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Multi-resolution hash encoding has recently been proposed to reduce the computational cost of neural renderings, such as NeRF.
Ray tracing volume densities
Kajiya, J. T. and Herzen, B. P. V · 1984
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Optimized spatial hashing for collision detection of deformable objects
Teschner, M., Heidelberger, B., Müller, M., Pomerantes, D., and Gross, M. H · 2003
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Deep sparse rectifier neural networks
Glorot, X., Bordes, A., and Bengio, Y · 2011
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Estimating or propagating gradients through stochastic neurons for conditional computation
Bengio, Y., Léonard, N., and Courville, A. C · 2013
Earlier work this paper cites.
Structure-from-motion revisited
Schönberger, J. L. and Frahm, J.-M · 2016
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Nsml: Meet the mlaas platform with a real-world case study
Kim, H., Kim, M., Seo, D., Kim, J., Park, H., Park, S., Jo, H., Kim, K., Yang, Y., Kim, Y., et al · 2018
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On the continuity of rotation representations in neural networks
Zhou, Y., Barnes, C., Lu, J., Yang, J., and Li, H · 2018
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Local light field fusion: Practical view synthesis with prescriptive sampling guidelines
Mildenhall, B., Srinivasan, P. P., Ortiz-Cayon, R., Kalantari, N. K., Ramamoorthi, R., Ng, R., and Kar, A · 2019
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Neural sparse voxel fields
Liu, L., Gu, J., Lin, K. Z., Chua, T.-S., and Theobalt, C · 2020
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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
Earlier work this paper cites.
Fourier features let networks learn high frequency functions in low dimensional domains
Tancik, M., Srinivasan, P. P., Mildenhall, B., Fridovich-Keil, S., Raghavan, N., Singhal, U., Ramamoorthi, R., Barron, J. T., and Ng, R · 2020
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Nerf++: Analyzing and improving neural radiance fields
Zhang, K., Riegler, G., Snavely, N., and Koltun, V · 2020
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Mip-nerf: A multiscale representation for anti-aliasing neural radiance fields
Barron, J. T., Mildenhall, B., Tancik, M., Hedman, P., Martin-Brualla, R., and Srinivasan, P. P · 2021
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. P · 2021
Earlier work this paper cites.
Mvsnerf: Fast generalizable radiance field reconstruction from multi-view stereo
Chen, A., Xu, Z., Zhao, F., Zhang, X., Xiang, F., Yu, J., and Su, H · 2021
Earlier work this paper cites.
Stereo radiance fields (srf): Learning view synthesis from sparse views of novel scenes
Chibane, J., Bansal, A., Lazova, V., and Pons-Moll, G · 2021
Earlier work this paper cites.
Baking neural radiance fields for real-time view synthesis
Hedman, P., Srinivasan, P. P., Mildenhall, B., Barron, J. T., and Debevec, P · 2021
Cited alongside, same era.
Putting nerf on a diet: Semantically consistent few-shot view synthesis
Jain, A., Tancik, M., and Abbeel, P · 2021
Cited alongside, same era.
Self-calibrating neural radiance fields
Jeong, Y., Ahn, S., Choy, C., Anandkumar, A., Cho, M., and Park, J · 2021
Cited alongside, same era.
Barf: Bundle-adjusting neural radiance fields
Lin, C.-H., Ma, W.-C., Torralba, A., and Lucey, S · 2021
Cited alongside, same era.
NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections
Martin-Brualla, R., Radwan, N., Sajjadi, M. S. M., Barron, J. T., Dosovitskiy, A., and Duckworth, D · 2021
Cited alongside, same era.
Real-time neural radiance caching for path tracing
Müller, T., Rousselle, F., Novák, J., and Keller, A · 2021
Diver: Real-time and accurate neural radiance fields with deterministic integration for volume rendering
Wu, L., Lee, J. Y., Bhattad, A., Wang, Y., and Forsyth, D · 2021
Later among the works it cites.
Volume rendering of neural implicit surfaces
Yariv, L., Gu, J., Kasten, Y., and Lipman, Y · 2021
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iNeRF: Inverting neural radiance fields for pose estimation
Yen-Chen, L., Florence, P., Barron, J. T., Rodriguez, A., Isola, P., and Lin, T.-Y · 2021
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Mip-nerf 360: Unbounded anti-aliased neural radiance fields
Barron, J. T., Mildenhall, B., Verbin, D., Srinivasan, P. P., and Hedman, P · 2022
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Garf: Gaussian activated radiance fields for high fidelity reconstruction and pose estimation
Chng, S.-F., Ramasinghe, S., Sherrah, J., and Lucey, S · 2022
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Zero-shot text-guided object generation with dream fields
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Cited alongside, same era.
DONeRF: Towards Real-Time Rendering of Compact Neural Radiance Fields using Depth Oracle Networks
Neff, T., Stadlbauer, P., Parger, M., Kurz, A., Mueller, J. H., Chaitanya, C. R. A., Kaplanyan, A. S., and Steinberger, M · 2021
Cited alongside, same era.
Giraffe: Representing scenes as compositional generative neural feature fields
Niemeyer, M. and Geiger, A · 2021
Cited alongside, same era.
Unisurf: Unifying neural implicit surfaces and radiance fields for multi-view reconstruction
Oechsle, M., Peng, S., and Geiger, A · 2021
Cited alongside, same era.
Nerfies: Deformable neural radiance fields
Park, K., Sinha, U., Barron, J. T., Bouaziz, S., Goldman, D. B., Seitz, S. M., and Martin-Brualla, R · 2021
Cited alongside, same era.
D-nerf: Neural radiance fields for dynamic scenes
Pumarola, A., Corona, E., Pons-Moll, G., and Moreno-Noguer, F · 2021
Cited alongside, same era.
Derf: Decomposed radiance fields
Rebain, D., Jiang, W., Yazdani, S., Li, K., Yi, K. M., and Tagliasacchi, A · 2021
Cited alongside, same era.
Jain, A., Mildenhall, B., Barron, J. T., Abbeel, P., and Poole, B · 2022
Later among the works it cites.
Relu fields: The little non-linearity that could
Karnewar, A., Ritschel, T., Wang, O., and Mitra, N · 2022
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Pins: Progressive implicit networks for multi-scale neural representations
Landgraf, Z., Hornung, A. S., and Cabral, R. S · 2022
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Instant neural graphics primitives with a multiresolution hash encoding
Müller, T., Evans, A., Schied, C., and Keller, A · 2022
Later among the works it cites.
Lolnerf: Learn from one look
Rebain, D., Matthews, M., Yi, K. M., Lagun, D., and Tagliasacchi, A · 2022
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Plenoxels: Radiance fields without neural networks
Sara Fridovich-Keil and Alex Yu, Tancik, M., Chen, Q., Recht, B., and Kanazawa, A · 2022
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Direct voxel grid optimization: Super-fast convergence for radiance fields reconstruction
Sun, C., Sun, M., and Chen, H · 2022
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Fourier plenoctrees for dynamic radiance field rendering in real-time
Wang, L., Zhang, J., Liu, X., Zhao, F., Zhang, Y., Zhang, Y., Wu, M., Xu, L., and Yu, J · 2022
Later among the works it cites.
Sinerf: Sinusoidal neural radiance fields for joint pose estimation and scene reconstruction
Xia, Y., Tang, H., Timofte, R., and Van Gool, L · 2022
Later among the works it cites.
Sinnerf: Training neural radiance fields on complex scenes from a single image
Xu, D., Jiang, Y., Wang, P., Fan, Z., Shi, H., and Wang, Z · 2022
Later among the works it cites.