural rendering: Image synthesis using neural textures. ACM Transactions on Graphics (TOG) 38
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Liu, S., Zhang, Y., Peng, S., Shi, B., Pollefeys, M., Cui, Z.: Dist: Rendering deep implicit signed distance function with differentiable sphere tracing. In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). pp. 2019–2028 (2020)
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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: European Conference on Computer Vision (ECCV). pp. 405–421 (2020)
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Riegler, G., Koltun, V.: Stable view synthesis. In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). pp. 12216–12225 (2021)
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Rombach, R., Esser, P., Ommer, B.: Geometry-free view synthesis: Transformers and no 3d priors. In: IEEE/CVF International Conference on Computer Vision (ICCV). pp. 14356–14366 (2021)
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Sitzmann, V., Rezchikov, S., Freeman, W.T., Tenenbaum, J.B., Durand, F.: Light field networks: Neural scene representations with single-evaluation rendering. Advances in Neural Information Processing Systems (NeurIPS) (2021)
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Takikawa, T., Litalien, J., Yin, K., Kreis, K., Loop, C., Nowrouzezahrai, D., Jacobson, A., McGuire, M., Fidler, S.: Neural geometric level of detail: Real-time rendering with implicit 3d shapes. In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). pp. 11358–11367 (2021)
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Trevithick, A., Yang, B.: Grf: Learning a general radiance field for 3d representation and rendering. In: IEEE/CVF International Conference on Computer Vision (ICCV). pp. 15182–15192 (2021)
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Wang, Q., Wang, Z., Genova, K., Srinivasan, P.P., Zhou, H., Barron, J.T., Martin-Brualla, R., Snavely, N., Funkhouser, T.: Ibrnet: Learning multi-view image-based rendering. In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). pp. 4690–4699 (2021)
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Wizadwongsa, S., Phongthawee, P., Yenphraphai, J., Suwajanakorn, S.: Nex: Real-time view synthesis with neural basis expansion. In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). pp. 8534–8543 (2021)
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Xie, Y., Takikawa, T., Saito, S., Litany, O., Yan, S., Khan, N., Tombari, F., Tompkin, J., Sitzmann, V., Sridhar, S.: Neural fields in visual computing and beyond (2021), https://neuralfields.cs.brown.edu/
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Yariv, L., Gu, J., Kasten, Y., Lipman, Y.: Volume rendering of neural implicit surfaces. Advances in Neural Information Processing Systems 34
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Yenamandra, T., Tewari, A., Bernard, F., Seidel, H.P., Elgharib, M., Cremers, D., Theobalt, C.: i3dmm: Deep implicit 3d morphable model of human heads. In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). pp. 12803–12813 (2021)
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Yu, A., Li, R., Tancik, M., Li, H., Ng, R., Kanazawa, A.: Plenoctrees for real-time rendering of neural radiance fields. In: IEEE/CVF International Conference on Computer Vision (ICCV). pp. 5752–5761 (2021)
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Yu, A., Ye, V., Tancik, M., Kanazawa, A.: pixelnerf: Neural radiance fields from one or few images. In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). pp. 4578–4587 (2021)
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Attal, B., Huang, J.B., Zollhöfer, M., Kopf, J., Kim, C.: Learning neural light fields with ray-space embedding. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 19819–19829 (2022)
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Suhail, M., Esteves, C., Sigal, L., Makadia, A.: Light field neural rendering. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). pp. 8269–8279 (June 2022)
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