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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLVIII-2/W3-2023
https://doi.org/10.5194/isprs-archives-XLVIII-2-W3-2023-115-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/isprs-archives-XLVIII-2-W3-2023-115-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
12 May 2023
| 12 May 2023
DOUBLE NERF: REPRESENTING DYNAMIC SCENES AS NEURAL RADIANCE FIELDS
V. V. Kniaz
State Res. Institute of Aviation Systems (GosNIIAS), 125319, 7, Victorenko str., Moscow, Russia
Moscow Institute of Physics and Technology (MIPT), Russia
V. A. Knyaz
State Res. Institute of Aviation Systems (GosNIIAS), 125319, 7, Victorenko str., Moscow, Russia
Moscow Institute of Physics and Technology (MIPT), Russia
A. Bordodymov
State Res. Institute of Aviation Systems (GosNIIAS), 125319, 7, Victorenko str., Moscow, Russia
P. Moshkantsev
State Res. Institute of Aviation Systems (GosNIIAS), 125319, 7, Victorenko str., Moscow, Russia
D. Novikov
State Res. Institute of Aviation Systems (GosNIIAS), 125319, 7, Victorenko str., Moscow, Russia
S. Barylnik
State Res. Institute of Aviation Systems (GosNIIAS), 125319, 7, Victorenko str., Moscow, Russia
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V. A. Knyaz, A. A. Maksimov, and M. M. Novikov
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W12, 117–122, https://doi.org/10.5194/isprs-archives-XLII-2-W12-117-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W12-117-2019, 2019
V. V. Kniaz, F. Remondino, and V. A. Knyaz
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W9, 403–408, https://doi.org/10.5194/isprs-archives-XLII-2-W9-403-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W9-403-2019, 2019
A. G. Chibunichev, V. A. Knyaz, D. V. Zhuravlev, and V. M. Kurkov
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 235–240, https://doi.org/10.5194/isprs-archives-XLII-2-235-2018, https://doi.org/10.5194/isprs-archives-XLII-2-235-2018, 2018
A. Gaboutchian, H. Simonyan, V. Knyaz, G. Petrosyan, L. Ter-Vardanyan, N. A. Leybova, and S. V. Apresyan
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 339–345, https://doi.org/10.5194/isprs-archives-XLII-2-339-2018, https://doi.org/10.5194/isprs-archives-XLII-2-339-2018, 2018
V. Gorbatsevich, Y. Vizilter, V. Knyaz, and A. Moiseenko
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 379–384, https://doi.org/10.5194/isprs-archives-XLII-2-379-2018, https://doi.org/10.5194/isprs-archives-XLII-2-379-2018, 2018
V. V. Kniaz, V. V. Fedorenko, and N. A. Fomin
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 513–518, https://doi.org/10.5194/isprs-archives-XLII-2-513-2018, https://doi.org/10.5194/isprs-archives-XLII-2-513-2018, 2018
V. V. Kniaz and V. A. Mizginov
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 519–524, https://doi.org/10.5194/isprs-archives-XLII-2-519-2018, https://doi.org/10.5194/isprs-archives-XLII-2-519-2018, 2018
V. A. Knyaz, N. A. Leybova, R. Galeev, M. Novikov, and A. V. Gaboutchian
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 525–530, https://doi.org/10.5194/isprs-archives-XLII-2-525-2018, https://doi.org/10.5194/isprs-archives-XLII-2-525-2018, 2018
M. A. Lebedev, Y. V. Vizilter, O. V. Vygolov, V. A. Knyaz, and A. Y. Rubis
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 565–571, https://doi.org/10.5194/isprs-archives-XLII-2-565-2018, https://doi.org/10.5194/isprs-archives-XLII-2-565-2018, 2018
V. V. Kniaz
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B5, 63–68, https://doi.org/10.5194/isprs-archives-XLI-B5-63-2016, https://doi.org/10.5194/isprs-archives-XLI-B5-63-2016, 2016
V. A. Knyaz and A. G. Chibunichev
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B5, 515–520, https://doi.org/10.5194/isprs-archives-XLI-B5-515-2016, https://doi.org/10.5194/isprs-archives-XLI-B5-515-2016, 2016
The International Society for Photogrammetry and Remote Sensing is a non-governmental organization devoted to the development of international cooperation for the advancement of photogrammetry and remote sensing and their applications. The Society operates without any discrimination on grounds of race, religion, nationality, or political philosophy.
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