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To make 3D human avatars widely available, we must be able to generate a variety of 3D virtual humans with varied identities and shapes in arbitrary poses.
A class of methods for solving nonlinear simultaneous equations
Charles G Broyden · 1965
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Simulation of wrinkled surfaces
James F Blinn · 1978
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SCAPE: shape completion and animation of people
Dragomir Anguelov, Praveen Srinivasan, Daphne Koller, Sebastian Thrun, Jim Rodgers, and James Davis · 2005
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Generative adversarial nets
Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron C. Courville, and Yoshua Bengio · 2014
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Auto-encoding variational bayes
Diederik P Kingma and Max Welling · 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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Learning a probabilistic latent space of object shapes via 3D generative-adversarial modeling
Jiajun Wu, Chengkai Zhang, Tianfan Xue, William T Freeman, and Joshua B Tenenbaum · 2016
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Arbitrary style transfer in real-time with adaptive instance normalization
Xun Huang and Serge Belongie · 2017
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A generative model for people in clothing
Christoph Lassner, Gerard Pons-Moll, and Peter V. Gehler · 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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Learning representations and generative models for 3D point clouds
Panos Achlioptas, Olga Diamanti, Ioannis Mitliagkas, and Leonidas Guibas · 2018
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Video based reconstruction of 3D people models
Thiemo Alldieck, Marcus Magnor, Weipeng Xu, Christian Theobalt, and Gerard Pons-Moll · 2018
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Total Capture: A 3D deformation model for tracking faces, hands, and bodies
Hanbyul Joo, Tomas Simon, and Yaser Sheikh · 2018
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DeepWrinkles: Accurate and realistic clothing modeling
Z. Lähner, D. Cremers, and T. Tung · 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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Unpaired pose guided human image generation
Xu Chen, Jie Song, and Otmar Hilliges · 2019
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Learning implicit fields for generative shape modeling
Zhiqin Chen and Hao Zhang · 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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AMASS: Archive of motion capture as surface shapes
Naureen Mahmood, Nima Ghorbani, Nikolaus F. Troje, Gerard Pons-Moll, and Michael J. Black · 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
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HoloGAN: Unsupervised learning of 3D representations from natural images
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
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PIFu: Pixel-aligned implicit function for high-resolution clothed human digitization
Shunsuke Saito, Zeng Huang, Ryota Natsume, Shigeo Morishima, Angjoo Kanazawa, and Hao Li · 2019
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Category level object pose estimation via neural analysis-by-synthesis
Xu Chen, Zijian Dong, Jie Song, Andreas Geiger, and Otmar Hilliges · 2020
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Neural articulated shape approximation
Boyang Deng, JP Lewis, Timothy Jeruzalski, Gerard Pons-Moll, Geoffrey Hinton, Mohammad Norouzi, and Andrea Tagliasacchi · 2020
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Geo-PIFu: Geometry and pixel aligned implicit functions for single-view human reconstruction
Tong He, John Collomosse, Hailin Jin, and Stefano Soatto · 2020
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Analyzing and improving the image quality of StyleGAN
Tero Karras, Samuli Laine, Miika Aittala, Janne Hellsten, Jaakko Lehtinen, and Timo Aila · 2020
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Monocular real-time volumetric performance capture
4DComplete: Non-rigid motion estimation beyond the observable surface
Yang Li, Hikari Takehara, Takafumi Taketomi, Bo Zheng, and Matthias Nießner · 2021
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Neural Actor: Neural free-view synthesis of human actors with pose control
Lingjie Liu, Marc Habermann, Viktor Rudnev, Kripasindhu Sarkar, Jiatao Gu, and Christian Theobalt · 2021
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SCALE: Modeling clothed humans with a surface codec of articulated local elements
Qianli Ma, Shunsuke Saito, Jinlong Yang, Siyu Tang, and Michael J. Black · 2021
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The power of points for modeling humans in clothing
Qianli Ma, Jinlong Yang, Siyu Tang, and Michael J Black · 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
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Ruilong Li, Yuliang Xiu, Shunsuke Saito, Zeng Huang, Kyle Olszewski, and Hao Li · 2020
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Learning to dress 3D people in generative clothing
Qianli Ma, Jinlong Yang, Anurag Ranjan, Sergi Pujades, Gerard Pons-Moll, Siyu Tang, and Michael J. Black · 2020
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Differentiable volumetric rendering: Learning implicit 3D representations without 3D supervision
Michael Niemeyer, Lars Mescheder, Michael Oechsle, and Andreas Geiger · 2020
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STAR: Sparse trained articulated human body regressor
Ahmed A. A. Osman, Timo Bolkart, and Michael J. Black · 2020
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PIFuHD: Multi-level pixel-aligned implicit function for high-resolution 3D human digitization
Shunsuke Saito, Tomas Simon, Jason Saragih, and Hanbyul Joo · 2020
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GRAF: Generative radiance fields for 3D-aware image synthesis
Katja Schwarz, Yiyi Liao, Michael Niemeyer, and Andreas Geiger · 2020
Cited alongside, same era.
SIZER: A dataset and model for parsing 3D clothing and learning size sensitive 3D clothing
Garvita Tiwari, Bharat Lal Bhatnagar, Tony Tung, and Gerard Pons-Moll · 2020
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Michael Niemeyer and Andreas Geiger · 2021
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Neural articulated radiance field
Atsuhiro Noguchi, Xiao Sun, Stephen Lin, and Tatsuya Harada · 2021
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Neural parametric models for 3D deformable shapes
Pablo Palafox, Aljaž Božič, Justus Thies, Matthias Nießner, and Angela Dai · 2021
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Animatable neural radiance fields for modeling dynamic human bodies
Sida Peng, Junting Dong, Qianqian Wang, Shangzhan Zhang, Qing Shuai, Xiaowei Zhou, and Hujun Bao · 2021
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SCANimate: Weakly supervised learning of skinned clothed avatar networks
Shunsuke Saito, Jinlong Yang, Qianli Ma, and Michael J. Black · 2021
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HumanGAN: A generative model of humans images
Kripasindhu Sarkar, Lingjie Liu, Vladislav Golyanik, and Christian Theobalt · 2021
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A-NeRF: Surface-free human 3D pose refinement via neural rendering
Shih-Yang Su, Frank Yu, Michael Zollhoefer, and Helge Rhodin · 2021
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Neural-GIF: Neural generalized implicit functions for animating people in clothing
Garvita Tiwari, Nikolaos Sarafianos, Tony Tung, and Gerard Pons-Moll · 2021
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MetaAvatar: Learning animatable clothed human models from few depth images
Shaofei Wang, Marko Mihajlovic, Qianli Ma, Andreas Geiger, and Siyu Tang · 2021
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H-NeRF: Neural radiance fields for rendering and temporal reconstruction of humans in motion
Hongyi Xu, Thiemo Alldieck, and Cristian Sminchisescu · 2021
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Point-based modeling of human clothing
Ilya Zakharkin, Kirill Mazur, Artur Grigorev, and Victor Lempitsky · 2021
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PaMIR: Parametric model-conditioned implicit representation for image-based human reconstruction
Zerong Zheng, Tao Yu, Yebin Liu, and Qionghai Dai · 2021
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PINA: Learning a personalized implicit neural avatar from a single RGB-D video sequence
Zijian Dong, Chen Guo, Jie Song, Xu Chen, Andreas Geiger, and Otmar Hilliges · 2022
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DoubleField: Bridging the neural surface and radiance fields for high-fidelity human rendering
Ruizhi Shao, Hongwen Zhang, He Zhang, Yanpei Cao, Tao Yu, and Yebin Liu · 2022
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ICON: Implicit Clothed humans Obtained from Normals
Yuliang Xiu, Jinlong Yang, Dimitrios Tzionas, and Michael J Black · 2022
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IMAvatar: Implicit morphable head avatars from videos
Yufeng Zheng, Victoria Fernández Abrevaya, Xu Chen, Marcel C Bühler, Michael J Black, and Otmar Hilliges · 2022
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