Fetching the paper…
Reading the bibliography…
Fast generation of high-quality 3D digital humans is important to a vast number of applications ranging from entertainment to professional concerns.
Acquiring the reflectance field of a human face
Paul Debevec, Tim Hawkins, Chris Tchou, Haarm-Pieter Duiker, Westley Sarokin, and Mark Sagar · 2000
Earlier work this paper cites.
SCAPE: Shape completion and animation of people
Dragomir Anguelov, Praveen Srinivasan, Daphne Koller, Sebastian Thrun, Jim Rodgers, and James Davis · 2005
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
Earlier work this paper cites.
High-quality streamable free-viewpoint video
Alvaro Collet, Ming Chuang, Pat Sweeney, Don Gillett, Dennis Evseev, David Calabrese, Hugues Hoppe, Adam Kirk, and Steve Sullivan · 2015
Earlier work this paper cites.
Deeply-supervised nets
Chen-Yu Lee, Saining Xie, Patrick Gallagher, Zhengyou Zhang, and Zhuowen Tu · 2015
Earlier work this paper cites.
SMPL: A skinned multi-person linear model
Matthew Loper, Naureen Mahmood, Javier Romero, Gerard Pons-Moll, and Michael J Black · 2015
Earlier work this paper cites.
Dyna: A model of dynamic human shape in motion
Gerard Pons-Moll, Javier Romero, Naureen Mahmood, and Michael J Black · 2015
Earlier work this paper cites.
Keep it SMPL: Automatic estimation of 3D human pose and shape from a single image
Federica Bogo, Angjoo Kanazawa, Christoph Lassner, Peter Gehler, Javier Romero, and Michael J Black · 2016
Earlier work this paper cites.
Fusion4d: Real-time performance capture of challenging scenes
Mingsong Dou, Sameh Khamis, Yury Degtyarev, Philip Davidson, Sean Ryan Fanello, Adarsh Kowdle, Sergio Orts Escolano, Christoph Rhemann, David Kim, Jonathan Taylor, Pushmeet Kohli, Vladimir Tankovich, and Shahram Izadi · 2016
Earlier work this paper cites.
Perceptual losses for real-time style transfer and super-resolution
Justin Johnson, Alexandre Alahi, and Li Fei-Fei · 2016
Earlier work this paper cites.
Stacked hourglass networks for human pose estimation
Alejandro Newell, Kaiyu Yang, and Jia Deng · 2016
Earlier work this paper cites.
Learning a probabilistic latent space of object shapes via 3D generative-adversarial modeling
Jiajun Wu, Chengkai Zhang, Tianfan Xue, Bill Freeman, and Josh Tenenbaum · 2016
Earlier work this paper cites.
A generative model for people in clothing
Christoph Lassner, Gerard Pons-Moll, and Peter V. Gehler · 2017
Earlier work this paper cites.
Pose guided person image generation
Liqian Ma, Xu Jia, Qianru Sun, Bernt Schiele, Tinne Tuytelaars, and Luc Van Gool · 2017
Earlier work this paper cites.
Neural face editing with intrinsic image disentangling
Zhixin Shu, Ersin Yumer, Sunil Hadap, Kalyan Sunkavalli, Eli Shechtman, and Dimitris Samaras · 2017
Earlier work this paper cites.
Learning representations and generative models for 3D point clouds
Panos Achlioptas, Olga Diamanti, Ioannis Mitliagkas, and Leonidas Guibas · 2018
Earlier work this paper cites.
Video based reconstruction of 3d people models
Thiemo Alldieck, Marcus A. Magnor, Weipeng Xu, Christian Theobalt, and Gerard Pons-Moll · 2018
Earlier work this paper cites.
Total capture: A 3D deformation model for tracking faces, hands, and bodies
Hanbyul Joo, Tomas Simon, and Yaser Sheikh · 2018
Earlier work this paper cites.
End-to-end recovery of human shape and pose
Angjoo Kanazawa, Michael J. Black, David W. Jacobs, and Jitendra Malik · 2018
Earlier work this paper cites.
Which training methods for gans do actually converge?
Lars Mescheder, Andreas Geiger, and Sebastian Nowozin · 2018
Earlier work this paper cites.
Neural body fitting: Unifying deep learning and model based human pose and shape estimation
Mohamed Omran, Christoph Lassner, Gerard Pons-Moll, Peter Gehler, and Bernt Schiele · 2018
Cited alongside, same era.
Learning implicit fields for generative shape modeling
Zhiqin Chen and Hao Zhang · 2019
Cited alongside, same era.
3d point cloud generative adversarial network based on tree structured graph convolutions
Junseok Kwon Dong Wook Shu, Sung Woo Park · 2019
Cited alongside, same era.
A style-based generator architecture for generative adversarial networks
Tero Karras, Samuli Laine, and Timo Aila · 2019
Cited alongside, same era.
Occupancy networks: Learning 3D reconstruction in function space
Lars Mescheder, Michael Oechsle, Michael Niemeyer, Sebastian Nowozin, and Andreas Geiger · 2019
Cited alongside, same era.
StructureNet: Hierarchical graph networks for 3D shape generation
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
Later among the works it cites.
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
Later among the works it cites.
The power of points for modeling humans in clothing
Qianli Ma, Jinlong Yang, Siyu Tang, and Michael J. Black · 2021
Later among the works it cites.
Neural articulated radiance field
Atsuhiro Noguchi, Xiao Sun, Stephen Lin, and Tatsuya Harada · 2021
Later among the works it cites.
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
Later among the works it cites.
Pivotal tuning for latent-based editing of real images
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Kaichun Mo, Paul Guerrero, Li Yi, Hao Su, Peter Wonka, Niloy Mitra, and Leonidas J Guibas · 2019
Cited alongside, same era.
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.
Expressive body capture: 3D hands, face, and body from a single image
Georgios Pavlakos, Vasileios Choutas, Nima Ghorbani, Timo Bolkart, Ahmed AA Osman, Dimitrios Tzionas, and Michael J Black · 2019
Cited alongside, same era.
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
Cited alongside, same era.
Disn: Deep implicit surface network for high-quality single-view 3D reconstruction
Qiangeng Xu, Weiyue Wang, Duygu Ceylan, Radomir Mech, and Ulrich Neumann · 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.
Dist: Rendering deep implicit signed distance function with differentiable sphere tracing
Shaohui Liu, Yinda Zhang, Songyou Peng, Boxin Shi, Marc Pollefeys, and Zhaopeng Cui · 2020
Cited alongside, same era.
Daniel Roich, Ron Mokady, Amit H Bermano, and Daniel Cohen-Or · 2021
Later among the works it cites.
Humangan: A generative model of humans images, 2021
Kripasindhu Sarkar, Lingjie Liu, Vladislav Golyanik, and Christian Theobalt · 2021
Later among the works it cites.
Deep marching tetrahedra: a hybrid representation for high-resolution 3d shape synthesis
Tianchang Shen, Jun Gao, Kangxue Yin, Ming-Yu Liu, and Sanja Fidler · 2021
Later among the works it cites.
A-nerf: Surface-free human 3D pose refinement via neural rendering
Shih-Yang Su, Frank Yu, Michael Zollhoefer, and Helge Rhodin · 2021
Later among the works it cites.
Point-based modeling of human clothing
Ilya Zakharkin, Kirill Mazur, Artur Grigorev, and Victor Lempitsky · 2021
Later among the works it cites.
3D shape generation and completion through point-voxel diffusion
Linqi Zhou, Yilun Du, and Jiajun Wu · 2021
Later among the works it cites.
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
Later among the works it cites.
InsetGAN for full-body image generation
Anna Frühstück, Krishna Kumar Singh, Eli Shechtman, Niloy J. Mitra, Peter Wonka, and Jingwan Lu · 2022
Later among the works it cites.
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
Later among the works it cites.
GET3D: A generative model of high quality 3D textured shapes learned from images
Jun Gao, Tianchang Shen, Zian Wang, Wenzheng Chen, Kangxue Yin, Daiqing Li, Or Litany, Zan Gojcic, and Sanja Fidler · 2022
Later among the works it cites.
EVA3D: Compositional 3D human generation from 2d image collections
Fangzhou Hong, Zhaoxi Chen, Yushi Lan, Liang Pan, and Ziwei Liu · 2022
Later among the works it cites.
HumanGen: Generating human radiance fields with explicit priors
Suyi Jiang, Haoran Jiang, Ziyu Wang, Haimin Luo, Wenzheng Chen, and Lan Xu · 2022
Later among the works it cites.
Text2Human: Text-driven controllable human image generation
Yuming Jiang, Shuai Yang, Haonan Qiu, Wayne Wu, Chen Change Loy, and Ziwei Liu · 2022
Later among the works it cites.
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
Later among the works it cites.
Sdf-stylegan: Implicit sdf-based stylegan for 3D shape generation
Xin-Yang Zheng, Yang Liu, Peng-Shuai Wang, and Xin Tong · 2022
Later among the works it cites.