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Following the advent of NeRFs, 3D Gaussian Splatting (3D-GS) has paved the way to real-time neural rendering overcoming the computational burden of volumetric methods.
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Li, G., Muller, M., Thabet, A., Ghanem, B.: Deepgcns: Can gcns go as deep as cnns? In: Proceedings of the IEEE/CVF international conference on computer vision. pp. 9267–9276 (2019)
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Wang, Y., Sun, Y., Liu, Z., Sarma, S.E., Bronstein, M.M., Solomon, J.M.: Dynamic graph cnn for learning on point clouds. ACM Transactions on Graphics (tog) 38
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Wiles, O., Gkioxari, G., Szeliski, R., Johnson, J.: Synsin: End-to-end view synthesis from a single image. 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) pp. 7465–7475 (2019), https://api.semanticscholar.org/CorpusID:209405397
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Yifan, W., Serena, F., Wu, S., Öztireli, C., Sorkine-Hornung, O.: Differentiable surface splatting for point-based geometry processing. ACM Transactions on Graphics (TOG) 38
2019
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Tancik, M., Casser, V., Yan, X., Pradhan, S., Mildenhall, B., Srinivasan, P.P., Barron, J.T., Kretzschmar, H.: Block-nerf: Scalable large scene neural view synthesis. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 8248–8258 (2022)
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Xiangli, Y., Xu, L., Pan, X., Zhao, N., Rao, A., Theobalt, C., Dai, B., Lin, D.: Bungeenerf: Progressive neural radiance field for extreme multi-scale scene rendering. In: Avidan, S., Brostow, G.J., Cissé, M., Farinella, G.M., Hassner, T. (eds.) Computer Vision - ECCV 2022 - 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part XXXII. Lecture Notes in Computer Science, vol. 13692, pp. 106–122. Springer (2022). https://doi.org/10.1007/978-3-031-19824-3_7, https://doi.org/10.1007/978-3-031-19824-3_7
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Chen, Z., Funkhouser, T., Hedman, P., Tagliasacchi, A.: Mobilenerf: Exploiting the polygon rasterization pipeline for efficient neural field rendering on mobile architectures. In: The Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
2023
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Sarlin, P.E., DeTone, D., Malisiewicz, T., Rabinovich, A.: Superglue: Learning feature matching with graph neural networks. In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. pp. 4938–4947 (2020)
2020
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Barron, J.T., Mildenhall, B., Tancik, M., Hedman, P., Martin-Brualla, R., Srinivasan, P.P.: Mip-nerf: A multiscale representation for anti-aliasing neural radiance fields. 2021 IEEE/CVF International Conference on Computer Vision (ICCV) pp. 5835–5844 (2021), https://api.semanticscholar.org/CorpusID:232352655
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Martin-Brualla, R., Radwan, N., Sajjadi, M.S.M., Barron, J.T., Dosovitskiy, A., Duckworth, D.: NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (2021)
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
2021
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Barron, J.T., Mildenhall, B., Verbin, D., Srinivasan, P.P., Hedman, P.: Mip-nerf 360: Unbounded anti-aliased neural radiance fields. CVPR (2022)
2022
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Deng, N., He, Z., Ye, J., Duinkharjav, B., Chakravarthula, P., Yang, X., Sun, Q.: Fov-nerf: Foveated neural radiance fields for virtual reality. IEEE Transactions on Visualization and Computer Graphics 28
2022
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Fridovich-Keil, S., Yu, A., Tancik, M., Chen, Q., Recht, B., Kanazawa, A.: Plenoxels: Radiance fields without neural networks. In: CVPR (2022)
2022
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Kaya, B., Kumar, S., Oliveira, C., Ferrari, V., Van Gool, L.: Uncertainty-aware deep multi-view photometric stereo. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 12601–12611 (2022)
2022
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2023
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Fan, Z., Wang, K., Wen, K., Zhu, Z., Xu, D., Wang, Z.: Lightgaussian: Unbounded 3d gaussian compression with 15x reduction and 200+ fps (2023)
2023
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He, Y., Tang, D., Zhang, Y., Xue, X., Fu, Y.: Grad-pu: Arbitrary-scale point cloud upsampling via gradient descent with learned distance functions. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
2023
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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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2023
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Niedermayr, S., Stumpfegger, J., Westermann, R.: Compressed 3d gaussian splatting for accelerated novel view synthesis (2023)
2023
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Snavely, N., Seitz, S.M., Szeliski, R.: Photo Tourism: Exploring Photo Collections in 3D. Association for Computing Machinery, New York, NY, USA, 1 edn. (2023), https://doi.org/10.1145/3596711.3596766
2023
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2023
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2023
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Lu, T., Yu, M., Xu, L., Xiangli, Y., Wang, L., Lin, D., Dai, B.: Scaffold-gs: Structured 3d gaussians for view-adaptive rendering. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (2024)
2024
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