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Recent advancements in 4D scene reconstruction using neural radiance fields (NeRF) have demonstrated the ability to represent dynamic scenes from multi-view videos.
Optical models for direct volume rendering
Max, N. 1995 · 1995
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Image quality assessment: from error visibility to structural similarity
Wang, Z.; Bovik, A. C.; Sheikh, H. R.; and Simoncelli, E. P. 2004 · 2004
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Synchronization of multi-camera video recordings based on audio
Shrstha, P.; Barbieri, M.; and Weda, H. 2007 · 2007
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D-NeRF: Neural Radiance Fields for Dynamic Scenes
Pumarola, A.; Corona, E.; Pons-Moll, G.; and Moreno-Noguer, F. 2020 · 2011
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The unreasonable effectiveness of deep features as a perceptual metric
Zhang, R.; Isola, P.; Efros, A. A.; Shechtman, E.; and Wang, O. 2018 · 2018
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Fourier features let networks learn high frequency functions in low dimensional domains
Tancik, M.; Srinivasan, P.; Mildenhall, B.; Fridovich-Keil, S.; Raghavan, N.; Singhal, U.; Ramamoorthi, R.; Barron, J.; and Ng, R. 2020 · 2020
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Self-Calibrating Neural Radiance Fields
Jeong, Y.; Ahn, S.; Choy, C.; Anandkumar, A.; Cho, M.; and Park, J. 2021 · 2021
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BARF: Bundle-Adjusting Neural Radiance Fields
Lin, C.-H.; Ma, W.-C.; Torralba, A.; and Lucey, S. 2021 · 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 · 2021
Cited alongside, same era.
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. 2021 · 2021
Cited alongside, same era.
Fast Dynamic Radiance Fields with Time-Aware Neural Voxels
Fang, J.; Yi, T.; Wang, X.; Xie, L.; Zhang, X.; Liu, W.; Nießner, M.; and Tian, Q. 2022 · 2022
Cited alongside, same era.
Monocular Dynamic View Synthesis: A Reality Check
Gao, H.; Li, R.; Tulsiani, S.; Russell, B.; and Kanazawa, A. 2022 · 2022
Cited alongside, same era.
Block-NeRF: Scalable Large Scene Neural View Synthesis
HyperReel: High-fidelity 6-DoF video with ray-conditioned sampling
Attal, B.; Huang, J.-B.; Richardt, C.; Zollhoefer, M.; Kopf, J.; O’Toole, M.; and Kim, C. 2023 · 2023
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Hexplane: A fast representation for dynamic scenes
Cao, A.; and Johnson, J. 2023 · 2023
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K-planes: Explicit radiance fields in space, time, and appearance
Fridovich-Keil, S.; Meanti, G.; Warburg, F. R.; Recht, B.; and Kanazawa, A. 2023 · 2023
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DynIBaR: Neural Dynamic Image-Based Rendering
Li, Z.; Wang, Q.; Cole, F.; Tucker, R.; and Snavely, N. 2023 · 2023
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Robust Dynamic Radiance Fields
Liu, Y.-L.; Gao, C.; Meuleman, A.; Tseng, H.-Y.; Saraf, A.; Kim, C.; Chuang, Y.-Y.; Kopf, J.; and Huang, J.-B. 2023 · 2023
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Temporal Interpolation Is All You Need for Dynamic Neural Radiance Fields
Park, S.; Son, M.; Jang, S.; Ahn, Y. C.; Kim, J.-Y.; and Kang, N. 2023 · 2023
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Tancik, M.; Casser, V.; Yan, X.; Pradhan, S.; Mildenhall, B.; Srinivasan, P. P.; Barron, J. T.; and Kretzschmar, H. 2022 · 2022
Cited alongside, same era.
HumanNeRF: Efficiently Generated Human Radiance Field From Sparse Inputs
Zhao, F.; Yang, W.; Zhang, J.; Lin, P.; Zhang, Y.; Yu, J.; and Xu, L. 2022 · 2022
Cited alongside, same era.
Streaming radiance fields for 3d video synthesis
Li, L.; Shen, Z.; Wang, Z.; Shen, L.; and Tan, P. 2022a
Cited in the paper.
Neural 3d video synthesis from multi-view video
Li, T.; Slavcheva, M.; Zollhoefer, M.; Green, S.; Lassner, C.; Kim, C.; Schmidt, T.; Lovegrove, S.; Goesele, M.; Newcombe, R.; et al. 2022b
Cited in the paper.
Nerfies: Deformable Neural Radiance Fields
Park, K.; Sinha, U.; Barron, J. T.; Bouaziz, S.; Goldman, D. B.; Seitz, S. M.; and Martin-Brualla, R. 2021a
Cited in the paper.
Hypernerf: A higher-dimensional representation for topologically varying neural radiance fields
Park, K.; Sinha, U.; Hedman, P.; Barron, J. T.; Bouaziz, S.; Goldman, D. B.; Martin-Brualla, R.; and Seitz, S. M. 2021b
Cited in the paper.
Mixed neural voxels for fast multi-view video synthesis
Wang, F.; Tan, S.; Li, X.; Tian, Z.; and Liu, H. 2022a
Cited in the paper.
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Nerfplayer: A streamable dynamic scene representation with decomposed neural radiance fields
Song, L.; Chen, A.; Li, Z.; Chen, Z.; Chen, L.; Yuan, J.; Xu, Y.; and Geiger, A. 2023 · 2023
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