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Dynamic Neural Radiance Field (NeRF) from monocular videos has recently been explored for space-time novel view synthesis and achieved excellent results.
Kajiya, J.T., Von Herzen, B.P.: Ray tracing volume densities. ACM SIGGRAPH computer graphics 18
1984
Earlier work this paper cites.
Levin, A., Fergus, R., Durand, F., Freeman, W.T.: Image and depth from a conventional camera with a coded aperture. ACM transactions on graphics (TOG) 26
2007
Earlier work this paper cites.
Lee, S., Eisemann, E., Seidel, H.P.: Real-time lens blur effects and focus control. ACM Transactions on Graphics (TOG) 29
2010
Earlier work this paper cites.
2014
Earlier work this paper cites.
Shi, J., Xu, L., Jia, J.: Just noticeable defocus blur detection and estimation. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 657–665 (2015)
2015
Earlier work this paper cites.
Chen, Q., Koltun, V.: Full flow: Optical flow estimation by global optimization over regular grids. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 4706–4714 (2016)
2016
Earlier work this paper cites.
Jimenez Rezende, D., Eslami, S., Mohamed, S., Battaglia, P., Jaderberg, M., Heess, N.: Unsupervised learning of 3d structure from images. Advances in neural information processing systems 29
2016
Earlier work this paper cites.
Schonberger, J.L., Frahm, J.M.: Structure-from-motion revisited. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). pp. 4104–4113 (2016)
2016
Earlier work this paper cites.
Fan, H., Su, H., Guibas, L.J.: A point set generation network for 3d object reconstruction from a single image. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). pp. 605–613 (2017)
2017
Earlier work this paper cites.
He, K., Gkioxari, G., Dollár, P., Girshick, R.: Mask r-cnn. In: Proceedings of the IEEE international conference on computer vision. pp. 2961–2969 (2017)
2017
Earlier work this paper cites.
Park, J., Tai, Y.W., Cho, D., So Kweon, I.: A unified approach of multi-scale deep and hand-crafted features for defocus estimation. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 1736–1745 (2017)
2017
Earlier work this paper cites.
Abadie, G., McAuley, S., Golubev, E., Hill, S., Lagarde, S.: Advances in real-time rendering in games. In: ACM SIGGRAPH 2018 Courses, pp. 1–1 (2018)
2018
Earlier work this paper cites.
Wadhwa, N., Garg, R., Jacobs, D.E., Feldman, B.E., Kanazawa, N., Carroll, R., Movshovitz-Attias, Y., Barron, J.T., Pritch, Y., Levoy, M.: Synthetic depth-of-field with a single-camera mobile phone. ACM Transactions on Graphics (TOG) 37
2018
Earlier work this paper cites.
Wang, L., Shen, X., Zhang, J., Wang, O., Lin, Z., Hsieh, C.Y., Kong, S., Lu, H.: Deeplens: Shallow depth of field from a single image. ACM Transactions on Graphics (TOG) 37
2018
Earlier work this paper cites.
Xiao, L., Kaplanyan, A., Fix, A., Chapman, M., Lanman, D.: Deepfocus: Learned image synthesis for computational displays. ACM Transactions on Graphics (TOG) 37
2018
Earlier work this paper cites.
Zhang, R., Isola, P., Efros, A.A., Shechtman, E., Wang, O.: The unreasonable effectiveness of deep features as a perceptual metric. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 586–595 (2018)
2018
Earlier work this paper cites.
Busam, B., Hog, M., McDonagh, S., Slabaugh, G.: Sterefo: Efficient image refocusing with stereo vision. In: Proc. IEEE International Conference on Computer Vision Workshops (ICCVW). pp. 0–0 (2019)
2019
Earlier work this paper cites.
Ignatov, A., Patel, J., Timofte, R., Zheng, B., Ye, X., Huang, L., Tian, X., Dutta, S., Purohit, K., Kandula, P., et al.: Aim 2019 challenge on bokeh effect synthesis: Methods and results. In: Proc. IEEE International Conference on Computer Vision Workshops (ICCVW). pp. 3591–3598. IEEE (2019)
2019
Earlier work this paper cites.
Lombardi, S., Simon, T., Saragih, J., Schwartz, G., Lehrmann, A., Sheikh, Y.: Neural volumes: Learning dynamic renderable volumes from images. ACM Transactions on Graphics 38
2019
Earlier work this paper cites.
Mildenhall, B., Srinivasan, P.P., Ortiz-Cayon, R., Kalantari, N.K., Ramamoorthi, R., Ng, R., Kar, A.: Local light field fusion: Practical view synthesis with prescriptive sampling guidelines. ACM Transactions on Graphics (TOG) 38
2019
Earlier work this paper cites.
Sitzmann, V., Thies, J., Heide, F., Nießner, M., Wetzstein, G., Zollhofer, M.: Deepvoxels: Learning persistent 3d feature embeddings. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). pp. 2437–2446 (2019)
2019
Earlier work this paper cites.
Sitzmann, V., Zollhoefer, M., Wetzstein, G.: Scene representation networks: Continuous 3d-structure-aware neural scene representations. In: Wallach, H., Larochelle, H., Beygelzimer, A., d'Alché-Buc, F., Fox, E., Garnett, R. (eds.) Advances in Neural Information Processing Systems. vol. 32. Curran Associates, Inc. (2019), https://proceedings.neurips.cc/paper/2019/file/b5dc4e5d9b495d0196f61d45b26ef33e-Paper.pdf
2019
Cited alongside, same era.
Zhang, X., Matzen, K., Nguyen, V., Yao, D., Zhang, Y., Ng, R.: Synthetic defocus and look-ahead autofocus for casual videography. ACM Transactions on Graphics (TOG) 38
2019
Cited alongside, same era.
Abuolaim, A., Brown, M.S.: Defocus deblurring using dual-pixel data. In: Proceedings of the European conference on computer vision (ECCV). pp. 111–126. Springer (2020)
2020
Cited alongside, same era.
Ignatov, A., Patel, J., Timofte, R.: Rendering natural camera bokeh effect with deep learning. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops. pp. 418–419 (2020)
2021
Later among the works it cites.
Xian, W., Huang, J.B., Kopf, J., Kim, C.: Space-time neural irradiance fields for free-viewpoint video. In: CVPR. pp. 9421–9431 (2021)
2021
Later among the works it cites.
Kaneko, T.: Ar-nerf: Unsupervised learning of depth and defocus effects from natural images with aperture rendering neural radiance fields. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 18387–18397 (2022)
2022
Later among the works it cites.
Ma, L., Li, X., Liao, J., Zhang, Q., Wang, X., Wang, J., Sander, P.V.: Deblur-nerf: Neural radiance fields from blurry images. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 12861–12870 (2022)
2022
Later among the works it cites.
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2020
Cited alongside, same era.
Ignatov, A., Timofte, R., Qian, M., Qiao, C., Lin, J., Guo, Z., Li, C., Leng, C., Cheng, J., Peng, J., et al.: Aim 2020 challenge on rendering realistic bokeh. In: Proc. European Conference on Computer Vision Workshops (ECCVW). pp. 213–228. Springer (2020)
2020
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. In: Proceedings of the European Conference on Computer Vision (ECCV). pp. 405–421. Springer (2020)
2020
Cited alongside, same era.
Teed, Z., Deng, J.: Raft: Recurrent all-pairs field transforms for optical flow. In: Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part II 16. pp. 402–419. Springer (2020)
2020
Cited alongside, same era.
Tucker, R., Snavely, N.: Single-view view synthesis with multiplane images. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 551–560 (2020)
2020
Cited alongside, same era.
Abuolaim, A., Delbracio, M., Kelly, D., Brown, M.S., Milanfar, P.: Learning to reduce defocus blur by realistically modeling dual-pixel data. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 2289–2298 (2021)
2021
Cited alongside, same era.
Dong, J., Roth, S., Schiele, B.: Dwdn: deep wiener deconvolution network for non-blind image deblurring. IEEE Transactions on Pattern Analysis and Machine Intelligence 44
2021
Cited alongside, same era.
Gao, C., Saraf, A., Kopf, J., Huang, J.B.: Dynamic view synthesis from dynamic monocular video. In: ICCV. pp. 5712–5721 (2021)
2021
Cited alongside, same era.
Lee, J., Son, H., Rim, J., Cho, S., Lee, S.: Iterative filter adaptive network for single image defocus deblurring. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 2034–2042 (2021)
2021
Cited alongside, same era.
Mildenhall, B., Hedman, P., Martin-Brualla, R., Srinivasan, P.P., Barron, J.T.: Nerf in the dark: High dynamic range view synthesis from noisy raw images. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). pp. 16190–16199 (June 2022)
2022
Later among the works it cites.
Peng, J., Cao, Z., Luo, X., Lu, H., Xian, K., Zhang, J.: Bokehme: When neural rendering meets classical rendering. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 16283–16292 (2022)
2022
Later among the works it cites.
Peng, J., Zhang, J., Luo, X., Lu, H., Xian, K., Cao, Z.: Mpib: An mpi-based bokeh rendering framework for realistic partial occlusion effects. In: Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel, October 23–27, 2022, Proceedings, Part VI. pp. 590–607. Springer (2022)
2022
Later among the works it cites.
Ruan, L., Chen, B., Li, J., Lam, M.: Learning to deblur using light field generated and real defocus images. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 16304–16313 (2022)
2022
Later among the works it cites.
2022
Later among the works it cites.
Wu, Z., Li, X., Peng, J., Lu, H., Cao, Z., Zhong, W.: Dof-nerf: Depth-of-field meets neural radiance fields. In: Proceedings of the 30th ACM International Conference on Multimedia. pp. 1718–1729 (2022)
2022
Later among the works it cites.
Zamir, S.W., Arora, A., Khan, S., Hayat, M., Khan, F.S., Yang, M.H.: Restormer: Efficient transformer for high-resolution image restoration. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 5728–5739 (2022)
2022
Later among the works it cites.
Huang, X., Zhang, Q., Feng, Y., Li, H., Wang, Q.: Inverting the imaging process by learning an implicit camera model. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 21456–21465 (2023)
2023
Later among the works it cites.
Lee, D., Lee, M., Shin, C., Lee, S.: Dp-nerf: Deblurred neural radiance field with physical scene priors. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). pp. 12386–12396 (June 2023)
2023
Later among the works it cites.
Li, Z., Wang, Q., Cole, F., Tucker, R., Snavely, N.: Dynibar: Neural dynamic image-based rendering. In: CVPR. pp. 4273–4284 (2023)
2023
Later among the works it cites.
Liu, Y.L., Gao, C., Meuleman, A., Tseng, H.Y., Saraf, A., Kim, C., Chuang, Y.Y., Kopf, J., Huang, J.B.: Robust dynamic radiance fields. In: CVPR. pp. 13–23 (2023)
2023
Later among the works it cites.
Luo, X., Peng, J., Xian, K., Wu, Z., Cao, Z.: Defocus to focus: Photo-realistic bokeh rendering by fusing defocus and radiance priors. Information Fusion 89
2023
Later among the works it cites.
2023
Later among the works it cites.
Wang, C., MacDonald, L.E., Jeni, L.A., Lucey, S.: Flow supervision for deformable nerf. In: CVPR. pp. 21128–21137 (2023)
2023
Later among the works it cites.
Wang, Y., Shi, M., Li, J., Huang, Z., Cao, Z., Zhang, J., Xian, K., Lin, G.: Neural video depth stabilizer. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 9466–9476 (2023)
2023
Later among the works it cites.
Kim, M.J., Gu, G., Choo, J.: Lensnerf: Rethinking volume rendering based on thin-lens camera model. In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision. pp. 3182–3191 (2024)
2024
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