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Novel View Synthesis (NVS) is concerned with synthesizing views under camera viewpoint transformations from one or multiple input images.
Mental rotation of three-dimensional objects
R. N. Shepard and J. Metzler · 1971
Earlier work this paper cites.
Aspect graphs and their use in object recognition
D. Eggert, L. Stark, and K. Bowyer · 1995
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.
Cooperative object manipulation in immersive virtual environments: framework and techniques
M. S. Pinho, D. A. Bowman, and C. M. Freitas · 2002
Earlier work this paper cites.
Image-based rendering using image-based priors
A. Fitzgibbon, Y. Wexler, and A. Zisserman · 2005
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A comparison and evaluation of multi-view stereo reconstruction algorithms
S. M. Seitz, B. Curless, J. Diebel, D. Scharstein, and R. Szeliski · 2006
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Do readers believe what they see?: reader acceptance of image manipulation
R. J. Oriez · 2009
Earlier work this paper cites.
Transforming auto-encoders
G. E. Hinton, A. Krizhevsky, and S. D. Wang · 2011
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3d object representations for fine-grained categorization
J. Krause, M. Stark, J. Deng, and L. Fei-Fei · 2013
Earlier work this paper cites.
Generative adversarial nets
I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio · 2014
Earlier work this paper cites.
Conditional generative adversarial nets
M. Mirza and S. Osindero · 2014
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Multi-view perceptron: a deep model for learning face identity and view representations
Z. Zhu, P. Luo, X. Wang, and X. Tang · 2014
Earlier work this paper cites.
Shapenet: An information-rich 3d model repository
A. X. Chang, T. Funkhouser, L. Guibas, P. Hanrahan, Q. Huang, Z. Li, S. Savarese, M. Savva, S. Song, H. Su, and others · 2015
Earlier work this paper cites.
Spatial transformer networks
M. Jaderberg, K. Simonyan, A. Zisserman, and others · 2015
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Picture: A Probabilistic Programming Language for Scene Perception
T. D. Kulkarni, P. Kohli, J. B. Tenenbaum, and V. Mansinghka · 2015
Earlier work this paper cites.
Deep convolutional inverse graphics network
T. D. Kulkarni, W. F. Whitney, P. Kohli, and J. Tenenbaum · 2015
Earlier work this paper cites.
Unsupervised representation learning with deep convolutional generative adversarial networks
A. Radford, L. Metz, and S. Chintala · 2015
Earlier work this paper cites.
U-net: Convolutional networks for biomedical image segmentation
O. Ronneberger, P. Fischer, and T. Brox · 2015
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Weakly-supervised disentangling with recurrent transformations for 3d view synthesis
J. Yang, S. E. Reed, M.-H. Yang, and H. Lee · 2015
Earlier work this paper cites.
Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
Earlier work this paper cites.
Perceptual losses for real-time style transfer and super-resolution
J. Johnson, A. Alahi, and L. Fei-Fei · 2016
Earlier work this paper cites.
Multi-view 3d models from single images with a convolutional network
M. Tatarchenko, A. Dosovitskiy, and T. Brox · 2016
Earlier work this paper cites.
Perspective transformer nets: Learning single-view 3d object reconstruction without 3d supervision
X. Yan, J. Yang, E. Yumer, Y. Guo, and H. Lee · 2016
Earlier work this paper cites.
View synthesis by appearance flow
T. Zhou, S. Tulsiani, W. Sun, J. Malik, and A. A. Efros · 2016
Cited alongside, same era.
Image-to-image translation with conditional adversarial networks
P. Isola, J.-Y. Zhu, T. Zhou, and A. A. Efros · 2017
Cited alongside, same era.
Augmented reality versus virtual reality for 3d object manipulation
M. Krichenbauer, G. Yamamoto, T. Taketom, C. Sandor, and H. Kato · 2017
Cited alongside, same era.
Transformation-Grounded Image Generation Network for Novel 3D View Synthesis
E. Park, J. Yang, E. Yumer, D. Ceylan, and A. C. Berg · 2017
Cited alongside, same era.
Neural face editing with intrinsic image disentangling
Z. Shu, E. Yumer, S. Hadap, K. Sunkavalli, E. Shechtman, and D. Samaras · 2017
Cited alongside, same era.
Adversarial inverse graphics networks: Learning 2d-to-3d lifting and image-to-image translation from unpaired supervision
Neural volumes: learning dynamic renderable volumes from images
S. Lombardi, T. Simon, J. Saragih, G. Schwartz, A. Lehrmann, and Y. Sheikh · 2019
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Occupancy networks: Learning 3d reconstruction in function space
L. Mescheder, M. Oechsle, M. Niemeyer, S. Nowozin, and A. Geiger · 2019
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Predicting Novel Views Using Generative Adversarial Query Network
P. Nguyen-Ha, L. Huynh, E. Rahtu, and J. Heikkilä · 2019
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Hologan: Unsupervised learning of 3d representations from natural images
T. Nguyen-Phuoc, C. Li, L. Theis, C. Richardt, and Y.-L. Yang · 2019
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Transformable bottleneck networks
K. Olszewski, S. Tulyakov, O. Woodford, H. Li, and L. Luo · 2019
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Deepsdf: Learning continuous signed distance functions for shape representation
J. J. Park, P. Florence, J. Straub, R. Newcombe, and S. Lovegrove · 2019
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H.-Y. F. Tung, A. W. Harley, W. Seto, and K. Fragkiadaki · 2017
Cited alongside, same era.
Interpretable transformations with encoder-decoder networks
D. E. Worrall, S. J. Garbin, D. Turmukhambetov, and G. J. Brostow · 2017
Cited alongside, same era.
Unpaired image-to-image translation using cycle-consistent adversarial networks
J.-Y. Zhu, T. Park, P. Isola, and A. A. Efros · 2017
Cited alongside, same era.
Learning Representations and Generative Models for 3D Point Clouds
P. Achlioptas, O. Diamanti, I. Mitliagkas, and L. Guibas · 2018
Cited alongside, same era.
Large Scale GAN Training for High Fidelity Natural Image Synthesis
A. Brock, J. Donahue, and K. Simonyan · 2018
Cited alongside, same era.
Neural scene representation and rendering
S. A. Eslami, D. J. Rezende, F. Besse, F. Viola, A. S. Morcos, M. Garnelo, A. Ruderman, A. A. Rusu, I. Danihelka, K. Gregor, and others · 2018
Cited alongside, same era.
Morphable face models-an open framework
T. Gerig, A. Morel-Forster, C. Blumer, B. Egger, M. Luthi, S. Schönborn, and T. Vetter · 2018
Cited alongside, same era.
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On the Spectral Bias of Neural Networks
N. Rahaman, A. Baratin, D. Arpit, F. Draxler, M. Lin, F. Hamprecht, Y. Bengio, and A. Courville · 2019
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Recurrent convolutional strategies for face manipulation detection in videos
E. Sabir, J. Cheng, A. Jaiswal, W. AbdAlmageed, I. Masi, and P. Natarajan · 2019
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Pifu: Pixel-aligned implicit function for high-resolution clothed human digitization
S. Saito, Z. Huang, R. Natsume, S. Morishima, A. Kanazawa, and H. Li · 2019
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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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GEOMetrics: Exploiting Geometric Structure for Graph-Encoded Objects
E. Smith, S. Fujimoto, A. Romero, and D. Meger · 2019
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Learning spatial common sense with geometry-aware recurrent networks
H.-Y. F. Tung, R. Cheng, and K. Fragkiadaki · 2019
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Pixel2mesh++: Multi-view 3d mesh generation via deformation
C. Wen, Y. Zhang, Z. Li, and Y. Fu · 2019
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Disn: Deep implicit surface network for high-quality single-view 3d reconstruction
Q. Xu, W. Wang, D. Ceylan, R. Mech, and U. Neumann · 2019
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View Independent Generative Adversarial Network for Novel View Synthesis
X. Xu, Y.-C. Chen, and J. Jia · 2019
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Pointflow: 3d point cloud generation with continuous normalizing flows
G. Yang, X. Huang, Z. Hao, M.-Y. Liu, S. Belongie, and B. Hariharan · 2019
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Effectiveness of random deep feature selection for securing image manipulation detectors against adversarial examples
M. Barni, E. Nowroozi, B. Tondi, and B. Zhang · 2020
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Dist: Rendering deep implicit signed distance function with differentiable sphere tracing
S. Liu, Y. Zhang, S. Peng, B. Shi, M. Pollefeys, and Z. Cui · 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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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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Synsin: End-to-end view synthesis from a single image
O. Wiles, G. Gkioxari, R. Szeliski, and J. Johnson · 2020
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