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We present 3DHumanGAN, a 3D-aware generative adversarial network that synthesizes photorealistic images of full-body humans with consistent appearances under different view-angles and body-poses.
Human3. 6m: Large scale datasets and predictive methods for 3d human sensing in natural environments
Catalin Ionescu, Dragos Papava, Vlad Olaru, and Cristian Sminchisescu · 2013
Earlier work this paper cites.
Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
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Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman · 2014
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SMPL: A skinned multi-person linear model
Matthew Loper, Naureen Mahmood, Javier Romero, Gerard Pons-Moll, and Michael J. Black · 2015
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U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Perceptual losses for real-time style transfer and super-resolution
Justin Johnson, Alexandre Alahi, and Li Fei-Fei · 2016
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Instance normalization: The missing ingredient for fast stylization
Dmitry Ulyanov, Andrea Vedaldi, and Victor Lempitsky · 2016
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3d shape induction from 2d views of multiple objects
Matheus Gadelha, Subhransu Maji, and Rui Wang · 2017
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Gans trained by a two time-scale update rule converge to a local nash equilibrium
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter · 2017
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Pose guided person image generation
Liqian Ma, Xu Jia, Qianru Sun, Bernt Schiele, Tinne Tuytelaars, and Luc Van Gool · 2017
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Mikołaj Bińkowski, Danica J Sutherland, Michael Arbel, and Arthur Gretton · 2018
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Soft-gated warping-gan for pose-guided person image synthesis
Haoye Dong, Xiaodan Liang, Ke Gong, Hanjiang Lai, Jia Zhu, and Jian Yin · 2018
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VITON: An image-based virtual Try-On network
Xintong Han, Zuxuan Wu, Zhe Wu, Ruichi Yu, and Larry S Davis · 2018
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Disentangled person image generation
Liqian Ma, Qianru Sun, Stamatios Georgoulis, Luc Van Gool, Bernt Schiele, and Mario Fritz · 2018
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Which training methods for gans do actually converge?
Lars Mescheder, Andreas Geiger, and Sebastian Nowozin · 2018
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Spectral normalization for generative adversarial networks
Takeru Miyato, Toshiki Kataoka, Masanori Koyama, and Yuichi Yoshida · 2018
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Densepose: Dense human pose estimation in the wild
Iasonas Kokkinos Riza Alp Güler, Natalia Neverova · 2018
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Visual object networks: Image generation with disentangled 3d representations
Jun-Yan Zhu, Zhoutong Zhang, Chengkai Zhang, Jiajun Wu, Antonio Torralba, Josh Tenenbaum, and Bill Freeman · 2018
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Clothflow: A flow-based model for clothed person generation
Xintong Han, Xiaojun Hu, Weilin Huang, and Matthew R Scott · 2019
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Escaping plato’s cave: 3d shape from adversarial rendering
Philipp Henzler, Niloy J Mitra, and Tobias Ritschel · 2019
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A style-based generator architecture for generative adversarial networks
Tero Karras, Samuli Laine, and Timo Aila · 2019
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Dense intrinsic appearance flow for human pose transfer
Yining Li, Chen Huang, and Chen Change Loy · 2019
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Liquid warping gan: A unified framework for human motion imitation, appearance transfer and novel view synthesis
Wen Liu, Zhixin Piao, Min Jie, Wenhan Luo, Lin Ma, and Shenghua Gao · 2019
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Neural volumes: Learning dynamic renderable volumes from images
Stephen Lombardi, Tomas Simon, Jason Saragih, Gabriel Schwartz, Andreas Lehrmann, and Yaser Sheikh · 2019
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Semantic image synthesis with spatially-adaptive normalization
Taesung Park, Ming-Yu Liu, Ting-Chun Wang, and Jun-Yan Zhu · 2019
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Unsupervised generative 3d shape learning from natural images
Attila Szabó, Givi Meishvili, and Paolo Favaro · 2019
Cited alongside, same era.
Pare: Part attention regressor for 3d human body estimation
Muhammed Kocabas, Chun-Hao P Huang, Otmar Hilliges, and Michael J Black · 2021
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TryOnGAN: Body-aware Try-On via layered interpolation
Kathleen M Lewis, Srivatsan Varadharajan, and Ira Kemelmacher-Shlizerman · 2021
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Leap: Learning articulated occupancy of people
Marko Mihajlovic, Yan Zhang, Michael J Black, and Siyu Tang · 2021
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Giraffe: Representing scenes as compositional generative neural feature fields
Michael Niemeyer and Andreas Geiger · 2021
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Animatable neural radiance fields for human body modeling
Sida Peng, Junting Dong, Qianqian Wang, Shangzhan Zhang, Qing Shuai, Hujun Bao, and Xiaowei Zhou · 2021
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Learning realistic human reposing using cyclic self-supervision with 3d shape, pose, and appearance consistency
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Making convolutional networks shift-invariant again
Richard Zhang · 2019
Cited alongside, same era.
Progressive pose attention transfer for person image generation
Zhen Zhu, Tengteng Huang, Baoguang Shi, Miao Yu, Bofei Wang, and Xiang Bai · 2019
Cited alongside, same era.
Analyzing and improving the image quality of StyleGAN
Tero Karras, Samuli Laine, Miika Aittala, Janne Hellsten, 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.
Neural sparse voxel fields
Lingjie Liu, Jiatao Gu, Kyaw Zaw Lin, Tat-Seng Chua, and Christian Theobalt · 2020
Cited alongside, same era.
Nerf: Representing scenes as neural radiance fields for view synthesis
Ben Mildenhall, Pratul P Srinivasan, Matthew Tancik, Jonathan T Barron, Ravi Ramamoorthi, and Ren Ng · 2020
Cited alongside, same era.
Deep image spatial transformation for person image generation
Yurui Ren, Xiaoming Yu, Junming Chen, Thomas H Li, and Ge Li · 2020
Cited alongside, same era.
Soubhik Sanyal, Alex Vorobiov, Timo Bolkart, Matthew Loper, Betty Mohler, Larry S Davis, Javier Romero, and Michael J Black · 2021
Later among the works it cites.
Style and pose control for image synthesis of humans from a single monocular view
Kripasindhu Sarkar, Vladislav Golyanik, Lingjie Liu, and Christian Theobalt · 2021
Later among the works it cites.
HumanGAN: A generative model of human images
Kripasindhu Sarkar, Lingjie Liu, Vladislav Golyanik, and Christian Theobalt · 2021
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You only need adversarial supervision for semantic image synthesis
Edgar Schönfeld, Vadim Sushko, Dan Zhang, Juergen Gall, Bernt Schiele, and Anna Khoreva · 2021
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Designing an encoder for stylegan image manipulation
Omer Tov, Yuval Alaluf, Yotam Nitzan, Or Patashnik, and Daniel Cohen-Or · 2021
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Humannerf: Generalizable neural human radiance field from sparse inputs
Fuqiang Zhao, Wei Yang, Jiakai Zhang, Pei Lin, Yingliang Zhang, Jingyi Yu, and Lan Xu · 2021
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CIPS-3D: A 3d-aware generator of gans based on conditionally-independent pixel synthesis
Peng Zhou, Lingxi Xie, Bingbing Ni, and Qi Tian · 2021
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Generative neural articulated radiance fields
Alexander W Bergman, Petr Kellnhofer, Yifan Wang, Eric R Chan, David B Lindell, and Gordon Wetzstein · 2022
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Generalizable neural performer: Learning robust radiance fields for human novel view synthesis
Wei Cheng, Su Xu, Jingtan Piao, Chen Qian, Wayne Wu, Kwan-Yee Lin, and Hongsheng Li · 2022
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InsetGAN for full-body image generation
Anna Frühstück, Krishna Kumar Singh, Eli Shechtman, Niloy J Mitra, Peter Wonka, and Jingwan Lu · 2022
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Stylegan-human: A data-centric odyssey of human generation
Jianglin Fu, Shikai Li, Yuming Jiang, Kwan-Yee Lin, Chen Qian, Chen-Change Loy, Wayne Wu, and Ziwei Liu · 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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Eva3d: Compositional 3d human generation from 2d image collections
Fangzhou Hong, Zhaoxi Chen, Yushi Lan, Liang Pan, and Ziwei Liu · 2022
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Text2human: Text-driven controllable human image generation
Yuming Jiang, Shuai Yang, Haonan Qiu, Wayne Wu, Chen Change Loy, and Ziwei Liu · 2022
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Instant neural graphics primitives with a multiresolution hash encoding
Thomas Müller, Alex Evans, Christoph Schied, and Alexander Keller · 2022
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Unsupervised learning of efficient geometry-aware neural articulated representations
Atsuhiro Noguchi, Xiao Sun, Stephen Lin, and Tatsuya Harada · 2022
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On aliased resizing and surprising subtleties in gan evaluation
Gaurav Parmar, Richard Zhang, and Jun-Yan Zhu · 2022
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Avatargen: a 3d generative model for animatable human avatars
Jianfeng Zhang, Zihang Jiang, Dingdong Yang, Hongyi Xu, Yichun Shi, Guoxian Song, Zhongcong Xu, Xinchao Wang, and Jiashi Feng · 2022
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