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Recently, 3D Gaussian Splatting (3DGS) has emerged as an efficient approach for accurately representing scenes.
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Zeng, A., Song, S., Nießner, M., Fisher, M., Xiao, J., Funkhouser, T.: 3dmatch: Learning local geometric descriptors from rgb-d reconstructions. In: CVPR (2017)
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Chang, J.R., Chen, Y.S.: Pyramid stereo matching network. In: Proceedings of the IEEE conference on computer vision and pattern recognition. pp. 5410–5418 (2018)
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Yao, Y., Luo, Z., Li, S., Fang, T., Quan, L.: Mvsnet: Depth inference for unstructured multi-view stereo. In: Proceedings of the European conference on computer vision (ECCV). pp. 767–783 (2018)
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Zhang, F., Prisacariu, V., Yang, R., Torr, P.H.: Ga-net: Guided aggregation net for end-to-end stereo matching. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 185–194 (2019)
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Gu, X., Fan, Z., Zhu, S., Dai, Z., Tan, F., Tan, P.: Cascade cost volume for high-resolution multi-view stereo and stereo matching. In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. pp. 2495–2504 (2020)
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Yariv, L., Kasten, Y., Moran, D., Galun, M., Atzmon, M., Ronen, B., Lipman, Y.: Multiview neural surface reconstruction by disentangling geometry and appearance. Advances in Neural Information Processing Systems 33
2020
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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. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 5855–5864 (2021)
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2021
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2023
Later among the works it cites.
2023
Later among the works it cites.
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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Kirillov, A., Mintun, E., Ravi, N., Mao, H., Rolland, C., Gustafson, L., Xiao, T., Whitehead, S., Berg, A.C., Lo, W.Y., et al.: Segment anything. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 4015–4026 (2023)
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Lipson, L., Teed, Z., Deng, J.: Raft-stereo: Multilevel recurrent field transforms for stereo matching. In: 2021 International Conference on 3D Vision (3DV). pp. 218–227. IEEE (2021)
2021
Cited alongside, same era.
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
Cited alongside, same era.
Poggi, M., Tosi, F., Batsos, K., Mordohai, P., Mattoccia, S.: On the synergies between machine learning and binocular stereo for depth estimation from images: a survey. IEEE Transactions on Pattern Analysis and Machine Intelligence 44
2021
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Shen, Z., Dai, Y., Rao, Z.: Cfnet: Cascade and fused cost volume for robust stereo matching. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 13906–13915 (2021)
2021
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Wang, F., Galliani, S., Vogel, C., Speciale, P., Pollefeys, M.: Patchmatchnet: Learned multi-view patchmatch stereo. In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. pp. 14194–14203 (2021)
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Wang, P., Liu, L., Liu, Y., Theobalt, C., Komura, T., Wang, W.: Neus: Learning neural implicit surfaces by volume rendering for multi-view reconstruction (2021)
2021
Cited alongside, same era.
Yariv, L., Gu, J., Kasten, Y., Lipman, Y.: Volume rendering of neural implicit surfaces. Advances in Neural Information Processing Systems 34
2021
Cited alongside, same era.
2022
Cited alongside, same era.
Li, K., Bian, J.W., Castle, R., Torr, P.H., Prisacariu, V.A.: Mobilebrick: Building LEGO for 3D reconstruction on mobile devices. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 4892–4901 (2023)
2023
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2023
Later among the works it cites.
Tosi, F., Tonioni, A., De Gregorio, D., Poggi, M.: Nerf-supervised deep stereo. In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. pp. 855–866 (2023)
2023
Later among the works it cites.
Xu, G., Wang, X., Ding, X., Yang, X.: Iterative geometry encoding volume for stereo matching. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 21919–21928 (2023)
2023
Later among the works it cites.
Yariv, L., Hedman, P., Reiser, C., Verbin, D., Srinivasan, P.P., Szeliski, R., Barron, J.T., Mildenhall, B.: BakedSDF: Meshing neural SDFs for real-time view synthesis. In: ACM SIGGRAPH 2023 Conference Proceedings. pp. 1–9 (2023)
2023
Later among the works it cites.
Zhao, H., Zhou, H., Zhang, Y., Chen, J., Yang, Y., Zhao, Y.: High-frequency stereo matching network. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 1327–1336 (2023)
2023
Later among the works it cites.
Chen, G., Wang, W.: A survey on 3D Gaussian splatting. arXiv preprint arXiv:2401.03890 (2024)
2024
Closest in time.
Cheng, K., Long, X., Yang, K., Yao, Y., Yin, W., Ma, Y., Wang, W., Chen, X.: GaussianPro: 3D Gaussian splatting with progressive propagation. In: Forty-first International Conference on Machine Learning (2024)
2024
Closest in time.
Guédon, A., Lepetit, V.: SuGaR: Surface-aligned Gaussian splatting for efficient 3D mesh reconstruction and high-quality mesh rendering. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 5354–5363 (2024)
2024
Closest in time.
Huang, B., Yu, Z., Chen, A., Geiger, A., Gao, S.: 2D Gaussian splatting for geometrically accurate radiance fields. In: SIGGRAPH 2024 Conference Papers. Association for Computing Machinery (2024)
2024
Closest in time.
2024
Closest in time.
Wu, T., Yuan, Y.J., Zhang, L.X., Yang, J., Cao, Y.P., Yan, L.Q., Gao, L.: Recent advances in 3D Gaussian splatting. Computational Visual Media pp. 1–30 (2024)
2024
Closest in time.
Yu, Z., Chen, A., Huang, B., Sattler, T., Geiger, A.: Mip-splatting: Alias-free 3D Gaussian splatting. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 19447–19456 (2024)
2024
Closest in time.