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Despite the rapid advance of 3D-aware image synthesis, existing studies usually adopt a mixture of techniques and tricks, leaving it unclear how each part contributes to the final performance in terms of generality.
A neural probabilistic language model
Y. Bengio, R. Ducharme, and P. Vincent · 2000
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Cat head detection-how to effectively exploit shape and texture features
W. Zhang, J. Sun, and X. Tang · 2008
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Imagenet: A large-scale hierarchical image database
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei · 2009
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Generative adversarial nets
I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio · 2014
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Auto-encoding variational bayes
D. P. Kingma and M. Welling · 2014
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Microsoft coco: Common objects in context
T.-Y. Lin, M. Maire, S. Belongie, J. Hays, P. Perona, D. Ramanan, P. Dollár, and C. L. Zitnick · 2014
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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, et al · 2015
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Deep learning face attributes in the wild
Z. Liu, P. Luo, X. Wang, and X. Tang · 2015
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Variational inference with normalizing flows
D. Rezende and S. Mohamed · 2015
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LSUN: Construction of a large-scale image dataset using deep learning with humans in the loop
F. Yu, A. Seff, Y. Zhang, S. Song, T. Funkhouser, and J. Xiao · 2015
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Generative and discriminative voxel modeling with convolutional neural networks
A. Brock, T. Lim, J. M. Ritchie, and N. Weston · 2016
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Learning a probabilistic latent space of object shapes via 3D generative adversarial modeling
J. Wu, C. Zhang, T. Xue, B. Freeman, and J. Tenenbaum · 2016
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CARLA: An open urban driving simulator
A. Dosovitskiy, G. Ros, F. Codevilla, A. Lopez, and V. Koltun · 2017
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3D shape induction from 2D views of multiple objects
M. Gadelha, S. Maji, and R. Wang · 2017
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GANs trained by a two time-scale update rule converge to a local nash equilibrium
M. Heusel, H. Ramsauer, T. Unterthiner, B. Nessler, and S. Hochreiter · 2017
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Progressive growing of GANs for improved quality, stability, and variation
T. Karras, T. Aila, S. Laine, and J. Lehtinen · 2018
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Which training methods for GANs do actually converge?
L. Mescheder, A. Geiger, and S. Nowozin · 2018
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FiLM: Visual reasoning with a general conditioning layer
E. Perez, F. Strub, H. De Vries, V. Dumoulin, and A. Courville · 2018
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Visual object networks: Image generation with disentangled 3D representations
J.-Y. Zhu, Z. Zhang, C. Zhang, J. Wu, A. Torralba, J. Tenenbaum, and B. Freeman · 2018
Cited alongside, same era.
A style-based generator architecture for generative adversarial networks
T. Karras, S. Laine, and T. Aila · 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.
HoloGAN: Unsupervised learning of 3D representations from natural images
T. Nguyen-Phuoc, C. Li, L. Theis, C. Richardt, and Y.-L. Yang · 2019
Cited alongside, same era.
DeepsSDF: Learning continuous signed distance functions for shape representation
J. J. Park, P. Florence, J. Straub, R. Newcombe, and S. Lovegrove · 2019
Cited alongside, same era.
Local deep implicit functions for 3D shape
GIRAFFE: Representing scenes as compositional generative neural feature fields
M. Niemeyer and A. Geiger · 2021
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A shading-guided generative implicit model for shape-accurate 3D-aware image synthesis
X. Pan, X. Xu, C. C. Loy, C. Theobalt, and B. Dai · 2021
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Kilonerf: Speeding up neural radiance fields with thousands of tiny mlps
C. Reiser, S. Peng, Y. Liao, and A. Geiger · 2021
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NeuS: Learning neural implicit surfaces by volume rendering for multi-view reconstruction
P. Wang, L. Liu, Y. Liu, C. Theobalt, T. Komura, and W. Wang · 2021
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Generative occupancy fields for 3D surface-aware image synthesis
X. Xu, X. Pan, D. Lin, and B. Dai · 2021
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Volume rendering of neural implicit surfaces
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K. Genova, F. Cole, A. Sud, A. Sarna, and T. Funkhouser · 2020
Cited alongside, same era.
Denoising diffusion probabilistic models
J. Ho, A. Jain, and P. Abbeel · 2020
Cited alongside, same era.
Analyzing and improving the image quality of StyleGAN
T. Karras, S. Laine, M. Aittala, J. Hellsten, J. Lehtinen, and T. Aila · 2020
Cited alongside, same era.
Learning part generation and assembly for structure-aware shape synthesis
J. Li, C. Niu, and K. Xu · 2020
Cited alongside, same era.
Towards unsupervised learning of generative models for 3D controllable image synthesis
Y. Liao, K. Schwarz, L. M. Mescheder, and A. Geiger · 2020
Cited alongside, same era.
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
Cited alongside, same era.
BlockGAN: Learning 3D object-aware scene representations from unlabelled images
T. Nguyen-Phuoc, C. Richardt, L. Mai, Y.-L. Yang, and N. Mitra · 2020
Cited alongside, same era.
L. Yariv, J. Gu, Y. Kasten, and Y. Lipman · 2021
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Mip-nerf 360: Unbounded anti-aliased neural radiance fields
J. T. Barron, B. Mildenhall, D. Verbin, P. P. Srinivasan, and P. Hedman · 2022
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Generative neural articulated radiance fields
A. W. Bergman, P. Kellnhofer, Y. Wang, E. R. Chan, D. B. Lindell, and G. Wetzstein · 2022
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GRAM: Generative radiance manifolds for 3D-aware image generation
Y. Deng, J. Yang, J. Xiang, and X. Tong · 2022
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GET3D: A generative model of high quality 3D textured shapes learned from images
J. Gao, T. Shen, Z. Wang, W. Chen, K. Yin, D. Li, O. Litany, Z. Gojcic, and S. Fidler · 2022
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StyleSDF: High-resolution 3D-consistent image and geometry generation
R. Or-El, X. Luo, M. Shan, E. Shechtman, J. J. Park, and I. Kemelmacher-Shlizerman · 2022
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VoxGRAF: Fast 3D-aware image synthesis with sparse voxel grids
K. Schwarz, A. Sauer, M. Niemeyer, Y. Liao, and A. Geiger · 2022
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3D-aware indoor scene synthesis with depth priors
Z. Shi, Y. Shen, J. Zhu, D.-Y. Yeung, and Q. Chen · 2022
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EpiGRAF: Rethinking training of 3D GANs
I. Skorokhodov, S. Tulyakov, Y. Wang, and P. Wonka · 2022
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Mega-nerf: Scalable construction of large-scale nerfs for virtual fly-throughs
H. Turki, D. Ramanan, and M. Satyanarayanan · 2022
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Giraffe hd: A high-resolution 3D-aware generative model
Y. Xue, Y. Li, K. K. Singh, and Y. J. Lee · 2022
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Avatargen: a 3D generative model for animatable human avatars
J. Zhang, Z. Jiang, D. Yang, H. Xu, Y. Shi, G. Song, Z. Xu, X. Wang, and J. Feng · 2022
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Generative multiplane images: Making a 2D GAN 3D-aware
X. Zhao, F. Ma, D. Güera, Z. Ren, A. G. Schwing, and A. Colburn · 2022
Later among the works it cites.