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We propose 6DGS to estimate the camera pose of a target RGB image given a 3D Gaussian Splatting (3DGS) model representing the scene.
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Hosseinzadeh, M., Latif, Y., Pham, T., Suenderhauf, N., Reid, I.: Structure aware slam using quadrics and planes. In: ACCV (2019)
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Gaudillière, V., Simon, G., Berger, M.O.: Perspective-2-ellipsoid: Bridging the gap between object detections and 6-dof camera pose. RAL 5
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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: ECCV (2020)
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Lee, J., Kim, B., Cho, M.: Self-supervised equivariant learning for oriented keypoint detection. In: CVPR (2022)
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Liao, Z., Hu, Y., Zhang, J., Qi, X., Zhang, X., Wang, W.: So-slam: Semantic object slam with scale proportional and symmetrical texture constraints. RAL 7
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Meng, Y., Zhou, B.: Ellipsoid slam with novel object initialization. In: CASE (2022)
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Wang, A., Wang, P., Sun, J., Kortylewski, A., Yuille, A.: Voge: a differentiable volume renderer using gaussian ellipsoids for analysis-by-synthesis. In: ICLR (2022)
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Zins, M., Simon, G., Berger, M.O.: Oa-slam: Leveraging objects for camera relocalization in visual slam. In: ISMAR (2022)
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Tancik, M., Srinivasan, P.P., Mildenhall, B., Fridovich-Keil, S., Raghavan, N., Singhal, U., Ramamoorthi, R., Barron, J.T., Ng, R.: Fourier features let networks learn high frequency functions in low dimensional domains. In: NeurIPS (2020)
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Wang, A., Kortylewski, A., Yuille, A.: Nemo: Neural mesh models of contrastive features for robust 3d pose estimation. In: ICLR (2020)
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Chen, S., Song, S., Zhao, J., Feng, T., Ye, C., Xiong, L., Li, D.: Robust dual quadric initialization for forward-translating camera movements. RAL 6
2021
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Shan, M., Feng, Q., Jau, Y.Y., Atanasov, N.: Ellipsdf: joint object pose and shape optimization with a bi-level ellipsoid and signed distance function description. In: ICCV (2021)
2021
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Yen-Chen, L., Florence, P., Barron, J.T., Rodriguez, A., Isola, P., Lin, T.Y.: iNeRF: Inverting neural radiance fields for pose estimation. In: IROS (2021)
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. In: CVPR (2022)
2022
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Chen, A., Xu, Z., Geiger, A., Yu, J., Su, H.: Tensorf: Tensorial radiance fields. In: ECCV (2022)
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Kerbl, B., Kopanas, G., Leimkühler, T., Drettakis, G.: 3d gaussian splatting for real-time radiance field rendering. TCG 42
2023
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Lin, Y., Müller, T., Tremblay, J., Wen, B., Tyree, S., Evans, A., Vela, P.A., Birchfield, S.: Parallel inversion of neural radiance fields for robust pose estimation. In: ICRA (2023)
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Moreau, A., Piasco, N., Bennehar, M., Tsishkou, D., Stanciulescu, B., de La Fortelle, A.: Crossfire: Camera relocalization on self-supervised features from an implicit representation. In: ICCV (2023)
2023
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Oquab, M., Darcet, T., Moutakanni, T., Vo, H., Szafraniec, M., Khalidov, V., Fernandez, P., Haziza, D., Massa, F., El-Nouby, A., Assran, M., Ballas, N., Galuba, W., Howes, R., Huang, P.Y., Li, S.W., Misra, I., Rabbat, M., Sharma, V., Synnaeve, G., Xu, H., Jegou, H., Mairal, J., Labatut, P., Joulin, A., Bojanowski, P.: Dinov2: Learning robust visual features without supervision (2023)
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Google maps nerf integration. https://blog.google/products/maps/sustainable-immersive-maps-announcements/ , accessed: 2024-03-07
2024
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Bortolon, M., Tsesmelis, T., James, S., Poiesi, F., Del Bue, A.: Iffnerf: Initialization free and fast 6dof pose estimation from a single image and a nerf model. In: ICRA (2024)
2024
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Luiten, J., Kopanas, G., Leibe, B., Ramanan, D.: Dynamic 3d gaussians: Tracking by persistent dynamic view synthesis. In: 3DV (2024)
2024
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Xie, T., Zong, Z., Qiu, Y., Li, X., Feng, Y., Yang, Y., Jiang, C.: Physgaussian: Physics-integrated 3d gaussians for generative dynamics. In: CVPR (2024)
2024
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