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We propose and evaluate a neural point-based graphics method that can model semi-transparent scene parts.
Stereo matching with transparency and matting
R. Szeliski and P. Golland · 1998
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Point based computer graphics
M. Gross, H. Pfister, M. Alexa, M. Pauly, M. Stamminger, and M. Zwicker · 2002
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A survey of point-based techniques in computer graphics
L. Kobbelt and M. Botsch · 2004
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Transparency (or translucency) rendering, https://developer.nvidia.com/content/transparency-or-translucency-rendering, 2014
A. Dunn · 2014
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Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2014
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U-net: Convolutional networks for biomedical image segmentation
O. Ronneberger, P. Fischer, and T. Brox · 2015
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Perceptual losses for real-time style transfer and super-resolution
J. Johnson, A. Alahi, and L. Fei-Fei · 2016
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Point-based rendering enhancement via deep learning
G. Bui, T. Le, B. Morago, and Y. Duan · 2018
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The unreasonable effectiveness of deep features as a perceptual metric
R. Zhang, P. Isola, A. A. Efros, E. Shechtman, and O. Wang · 2018
Cited alongside, same era.
Stereo magnification: learning view synthesis using multiplane images
T. Zhou, R. Tucker, J. Flynn, G. Fyffe, and N. Snavely · 2018
Cited alongside, same era.
Metashape software
Agisoft · 2019
Cited alongside, same era.
Deepview: View synthesis with learned gradient descent
J. Flynn, M. Broxton, P. Debevec, M. DuVall, G. Fyffe, R. Overbeck, N. Snavely, and R. Tucker · 2019
Cited alongside, same era.
Neural volumes: Learning dynamic renderable volumes from images
S. Lombardi, T. Simon, J. Saragih, G. Schwartz, A. Lehrmann, and Y. Sheikh · 2019
Cited alongside, same era.
Neural rerendering in the wild
M. Meshry, D. B. Goldman, S. Khamis, H. Hoppe, R. Pandey, N. Snavely, and R. Martin-Brualla · 2019
Cited alongside, same era.
Deepvoxels: Learning persistent 3d feature embeddings
V. Sitzmann, J. Thies, F. Heide, M. Nießner, G. Wetzstein, and M. Zollhöfer · 2019
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Scene representation networks: Continuous 3d-structure-aware neural scene representations
V. Sitzmann, M. Zollhöfer, and G. Wetzstein · 2019
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Deferred neural rendering: Image synthesis using neural textures
J. Thies, M. Zollhöfer, and M. Nießner · 2019
Later among the works it cites.
Differentiable surface splatting for point-based geometry processing
W. Yifan, F. Serena, S. Wu, C. Öztireli, and O. Sorkine-Hornung · 2019
Later among the works it cites.
Neural point-based graphics
K.-A. Aliev, A. Sevastopolsky, M. Kolos, D. Ulyanov, and V. Lempitsky · 2020
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Nerf: Representing scenes as neural radiance fields for view synthesis
B. Mildenhall, P. P. Srinivasan, M. Tancik, J. T. Barron, R. Ramamoorthi, and R. Ng · 2020
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Revealing scenes by inverting structure from motion reconstructions
F. Pittaluga, S. J. Koppal, S. B. Kang, and S. N. Sinha · 2019
Cited alongside, same era.
Closest in time.
State of the art on neural rendering, 2020
A. Tewari, O. Fried, J. Thies, V. Sitzmann, S. Lombardi, K. Sunkavalli, R. Martin-Brualla, T. Simon, J. Saragih, M. Nießner, R. Pandey, S. Fanello, G. Wetzstein, J.-Y. Zhu, C. Theobalt, M. Agrawala, E. Shechtman, D. B. Goldman, and M. Zollhöfer · 2020
Closest in time.