Fetching the paper…
Reading the bibliography…
Recently, advances in differential volumetric rendering enabled significant breakthroughs in the photo-realistic and fine-detailed reconstruction of complex 3D scenes, which is key for many virtual reality applications.
Drebin, R.A., Carpenter, L., Hanrahan, P.: Volume rendering. ACM Siggraph Computer Graphics 22
1988
Earlier work this paper cites.
Efros, A.A., Leung, T.K.: Texture synthesis by non-parametric sampling. In: Proceedings of the seventh IEEE international conference on computer vision. vol. 2, pp. 1033–1038. IEEE (1999)
1999
Earlier work this paper cites.
Efros, A.A., Freeman, W.T.: Image quilting for texture synthesis and transfer. In: Proceedings of the 28th annual conference on Computer graphics and interactive techniques. pp. 341–346 (2001)
2001
Earlier work this paper cites.
Guillemot, C., Le Meur, O.: Image inpainting: Overview and recent advances. IEEE signal processing magazine 31
2013
Earlier work this paper cites.
Mekni, M., Lemieux, A.: Augmented reality: Applications, challenges and future trends. Applied computational science 20
2014
Earlier work this paper cites.
Owens, A., Barnes, C., Flint, A., Singh, H., Freeman, W.: Camouflaging an object from many viewpoints. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 2782–2789 (2014)
2014
Earlier work this paper cites.
Brock, A., Lim, T., Ritchie, J.M., Weston, N.J.: Generative and discriminative voxel modeling with convolutional neural networks. In: Advances in Neural Information Processing Systems (2016)
2016
Earlier work this paper cites.
Wu, J., Zhang, C., Xue, T., Freeman, B., Tenenbaum, J.: Learning a probabilistic latent space of object shapes via 3d generative-adversarial modeling. Advances in neural information processing systems 29
2016
Earlier work this paper cites.
2017
Earlier work this paper cites.
Mori, S., Ikeda, S., Saito, H.: A survey of diminished reality: Techniques for visually concealing, eliminating, and seeing through real objects. IPSJ Transactions on Computer Vision and Applications 9
2017
Earlier work this paper cites.
Riegler, G., Ulusoy, A.O., Geiger, A.: Octnet: Learning deep 3d representations at high resolutions. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (2017)
2017
Earlier work this paper cites.
Ahmed, E., Saint, A., Shabayek, A.E.R., Cherenkova, K., Das, R., Gusev, G., Aouada, D., Ottersten, B.E.: A survey on deep learning advances on different 3d data representations. arXiv: Computer Vision and Pattern Recognition (2018)
2018
Earlier work this paper cites.
Groueix, T., Fisher, M., Kim, V.G., Russell, B., Aubry, M.: AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation. In: Proceedings IEEE Conf. on Computer Vision and Pattern Recognition (CVPR) (2018)
2018
Earlier work this paper cites.
Wang, N., Zhang, Y., Li, Z., Fu, Y., Liu, W., Jiang, Y.G.: Pixel2mesh: Generating 3d mesh models from single rgb images. In: ECCV (2018)
2018
Earlier work this paper cites.
Hanocka, R., Hertz, A., Fish, N., Giryes, R., Fleishman, S., Cohen-Or, D.: Meshcnn: A network with an edge. ACM Trans. Graph. 38
2019
Earlier work this paper cites.
2019
Earlier work this paper cites.
Niemeyer, M., Mescheder, L.M., Oechsle, M., Geiger, A.: Occupancy flow: 4d reconstruction by learning particle dynamics. 2019 IEEE/CVF International Conference on Computer Vision (ICCV) pp. 5378–5388 (2019)
2019
Cited alongside, same era.
Oechsle, M., Mescheder, L.M., Niemeyer, M., Strauss, T., Geiger, A.: Texture fields: Learning texture representations in function space. 2019 IEEE/CVF International Conference on Computer Vision (ICCV) pp. 4530–4539 (2019)
2019
Cited alongside, same era.
Pan, J., Han, X., Chen, W., Tang, J., Jia, K.: Deep mesh reconstruction from single rgb images via topology modification networks. In: Proceedings of the IEEE International Conference on Computer Vision. pp. 9964–9973 (2019)
2019
Cited alongside, same era.
Park, J.J., Florence, P.R., Straub, J., Newcombe, R.A., Lovegrove, S.: Deepsdf: Learning continuous signed distance functions for shape representation. 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) pp. 165–174 (2019)
2019
Jang, W.J., de Agapito, L.: Codenerf: Disentangled neural radiance fields for object categories. 2021 IEEE/CVF International Conference on Computer Vision (ICCV) pp. 12929–12938 (2021)
2021
Later among the works it cites.
Liu, S., Zhang, X., Zhang, Z., Zhang, R., Zhu, J.Y., Russell, B.: Editing conditional radiance fields. In: Proceedings of the International Conference on Computer Vision (ICCV) (2021)
2021
Later among the works it cites.
Luo, K., Yang, G., Xian, W., Haraldsson, H., Hariharan, B., Belongie, S.: Stay positive: Non-negative image synthesis for augmented reality. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 10050–10060 (2021)
2021
Later among the works it cites.
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…
Cited alongside, same era.
Saito, S., Huang, Z., Natsume, R., Morishima, S., Kanazawa, A., Li, H.: Pifu: Pixel-aligned implicit function for high-resolution clothed human digitization. In: The IEEE International Conference on Computer Vision (ICCV) (October 2019)
2019
Cited alongside, same era.
Shu, D.W., Park, S.W., Kwon, J.: 3d point cloud generative adversarial network based on tree structured graph convolutions. 2019 IEEE/CVF International Conference on Computer Vision (ICCV) pp. 3858–3867 (2019)
2019
Cited alongside, same era.
Xie, H., Yao, H., Sun, X., Zhou, S., Zhang, S.: Pix2vox: Context-aware 3d reconstruction from single and multi-view images. In: ICCV (2019)
2019
Cited alongside, same era.
Yang, G., Huang, X., Hao, Z., Liu, M.Y., Belongie, S., Hariharan, B.: Pointflow: 3d point cloud generation with continuous normalizing flows. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 4541–4550 (2019)
2019
Cited alongside, same era.
Yu, J., Lin, Z., Yang, J., Shen, X., Lu, X., Huang, T.S.: Free-form image inpainting with gated convolution. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 4471–4480 (2019)
2019
Cited alongside, same era.
Hui, L., Xu, R., Xie, J., Qian, J., Yang, J.: Progressive point cloud deconvolution generation network. In: ECCV (2020)
2020
Cited alongside, same era.
Mildenhall, B., Srinivasan, P., Tancik, M., Barron, J., Ng, R.: Representing scenes as neural radiance fields for view synthesis. In: Proc. of European Conference on Computer Vision, Virtual (2020)
2020
Cited alongside, same era.
Tancik, M., Srinivasan, P., Mildenhall, B., Fridovich-Keil, S., Raghavan, N., Singhal, U., Ramamoorthi, R., Barron, J., Ng, R.: Fourier features let networks learn high frequency functions in low dimensional domains. Advances in Neural Information Processing Systems 33
2020
Cited alongside, same era.
2021
Later among the works it cites.
Niemeyer, M., Geiger, A.: Giraffe: Representing scenes as compositional generative neural feature fields. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 11453–11464 (2021)
2021
Later among the works it cites.
Radford, A., Kim, J.W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., et al.: Learning transferable visual models from natural language supervision. In: International Conference on Machine Learning. pp. 8748–8763. PMLR (2021)
2021
Later among the works it cites.
2021
Later among the works it cites.
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: CVPR (2021)
2021
Later among the works it cites.
2021
Later among the works it cites.
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: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2021)
2021
Later among the works it cites.
2022
Closest in time.