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Besides the COVID-19 pandemic and political upheaval in the US, 2020 was also the year in which neural volume rendering exploded onto the scene, triggered by the impressive NeRF paper by Mildenhall et al.
Neural reflectance fields for appearance acquisition
Bi, S., Xu, Z., Srinivasan, P., Mildenhall, B., Sulkavalli, K., Hašan, M., Hold-Geoffroy, Y., Kriegman, D., and Ramamoorthi, R. (2020) · 2008
Earlier work this paper cites.
NeRF in the wild: Neural radiance fields for unconstrained photo collections
Martin-Brualla, R., Radwan, N., Sajjadi, M., Barron, J. T., Dosovitskiy, A., and Duckworth, D. (2020) · 2008
Earlier work this paper cites.
GRF: Learning a general radiance field for 3D scene representation and rendering
Trevithick, A. and Yang, B. (2020) · 2010
Earlier work this paper cites.
NERF++: Analyzing and improving neural radiance fields
Zhang, K., Riegler, G., Snavely, N., and Koltun, V. (2020) · 2010
Earlier work this paper cites.
Neural scene flow fields for space-time view synthesis of dynamic scenes
Li, Z., Niklaus, S., Snavely, N., and Wang, O. (2020) · 2011
Earlier work this paper cites.
GIRAFFE: Representing scenes as compositional generative neural feature fields
Niemeyer, M. and Geiger, A. (2020) · 2011
Earlier work this paper cites.
Neural scene graphs for dynamic scenes
Ost, J., Mannan, F., Thürey, N., Knodt, J., and Heide, F. (2020) · 2011
Earlier work this paper cites.
Deformable neural radiance fields
Park, K., Sinha, U., Barron, J. T., Bouaziz, S., Goldman, D., Seitz, S., and Martin-Brualla, R. (2020) · 2011
Earlier work this paper cites.
D-NeRF: Neural radiance fields for dynamic scenes
Pumarola, A., Corona, E., Pons-Moll, G., and Moreno-Noguer, F. (2020) · 2011
Earlier work this paper cites.
DeRF: Decomposed radiance fields
Rebain, D., Jiang, W., Yazdani, S., Li, K., Yi, K. M., and Tagliasacchi, A. (2020) · 2011
Earlier work this paper cites.
Space-time neural irradiance fields for free-viewpoint video
Xian, W., Huang, J.-B., Kopf, J., and Kim, C. (2020) · 2011
Earlier work this paper cites.
NeRD: Neural reflectance decomposition from image collections
Boss, M., Braun, R., Jampani, V., Barron, J. T., Liu, C., and Lensch, H. (2020) · 2012
Earlier work this paper cites.
pi-GAN: Periodic implicit generative adversarial networks for 3D-aware image synthesis
Chan, E., Monteiro, M., Kellnhofer, P., Wu, J., and Wetzstein, G. (2020) · 2012
Earlier work this paper cites.
Neural radiance flow for 4D view synthesis and video processing
Du, Y., Zhang, Y., Yu, H.-X., Tenenbaum, J. B., and Wu, J. (2020) · 2012
Earlier work this paper cites.
Dynamic neural radiance fields for monocular 4D facial avatar reconstruction
Gafni, G., Thies, J., Zollhöfer, M., and Nießner, M. (2020) · 2012
Cited alongside, same era.
Portrait neural radiance fields from a single image
Gao, C., Shih, Y., Lai, W.-S., Liang, C.-K., and Huang, J.-B. (2020) · 2012
Cited alongside, same era.
Object-centric neural scene rendering
Guo, M., Fathi, A., Wu, J., and Funkhouser, T. (2020) · 2012
Cited alongside, same era.
AutoInt: Automatic integration for fast neural volume rendering
Lindell, D., Martel, J., and Wetzstein, G. (2020) · 2012
Cited alongside, same era.
NeRV: Neural reflectance and visibility fields for relighting and view synthesis
DeepSDF: Learning continuous signed distance functions for shape representation
Park, J. J., Florence, P., Straub, J., Newcombe, R., and Lovegrove, S. (2019) · 2019
Later among the works it cites.
PIFu: Pixel-aligned implicit function for high-resolution clothed human digitization
Saito, S., Huang, Z., Natsume, R., Morishima, S., Kanazawa, A., and Li, H. (2019) · 2019
Later among the works it cites.
Scene representation networks: Continuous 3D-structure-aware neural scene representations
Sitzmann, V., Zollhöfer, M., and Wetzstein, G. (2019) · 2019
Later among the works it cites.
Deep local shapes: Learning local SDF priors for detailed 3D reconstruction
Chabra, R., Lenssen, J., Ilg, E., Schmidt, T., Straub, J., Lovegrove, S., and Newcombe, R. (2020) · 2020
Closest in time.
BSP-Net: Generating compact meshes via binary space partitioning
Chen, Z., Tagliasacchi, A., and Zhang, H. (2020) · 2020
Closest in time.
NeRF Explosion 2020
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Srinivasan, P., Deng, B., Zhang, X., Tancik, M., Mildenhall, B., and Barron, J. T. (2020) · 2012
Cited alongside, same era.
Learned initializations for optimizing coordinate-based neural representations
Tancik, M., Mildenhall, B., Wang, T., Schmidt, D., Srinivasan, P., Barron, J. T., and Ng, R. (2020) · 2012
Cited alongside, same era.
Tretschk, E., Tewari, A., Golyanik, V., Zollhöfer, M., Lassner, C., and Theobalt, C. (2020) · 2012
Cited alongside, same era.
iNeRF: Inverting neural radiance fields for pose estimation
Yen-Chen, L., Florence, P., Barron, J. T., Rodriguez, A., Isola, P., and Lin, T.-Y. (2020) · 2012
Cited alongside, same era.
pixelNeRF: Neural radiance fields from one or few images
Yu, A., Ye, V., Tancik, M., and Kanazawa, A. (2020) · 2012
Cited alongside, same era.
Learning implicit fields for generative shape modeling
Chen, Z. and Zhang, H. (2019) · 2019
Cited alongside, same era.
Learning shape templates with structured implicit functions
Genova, K., Cole, F., Vlasic, D., Sarna, A., Freeman, W., and Funkhouser, T. (2019) · 2019
Cited alongside, same era.
Neural volumes: Learning dynamic renderable volumes from images
Lombardi, S., Simon, T., Saragih, J., Schwartz, G., Lehrmann, A., and Sheikh, Y. (2019) · 2019
Cited alongside, same era.
Dellaert, F. (2020) · 2020
Closest in time.
Neural sparse voxel fields
Liu, L., Gu, J., Lin, K. Z., Chua, T.-S., and Theobalt, C. (2020) · 2020
Closest in time.
NeRF: Representing scenes as neural radiance fields for view synthesis
Mildenhall, B., Srinivasan, P. P., Tancik, M., Barron, J. T., Ramamoorthi, R., and Ng, R. (2020) · 2020
Closest in time.
Graf: Generative radiance fields for 3D-aware image synthesis
Schwarz, K., Liao, Y., Niemeyer, M., and Geiger, A. (2020) · 2020
Closest in time.
State of the Art on Neural Rendering
Tewari, A., Fried, O., Thies, J., Sitzmann, V., Lombardi, S., Sunkavalli, K., Martin-Brualla, R., Simon, T., Saragih, J., Nießner, M., Pandey, R., Fanello, S., Wetzstein, G., Zhu, J.-Y., Theobalt, C., Agrawala, M., Shechtman, E., Goldman, D. B., and Zollhöfer, M. (2020) · 2020
Closest in time.
Multiview neural surface reconstruction by disentangling geometry and appearance
Yariv, L., Kasten, Y., Moran, D., Galun, M., Atzmon, M., Basri, R., and Lipman, Y. (2020) · 2020
Closest in time.
Awesome neural radiance fields
Yen-Chen, L. (2020) · 2020
Closest in time.
STaR: Self-supervised tracking and reconstruction of rigid objects in motion with neural rendering
Yuan, W., Lv, Z., Schmidt, T., and Lovegrove, S. (2021) · 2021
Closest in time.