Fetching the paper…
Reading the bibliography…
Recently, Neural Radiance Fields (NeRF) is revolutionizing the task of novel view synthesis (NVS) for its superior performance.
Kajiya, J.T., Von Herzen, B.P.: Ray tracing volume densities. ACM SIGGRAPH Computer Graphics (SIGGRAPH) 18
1984
Earlier work this paper cites.
Greene, N.: Environment mapping and other applications of world projections. IEEE Computer Graphics and Applications (CG&A) 6
1986
Earlier work this paper cites.
Chen, S.E., Williams, L.: View interpolation for image synthesis. In: ACM SIGGRAPH Computer Graphics (SIGGRAPH). pp. 279–288 (1993)
1993
Earlier work this paper cites.
Levoy, M., Hanrahan, P.: Light field rendering. In: ACM SIGGRAPH Computer Graphics (SIGGRAPH). pp. 31–42 (1996)
1996
Earlier work this paper cites.
Shum, H., Kang, S.B.: Review of image-based rendering techniques. In: Visual Communications and Image Processing (VCIP). vol. 4067, pp. 2–13 (2000)
2000
Earlier work this paper cites.
Buehler, C., Bosse, M., McMillan, L., Gortler, S., Cohen, M.: Unstructured lumigraph rendering. In: ACM SIGGRAPH Computer Graphics (SIGGRAPH). pp. 425–432 (2001)
2001
Earlier work this paper cites.
Kingma, D.P., Ba, J.: Adam: A method for stochastic optimization. In: Proceedings of the The International Conference on Learning Representations (ICLR) (2015)
2015
Earlier work this paper cites.
Flynn, J., Neulander, I., Philbin, J., Snavely, N.: Deepstereo: Learning to predict new views from the world’s imagery. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). pp. 5515–5524 (2016)
2016
Earlier work this paper cites.
Kalantari, N.K., Wang, T.C., Ramamoorthi, R.: Learning-based view synthesis for light field cameras. ACM Transactions on Graphics (TOG) 35
2016
Earlier work this paper cites.
Penner, E., Zhang, L.: Soft 3d reconstruction for view synthesis. ACM Transactions on Graphics (TOG) 36
2017
Earlier work this paper cites.
Hedman, P., Philip, J., Price, T., Frahm, J.M., Drettakis, G., Brostow, G.: Deep blending for free-viewpoint image-based rendering. 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 Conference on Computer Vision and Pattern Recognition (CVPR). pp. 586–595 (2018)
2018
Earlier work this paper cites.
Zhou, T., Tucker, R., Flynn, J., Fyffe, G., Snavely, N.: Stereo magnification: learning view synthesis using multiplane images. ACM Transactions on Graphics (TOG) 37
2018
Earlier work this paper cites.
Choi, I., Gallo, O., Troccoli, A., Kim, M.H., Kautz, J.: Extreme view synthesis. In: Proceedings of the IEEE International Conference on Computer Vision (ICCV). pp. 7781–7790 (2019)
2019
Earlier work this paper cites.
Flynn, J., Broxton, M., Debevec, P., DuVall, M., Fyffe, G., Overbeck, R., Snavely, N., Tucker, R.: Deepview: View synthesis with learned gradient descent. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). pp. 2367–2376 (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 (TOG) 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.
Srinivasan, P.P., Tucker, R., Barron, J.T., Ramamoorthi, R., Ng, R., Snavely, N.: Pushing the boundaries of view extrapolation with multiplane images. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). pp. 175–184 (2019)
2019
Earlier work this paper cites.
Thies, J., Zollhöfer, M., Nießner, M.: Deferred neural rendering: Image synthesis using neural textures. ACM Transactions on Graphics (TOG) 38
2019
Earlier work this paper cites.
Xu, Z., Bi, S., Sunkavalli, K., Hadap, S., Su, H., Ramamoorthi, R.: Deep view synthesis from sparse photometric images. ACM Transactions on Graphics (TOG) 38
2019
Earlier work this paper cites.
Aliev, K.A., Sevastopolsky, A., Kolos, M., Ulyanov, D., Lempitsky, V.: Neural point-based graphics. In: Proceedings of the European Conference on Computer Vision (ECCV). pp. 696–712 (2020)
2020
Earlier work this paper cites.
Habtegebrial, T., Jampani, V., Gallo, O., Stricker, D.: Generative view synthesis: From single-view semantics to novel-view images. Proceedings of the Advances in Neural Information Processing Systems (NeurIPS) (2020)
2020
Earlier work this paper cites.
Huang, H.P., Tseng, H.Y., Lee, H.Y., Huang, J.B.: Semantic view synthesis. In: Proceedings of the European Conference on Computer Vision (ECCV). pp. 592–608 (2020)
2020
Earlier work this paper cites.
Liu, L., Gu, J., Lin, K.Z., Chua, T.S., Theobalt, C.: Neural sparse voxel fields. Proceedings of the Advances in Neural Information Processing Systems (NeurIPS) 33
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 (2020)
2020
Cited alongside, same era.
Niemeyer, M., Mescheder, L., Oechsle, M., Geiger, A.: Differentiable volumetric rendering: Learning implicit 3d representations without 3d supervision. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). pp. 3504–3515 (2020)
2020
Cited alongside, same era.
Riegler, G., Koltun, V.: Free view synthesis. In: Proceedings of the European Conference on Computer Vision (ECCV). pp. 623–640 (2020)
2020
Cited alongside, same era.
Piala, M., Clark, R.: Terminerf: Ray termination prediction for efficient neural rendering. In: Proceedings of the International Conference on 3D Vision (3DV). pp. 1106–1114 (2021)
2021
Later among the works it cites.
Pumarola, A., Corona, E., Pons-Moll, G., Moreno-Noguer, F.: D-nerf: Neural radiance fields for dynamic scenes. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). pp. 10318–10327 (2021)
2021
Later among the works it cites.
Rebain, D., Jiang, W., Yazdani, S., Li, K., Yi, K.M., Tagliasacchi, A.: Derf: Decomposed radiance fields. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). pp. 14153–14161 (2021)
2021
Later among the works it cites.
Reiser, C., Peng, S., Liao, Y., Geiger, A.: Kilonerf: Speeding up neural radiance fields with thousands of tiny mlps. In: Proceedings of the IEEE International Conference on Computer Vision (ICCV). pp. 14335–14345 (2021)
2021
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Srinivasan, P.P., Mildenhall, B., Tancik, M., Barron, J.T., Tucker, R., Snavely, N.: Lighthouse: Predicting lighting volumes for spatially-coherent illumination. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). pp. 8080–8089 (2020)
2020
Cited alongside, same era.
Tewari, A., Fried, O., Thies, J., Sitzmann, V., Lombardi, S., Sunkavalli, K., Martin-Brualla, R., Simon, T., Saragih, J., Nießner, M., et al.: State of the art on neural rendering. In: Computer Graphics Forum. pp. 701–727 (2020)
2020
Cited alongside, same era.
Tucker, R., Snavely, N.: Single-view view synthesis with multiplane images. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). pp. 551–560 (2020)
2020
Cited alongside, same era.
Yariv, L., Kasten, Y., Moran, D., Galun, M., Atzmon, M., Basri, R., Lipman, Y.: Multiview neural surface reconstruction by disentangling geometry and appearance. In: Proceedings of the Advances in Neural Information Processing Systems (NeurIPS). vol. 33, pp. 2492–2502 (2020)
2020
Cited alongside, same era.
Yoon, J.S., Kim, K., Gallo, O., Park, H.S., Kautz, J.: Novel view synthesis of dynamic scenes with globally coherent depths from a monocular camera. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). pp. 5336–5345 (2020)
2020
Cited alongside, same era.
2020
Cited alongside, same era.
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 International Conference on Computer Vision (ICCV). pp. 5855–5864 (2021)
2021
Cited alongside, same era.
Boss, M., Braun, R., Jampani, V., Barron, J.T., Liu, C., Lensch, H.: Nerd: Neural reflectance decomposition from image collections. In: Proceedings of the IEEE International Conference on Computer Vision (ICCV). pp. 12684–12694 (2021)
2021
Cited alongside, same era.
Riegler, G., Koltun, V.: Stable view synthesis. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). pp. 12216–12225 (2021)
2021
Later among the works it cites.
Srinivasan, P.P., Deng, B., Zhang, X., Tancik, M., Mildenhall, B., Barron, J.T.: Nerv: Neural reflectance and visibility fields for relighting and view synthesis. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). pp. 7495–7504 (2021)
2021
Later among the works it cites.
2021
Later among the works it cites.
Tewari, A., Fried, O., Thies, J., Sitzmann, V., Lombardi, S., Xu, Z., Simon, T., Nießner, M., Tretschk, E., Liu, L., et al.: Advances in neural rendering. In: ACM SIGGRAPH Computer Graphics (SIGGRAPH). pp. 1–320 (2021)
2021
Later among the works it cites.
Tretschk, E., Tewari, A., Golyanik, V., Zollhöfer, M., Lassner, C., Theobalt, C.: Non-rigid neural radiance fields: Reconstruction and novel view synthesis of a dynamic scene from monocular video. In: Proceedings of the IEEE International Conference on Computer Vision (ICCV). pp. 12959–12970 (2021)
2021
Later among the works it cites.
Trevithick, A., Yang, B.: Grf: Learning a general radiance field for 3d representation and rendering. In: Proceedings of the IEEE International Conference on Computer Vision (ICCV). pp. 15182–15192 (2021)
2021
Later among the works it cites.
2021
Later among the works it cites.
Wang, Q., Wang, Z., Genova, K., Srinivasan, P.P., Zhou, H., Barron, J.T., Martin-Brualla, R., Snavely, N., Funkhouser, T.: Ibrnet: Learning multi-view image-based rendering. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). pp. 4690–4699 (2021)
2021
Later among the works it cites.
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: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). pp. 9421–9431 (2021)
2021
Later among the works it cites.
Yen-Chen, L., Florence, P., Barron, J.T., Rodriguez, A., Isola, P., Lin, T.Y.: inerf: Inverting neural radiance fields for pose estimation. In: Proceedings of the International Conference on Intelligent Robots and Systems (IROS). pp. 1323–1330 (2021)
2021
Later among the works it cites.
Yu, A., Fridovich-Keil, S., Tancik, M., Chen, Q., Recht, B., Kanazawa, A.: Plenoxels: Radiance fields without neural networks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2021)
2021
Later among the works it cites.
Yu, A., Li, R., Tancik, M., Li, H., Ng, R., Kanazawa, A.: Plenoctrees for real-time rendering of neural radiance fields. In: Proceedings of the IEEE International Conference on Computer Vision (ICCV). pp. 5752–5761 (2021)
2021
Later among the works it cites.
Yu, A., Ye, V., Tancik, M., Kanazawa, A.: pixelnerf: Neural radiance fields from one or few images. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). pp. 4578–4587 (2021)
2021
Later among the works it cites.
Zhang, X., Srinivasan, P.P., Deng, B., Debevec, P., Freeman, W.T., Barron, J.T.: Nerfactor: Neural factorization of shape and reflectance under an unknown illumination. ACM Transactions on Graphics (TOG) 40
2021
Later among the works it cites.
2022
Closest in time.
2022
Closest in time.
2022
Closest in time.