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Novel view synthesis has shown rapid progress recently, with methods capable of producing increasingly photorealistic results.
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Bansal, A., Vo, M., Sheikh, Y., Ramanan, D., Narasimhan, S.: 4D Visualization of Dynamic Events from Unconstrained Multi-view Videos. In: CVPR (2020)
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Luiten, J., Fischer, T., Leibe, B.: Track to Reconstruct and Reconstruct to Track. IEEE Robotics and Automation Letters 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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Teed, Z., Deng, J.: RAFT: Recurrent All-pairs Field Transforms for Optical Flow. In: ECCV (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: ICCV (2021)
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Li, Z., Niklaus, S., Snavely, N., Wang, O.: Neural Scene Flow Fields for Space-time View Synthesis of Dynamic Scenes. In: CVPR (2021)
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Lin, K.E., Xiao, L., Liu, F., Yang, G., Ramamoorthi, R.: Deep 3D Mask Volume for View Synthesis of Dynamic Scenes. In: ICCV (2021)
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Niemeyer, M., Barron, J.T., Mildenhall, B., Sajjadi, M.S.M., Geiger, A., Radwan, N.: RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from Sparse Inputs. In: CVPR (2021)
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Park, K., Sinha, U., Barron, J.T., Bouaziz, S., Goldman, D.B., Seitz, S.M., Martin-Brualla, R.: Nerfies: Deformable Neural Radiance Fields. ICCV (2021)
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Park, K., Sinha, U., Hedman, P., Barron, J.T., Bouaziz, S., Goldman, D.B., Martin-Brualla, R., Seitz, S.M.: HyperNeRF: A Higher-dimensional Representation for Topologically Varying Neural Radiance Fields. ACM Trans. Graph. 40
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Peng, S., Dong, J., Wang, Q., Zhang, S., Shuai, Q., Zhou, X., Bao, H.: Animatable Neural Radiance Fields for Modeling Dynamic Human Bodies. In: ICCV (2021)
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Reiser, C., Peng, S., Liao, Y., Geiger, A.: KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs. In: ICCV (2021)
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Wang, Q., Wang, Z., Genova, K., Srinivasan, P., Zhou, H., Barron, J.T., Martin-Brualla, R., Snavely, N., Funkhouser, T.: IBRNet: Learning Multi-view Image-Based Rendering. In: CVPR (2021)
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Xian, W., Huang, J.B., Kopf, J., Kim, C.: Space-time Neural Irradiance Fields for Free-viewpoint Video. In: CVPR (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: ICCV (2021)
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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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Fang, J., Yi, T., Wang, X., Xie, L., Zhang, X., Liu, W., Nießner, M., Tian, Q.: Fast Dynamic Radiance Fields with Time-aware Neural Voxels. In: SIGGRAPH Asia (2022)
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Li, L., Shen, Z., Wang, Z., Shen, L., Tan, P.: Streaming Radiance Fields for 3D Video Synthesis. In: NeurIPS (2022)
2022
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Shao, R., Zheng, Z., Tu, H., Liu, B., Zhang, H., Liu, Y.: Tensor4D: Efficient Neural 4D Decomposition for High-fidelity Dynamic Reconstruction and Rendering. In: CVPR (2023)
2023
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Song, L., Chen, A., Li, Z., Chen, Z., Chen, L., Yuan, J., Xu, Y., Geiger, A.: NeRFPlayer: A Streamable Dynamic Scene Representation with Decomposed Neural Radiance Fields. IEEE Transactions on Visualization and Computer Graphics 29
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Turki, H., Zhang, J.Y., Ferroni, F., Ramanan, D.: SUDS: Scalable Urban Dynamic Scenes. In: CVPR (2023)
2023
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Wang, F., Tan, S., Li, X., Tian, Z., Liu, H.: Mixed Neural Voxels for Fast Multi-view Video Synthesis. In: ICCV (2023)
2023
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Zhou, K., Li, W., Wang, Y., Hu, T., Jiang, N., Han, X., Lu, J.: NeRFLiX: High-quality Neural View Synthesis by Learning a Degradation-driven Inter-viewpoint MiXer. In: CVPR (2023)
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Li, R., Tanke, J., Vo, M., Zollhöfer, M., Gall, J., Kanazawa, A., Lassner, C.: TAVA: Template-free Animatable Volumetric Actors. In: ECCV (2022)
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Li, T., Slavcheva, M., Zollhöfer, M., Green, S., Lassner, C., Kim, C., Schmidt, T., Lovegrove, S., Goesele, M., Newcombe, R., Lv, Z.: Neural 3D Video Synthesis from Multi-view Video. In: CVPR (2022)
2022
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Müller, T., Evans, A., Schied, C., Keller, A.: Instant Neural Graphics Primitives with a Multiresolution Hash Encoding. ACM Trans. Graph. 41
2022
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Rong, X., Huang, J.B., Saraf, A., Kim, C., Kopf, J.: Boosting View Synthesis with Residual Transfer. In: CVPR (2022)
2022
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Wang, L., Zhang, J., Liu, X., Zhao, F., Zhang, Y., Zhang, Y., Wu, M., Yu, J., Xu, L.: Fourier PlenOctrees for Dynamic Radiance Field Rendering in Real-time. In: CVPR (2022)
2022
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Weng, C.Y., Curless, B., Srinivasan, P.P., Barron, J.T., Kemelmacher-Shlizerman, I.: HumanNeRF: Free-viewpoint Rendering of Moving People from Monocular Video. In: CVPR (2022)
2022
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Wu, H., Chen, C., Hou, J., Liao, L., Wang, A., Sun, W., Yan, Q., Lin, W.: FAST-VQA: Efficient End-to-end Video Quality Assessment with Fragment Sampling. In: ECCV (2022)
2022
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2023
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2024
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Hu, L., Zhang, H., Zhang, Y., Zhou, B., Liu, B., Zhang, S., Nie, L.: GaussianAvatar: Towards Realistic Human Avatar Modeling from a Single Video via Animatable 3D Gaussians. In: CVPR (2024)
2024
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Huang, Y.H., Sun, Y.T., Yang, Z., Lyu, X., Cao, Y.P., Qi, X.: SC-GS: Sparse-Controlled Gaussian Splatting for Editable Dynamic Scenes. In: CVPR (2024)
2024
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Kocabas, M., Chang, J.H.R., Gabriel, J., Tuzel, O., Ranjan, A.: HUGS: Human Gaussian Splatting. In: CVPR (2024)
2024
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Li, Z., Chen, Z., Li, Z., Xu, Y.: Spacetime Gaussian Feature Splatting for Real-time Dynamic View Synthesis. In: CVPR (2024)
2024
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2024
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Moreau, A., Song, J., Dhamo, H., Shaw, R., Zhou, Y., Pérez-Pellitero, E.: Human Gaussian Splatting: Real-time Rendering of Animatable Avatars. In: CVPR (2024)
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2024
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Qian, S., Kirschstein, T., Schoneveld, L., Davoli, D., Giebenhain, S., Nießner, M.: GaussianAvatars: Photorealistic Head Avatars with Rigged 3D Gaussians. In: CVPR (2024)
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