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3D-aware image synthesis has attracted increasing interest as it models the 3D nature of our real world.
Compositing digital images
Thomas Porter and Tom Duff · 1984
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Generative adversarial networks, 2014
Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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Lsun: Construction of a large-scale image dataset using deep learning with humans in the loop, 2015
Fisher Yu, Ari Seff, Yinda Zhang, Shuran Song, Thomas Funkhouser, and Jianxiong Xiao · 2015
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Attend, infer, repeat: Fast scene understanding with generative models, 2016
S. M. Ali Eslami, Nicolas Heess, Theophane Weber, Yuval Tassa, David Szepesvari, Koray Kavukcuoglu, and Geoffrey E. Hinton · 2016
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Clevr: A diagnostic dataset for compositional language and elementary visual reasoning, 2016
Justin Johnson, Bharath Hariharan, Laurens van der Maaten, Li Fei-Fei, C. Lawrence Zitnick, and Ross Girshick · 2016
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Real-time single image and video super-resolution using an efficient sub-pixel convolutional neural network, 2016
Wenzhe Shi, Jose Caballero, Ferenc Huszár, Johannes Totz, Andrew P. Aitken, Rob Bishop, Daniel Rueckert, and Zehan Wang · 2016
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Progressive growing of gans for improved quality, stability, and variation, 2017
Tero Karras, Timo Aila, Samuli Laine, and Jaakko Lehtinen · 2017
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Decoupled weight decay regularization, 2017
Ilya Loshchilov and Frank Hutter · 2017
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Transformation-grounded image generation network for novel 3d view synthesis, 2017
Eunbyung Park, Jimei Yang, Ersin Yumer, Duygu Ceylan, and Alexander C. Berg · 2017
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Unpaired image-to-image translation using cycle-consistent adversarial networkss
Jun-Yan Zhu, Taesung Park, Phillip Isola, and Alexei A Efros · 2017
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Demystifying mmd gans, 2018
Mikołaj Bińkowski, Danica J. Sutherland, Michael Arbel, and Arthur Gretton · 2018
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Large scale gan training for high fidelity natural image synthesis, 2018
Andrew Brock, Jeff Donahue, and Karen Simonyan · 2018
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Escaping plato’s cave: 3d shape from adversarial rendering, 2018
Philipp Henzler, Niloy Mitra, and Tobias Ritschel · 2018
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A style-based generator architecture for generative adversarial networks, 2018
Tero Karras, Samuli Laine, and Timo Aila · 2018
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Sequential attend, infer, repeat: Generative modelling of moving objects, 2018
Adam R. Kosiorek, Hyunjik Kim, Ingmar Posner, and Yee Whye Teh · 2018
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The unusual effectiveness of averaging in gan training, 2018
Yasin Yazıcı, Chuan-Sheng Foo, Stefan Winkler, Kim-Hui Yap, Georgios Piliouras, and Vijay Chandrasekhar · 2018
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Self-attention generative adversarial networks, 2018
Han Zhang, Ian Goodfellow, Dimitris Metaxas, and Augustus Odena · 2018
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Visual object networks: Image generation with disentangled 3d representation, 2018
Jun-Yan Zhu, Zhoutong Zhang, Chengkai Zhang, Jiajun Wu, Antonio Torralba, Joshua B. Tenenbaum, and William T. Freeman · 2018
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Monet: Unsupervised scene decomposition and representation, 2019
Christopher P. Burgess, Loic Matthey, Nicholas Watters, Rishabh Kabra, Irina Higgins, Matt Botvinick, and Alexander Lerchner · 2019
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Learning implicit fields for generative shape modeling
Zhiqin Chen and Hao Zhang · 2019
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Stargan v2: Diverse image synthesis for multiple domains, 2019
Yunjey Choi, Youngjung Uh, Jaejun Yoo, and Jung-Woo Ha · 2019
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Genesis: Generative scene inference and sampling with object-centric latent representations, 2019
Martin Engelcke, Adam R. Kosiorek, Oiwi Parker Jones, and Ingmar Posner · 2019
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Learning shape templates with structured implicit functions, 2019
Kyle Genova, Forrester Cole, Daniel Vlasic, Aaron Sarna, William T. Freeman, and Thomas Funkhouser · 2019
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Analyzing and improving the image quality of stylegan, 2019
Tero Karras, Samuli Laine, Miika Aittala, Janne Hellsten, Jaakko Lehtinen, and Timo Aila · 2019
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Occupancy networks: Learning 3d reconstruction in function space
Lars Mescheder, Michael Oechsle, Michael Niemeyer, Sebastian Nowozin, and Andreas Geiger · 2019
Cited alongside, same era.
Hologan: Unsupervised learning of 3d representations from natural images, 2019
Thu Nguyen-Phuoc, Chuan Li, Lucas Theis, Christian Richardt, and Yong-Liang Yang · 2019
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Deepsdf: Learning continuous signed distance functions for shape representation
Jeong Joon Park, Peter Florence, Julian Straub, Richard Newcombe, and Steven Lovegrove · 2019
Cited alongside, same era.
Towards robust monocular depth estimation: Mixing datasets for zero-shot cross-dataset transfer, 2019
René Ranftl, Katrin Lasinger, David Hafner, Konrad Schindler, and Vladlen Koltun · 2019
Cited alongside, same era.
Singan: Learning a generative model from a single natural image, 2019
Tamar Rott Shaham, Tali Dekel, and Tomer Michaeli · 2019
Cited alongside, same era.
FreeStyleGAN
Thomas Leimkühler and George Drettakis · 2021
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Giraffe: Representing scenes as compositional generative neural feature fields
Michael Niemeyer and Andreas Geiger · 2021
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A shading-guided generative implicit model for shape-accurate 3d-aware image synthesis
Xingang Pan, Xudong Xu, Chen Change Loy, Christian Theobalt, and Bo Dai · 2021
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On aliased resizing and surprising subtleties in gan evaluation, 2021
Gaurav Parmar, Richard Zhang, and Jun-Yan Zhu · 2021
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Projected gans converge faster
Axel Sauer, Kashyap Chitta, Jens Müller, and Andreas Geiger · 2021
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Generative occupancy fields for 3d surface-aware image synthesis
Xudong Xu, Xingang Pan, Dahua Lin, and Bo Dai · 2021
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Multi-digit mnist for few-shot learning, 2019
Shao-Hua Sun · 2019
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Object-centric image generation with factored depths, locations, and appearances, 2020
Titas Anciukevicius, Christoph H. Lampert, and Paul Henderson · 2020
Cited alongside, same era.
Image generators with conditionally-independent pixel synthesis
Ivan Anokhin, Kirill Demochkin, Taras Khakhulin, Gleb Sterkin, Victor Lempitsky, and Denis Korzhenkov · 2020
Cited alongside, same era.
Deep local shapes: Learning local sdf priors for detailed 3d reconstruction, 2020
Rohan Chabra, Jan Eric Lenssen, Eddy Ilg, Tanner Schmidt, Julian Straub, Steven Lovegrove, and Richard Newcombe · 2020
Cited alongside, same era.
Ganspace: Discovering interpretable gan controls
Erik Härkönen, Aaron Hertzmann, Jaakko Lehtinen, and Sylvain Paris · 2020
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Training generative adversarial networks with limited data
Tero Karras, Miika Aittala, Janne Hellsten, Samuli Laine, Jaakko Lehtinen, and Timo Aila · 2020
Cited alongside, same era.
Towards unsupervised learning of generative models for 3d controllable image synthesis
Yiyi Liao, Katja Schwarz, Lars Mescheder, and Andreas Geiger · 2020
Cited alongside, same era.
Styleswin: Transformer-based gan for high-resolution image generation, 2021
Bowen Zhang, Shuyang Gu, Bo Zhang, Jianmin Bao, Dong Chen, Fang Wen, Yong Wang, and Baining Guo · 2021
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Cips-3d: A 3d-aware generator of gans based on conditionally-independent pixel synthesis, 2021
Peng Zhou, Lingxi Xie, Bingbing Ni, and Qi Tian · 2021
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Efficient geometry-aware 3D generative adversarial networks
Eric R. Chan, Connor Z. Lin, Matthew A. Chan, Koki Nagano, Boxiao Pan, Shalini De Mello, Orazio Gallo, Leonidas Guibas, Jonathan Tremblay, Sameh Khamis, Tero Karras, and Gordon Wetzstein · 2022
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Gram: Generative radiance manifolds for 3d-aware image generation
Yu Deng, Jiaolong Yang, Jianfeng Xiang, and Xin Tong · 2022
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Blobgan: Spatially disentangled scene representations, 2022
Dave Epstein, Taesung Park, Richard Zhang, Eli Shechtman, and Alexei A. Efros · 2022
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Stylenerf: A style-based 3d aware generator for high-resolution image synthesis
Jiatao Gu, Lingjie Liu, Peng Wang, and Christian Theobalt · 2022
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Stylesdf: High-resolution 3d-consistent image and geometry generation
Roy Or-El, Xuan Luo, Mengyi Shan, Eli Shechtman, Jeong Joon Park, and Ira Kemelmacher-Shlizerman · 2022
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Stylegan-xl: Scaling stylegan to large diverse datasets
Axel Sauer, Katja Schwarz, and Andreas Geiger · 2022
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Voxgraf: Fast 3d-aware image synthesis with sparse voxel grids
Katja Schwarz, Axel Sauer, Michael Niemeyer, Yiyi Liao, and Andreas Geiger · 2022
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3d-aware indoor scene synthesis with depth priors
Zifan Shi, Yujun Shen, Jiapeng Zhu, Dit-Yan Yeung, and Qifeng Chen · 2022
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Epigraf: Rethinking training of 3d gans
Ivan Skorokhodov, Sergey Tulyakov, Yiqun Wang, and Peter Wonka · 2022
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Ide-3d: Interactive disentangled editing for high-resolution 3d-aware portrait synthesis, 2022
Jingxiang Sun, Xuan Wang, Yichun Shi, Lizhen Wang, Jue Wang, and Yebin Liu · 2022
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Fenerf: Face editing in neural radiance fields
Jingxiang Sun, Xuan Wang, Yong Zhang, Xiaoyu Li, Qi Zhang, Yebin Liu, and Jue Wang · 2022
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Differentiable signed distance function rendering
Delio Vicini, Sébastien Speierer, and Wenzel Jakob · 2022
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3d-aware image synthesis via learning structural and textural representations
Yinghao Xu, Sida Peng, Ceyuan Yang, Yujun Shen, and Bolei Zhou · 2022
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Giraffe hd: A high-resolution 3d-aware generative model, 2022
Yang Xue, Yuheng Li, Krishna Kumar Singh, and Yong Jae Lee · 2022
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Multi-view consistent generative adversarial networks for 3d-aware image synthesis
Xuanmeng Zhang, Zhedong Zheng, Daiheng Gao, Bang Zhang, Pan Pan, and Yi Yang · 2022
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