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Neural radiance fields (NeRF) methods have demonstrated impressive novel view synthesis performance.
View interpolation for image synthesis
S. Chen and L. Williams · 1993
Earlier work this paper cites.
3D surface reconstruction from stereoscopic image sequences
R. Koch · 1995
Earlier work this paper cites.
Plenoptic modeling: An image-based rendering system
L. McMillan and G. Bishop · 1995
Earlier work this paper cites.
Efficient view-dependent image-based rendering with projective texture-mapping
P. Debevec, Y. Yu, and G. Borshukov · 1996
Earlier work this paper cites.
Modeling and rendering architecture from photographs: A hybrid geometry- and image- based approach
P. E. Debevec, C. J. Taylor, and J. Malik · 1996
Earlier work this paper cites.
The lumigraph
S. J. Gortler, R. Grzeszczuk, R. Szeliski, and M. F. Cohen · 1996
Earlier work this paper cites.
Light field rendering
M. Levoy and P. Hanrahan · 1996
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View morphing
S. M. Seitz and C. R. Dyer · 1996
Earlier work this paper cites.
Photorealistic scene reconstruction by voxel coloring
S. M. Seitz and C. R. Dyer · 1997
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Point sample rendering
J. P. Grossman and W. Dally · 1998
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A theory of shape by space carving
K. N. Kutulakos and S. M. Seitz · 1998
Earlier work this paper cites.
Surface splatting
M. Zwicker, H. Pfister, J. Van Baar, and M. Gross · 2001
Earlier work this paper cites.
Image-based rendering using image-based priors
A. W. Fitzgibbon, Y. Wexler, and A. Zisserman · 2003
Earlier work this paper cites.
Image quality assessment: From error visibility to structural similarity
Z. Wang, A. Bovik, H. Sheikh, and E. Simoncelli · 2004
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Segmentation as selective search for object recognition
K. van de Sande, J. Uijlings, T. Gevers, and A. Smeulders · 2011
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Depth synthesis and local warps for plausible image-based navigation
G. Chaurasia, S. Duchêne, O. Sorkine-Hornung, and G. Drettakis · 2013
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The visual turing test for scene reconstruction
Q. Shan, R. Adams, B. Curless, Y. Furukawa, and S. M. Seitz · 2013
Earlier work this paper cites.
Rich feature hierarchies for accurate object detection and semantic segmentation
R. B. Girshick, J. Donahue, T. Darrell, and J. Malik · 2014
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Fast R-CNN
R. B. Girshick · 2015
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Adam: A method for stochastic optimization
D. P. Kingma and J. Ba · 2015
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Faster R-CNN: Towards real-time object detection with region proposal networks
S. Ren, K. He, R. Girshick, and J. Sun · 2015
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DeepStereo: Learning to predict new views from the world’s imagery
J. Flynn, I. Neulander, J. Philbin, and N. Snavely · 2016
Earlier work this paper cites.
Temporal action localization in untrimmed videos via multi-stage cnns
Z. Shou, D. Wang, and S.-F. Chang · 2016
Earlier work this paper cites.
Soft 3D reconstruction for view synthesis
E. Penner and L. Zhang · 2017
Cited alongside, same era.
Attention is all you need
A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. Gomez, L. Kaiser, and I. Polosukhin · 2017
Cited alongside, same era.
R-C3D: Region convolutional 3D network for temporal activity detection
H. Xu, A. Das, and K. Saenko · 2017
Cited alongside, same era.
Temporal action detection with structured segment networks
Y. Zhao, Y. Xiong, L. Wang, Z. Wu, X. Tang, and D. Lin · 2017
Cited alongside, same era.
JAX: Composable transformations of Python+NumPy programs, 2018
J. Bradbury, R. Frostig, P. Hawkins, M. J. Johnson, C. Leary, D. Maclaurin, G. Necula, A. Paszke, J. VanderPlas, S. Wanderman-Milne, and Q. Zhang · 2018
Cited alongside, same era.
Point-based rendering enhancement via deep learning
G. Bui, T. Le, B. Morago, and Y. Duan · 2018
Cited alongside, same era.
D-NeRF: Neural radiance fields for dynamic scenes
A. Pumarola, E. Corona, G. Pons-Moll, and F. Moreno-Noguer · 2020
Later among the works it cites.
Free view synthesis
G. Riegler and V. Koltun · 2020
Later among the works it cites.
GRAF: Generative radiance fields for 3D-aware image synthesis
K. Schwarz, Y. Liao, M. Niemeyer, and A. Geiger · 2020
Later among the works it cites.
GRF: Learning a general radiance field for 3D scene representation and rendering
A. Trevithick and B. Yang · 2020
Later among the works it cites.
NeRF++: Analyzing and improving neural radiance fields
K. Zhang, G. Riegler, N. Snavely, and V. Koltun · 2020
Later among the works it cites.
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Deep blending for free-viewpoint image-based rendering
P. Hedman, J. Philip, T. Price, J. Frahm, G. Drettakis, and G. Brostow · 2018
Cited alongside, same era.
Differentiable particle filters: End-to-end learning with algorithmic priors
R. Jonschkowski, D. Rastogi, and O. Brock · 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.
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.
Occupancy networks: Learning 3D reconstruction in function space
L. Mescheder, M. Oechsle, M. Niemeyer, S. Nowozin, and A. Geiger · 2019
Cited alongside, same era.
Local light field fusion: Practical view synthesis with prescriptive sampling guidelines
B. Mildenhall, P. P. Srinivasan, R. Ortiz-Cayon, N. K. Kalantari, R. Ramamoorthi, R. Ng, and A. Kar · 2019
Cited alongside, same era.
M. Zhu, K. P. Murphy, and R. Jonschkowski · 2020
Later among the works it cites.
Mip-NeRF: A multiscale representation for anti-aliasing neural radiance fields
J. T. Barron, B. Mildenhall, M. Tancik, P. Hedman, R. Martin-Brualla, and P. P. Srinivasan · 2021
Closest in time.
pi-GAN: Periodic implicit generative adversarial networks for 3D-aware image synthesis
E. Chan, M. Monteiro, P. Kellnhofer, J. Wu, and G. Wetzstein · 2021
Closest in time.
FastNeRF: High-fidelity neural rendering at 200FPS
S. J. Garbin, M. Kowalski, M. Johnson, J. Shotton, and J. Valentin · 2021
Closest in time.
Baking neural radiance fields for real-time view synthesis
P. Hedman, P. P. Srinivasan, B. Mildenhall, J. T. Barron, and P. Debevec · 2021
Closest in time.
NeRF-VAE: A geometry aware 3D scene generative model
A. R. Kosiorek, H. Strathmann, D. Zoran, P. Moreno, R. Schneider, S. Mokrá, and D. J. Rezende · 2021
Closest in time.
Neural scene flow fields for space-time view synthesis of dynamic scenes
Z. Li, S. Niklaus, N. Snavely, and O. Wang · 2021
Closest in time.
AutoInt: Automatic integration for fast neural volume rendering
D. B. Lindell, J. N. Martel, and G. Wetzstein · 2021
Closest in time.
NeRF in the wild: Neural radiance fields for unconstrained photo collections
R. Martin-Brualla, N. Radwan, M. S. M. Sajjadi, J. T. Barron, A. Dosovitskiy, and D. Duckworth · 2021
Closest in time.
DeRF: Decomposed radiance fields
D. Rebain, W. Jiang, S. Yazdani, K. Li, K. M. Yi, and A. Tagliasacchi · 2021
Closest in time.
KiloNeRF: Speeding up neural radiance fields with thousands of tiny MLPs
C. Reiser, S. Peng, Y. Liao, and A. Geiger · 2021
Closest in time.
MLP-Mixer: An all-MLP architecture for vision
I. Tolstikhin, N. Houlsby, A. Kolesnikov, L. Beyer, X. Zhai, T. Unterthiner, J. Yung, A. Steiner, D. Keysers, J. Uszkoreit, M. Lucic, and A. Dosovitskiy · 2021
Closest in time.
IBRNet: Learning multi-view image-based rendering
Q. Wang, Z. Wang, K. Genova, P. Srinivasan, H. Zhou, J. T. Barron, R. Martin-Brualla, N. Snavely, and T. Funkhouser · 2021
Closest in time.
NeRF–: Neural radiance fields without known camera parameters
Z. Wang, S. Wu, W. Xie, M. Chen, and V. A. Prisacariu · 2021
Closest in time.
Space-time neural irradiance fields for free-viewpoint video
W. Xian, J.-B. Huang, J. Kopf, and C. Kim · 2021
Closest in time.
PlenOctrees for real-time rendering of neural radiance fields
A. Yu, R. Li, M. Tancik, H. Li, R. Ng, and A. Kanazawa · 2021
Closest in time.
pixelNeRF: Neural radiance fields from one or few images
A. Yu, V. Ye, M. Tancik, and A. Kanazawa · 2021
Closest in time.