Fetching the paper…
Reading the bibliography…
We introduce Pixel-aligned Implicit Function (PIFu), a highly effective implicit representation that locally aligns pixels of 2D images with the global context of their corresponding 3D object.
Marching cubes: A high resolution 3d surface construction algorithm
William E Lorensen and Harvey E Cline · 1987
Earlier work this paper cites.
Generalized implicit functions for computer graphics
Stan Sclaroff and Alex Pentland · 1991
Earlier work this paper cites.
Image-based visual hulls
Wojciech Matusik, Chris Buehler, Ramesh Raskar, Steven J Gortler, and Leonard McMillan · 2000
Earlier work this paper cites.
Precomputed radiance transfer for real-time rendering in dynamic, low-frequency lighting environments
Peter-Pike Sloan, Jan Kautz, and John Snyder · 2002
Earlier work this paper cites.
Human pose estimation from silhouettes. a consistent approach using distance level sets
Cristian Sminchisescu and Alexandru Telea · 2002
Earlier work this paper cites.
Silhouette and stereo fusion for 3d object modeling
Carlos Hernández Esteban and Francis Schmitt · 2004
Earlier work this paper cites.
Grabcut: Interactive foreground extraction using iterated graph cuts
Carsten Rother, Vladimir Kolmogorov, and Andrew Blake · 2004
Earlier work this paper cites.
High-quality video view interpolation using a layered representation
C Lawrence Zitnick, Sing Bing Kang, Matthew Uyttendaele, Simon Winder, and Richard Szeliski · 2004
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.
Scalable 3D video of dynamic scenes
Michael Waschbüsch, Stephan Würmlin, Daniel Cotting, Filip Sadlo, and Markus Gross · 2005
Earlier work this paper cites.
Carved visual hulls for image-based modeling
Yasutaka Furukawa and Jean Ponce · 2006
Earlier work this paper cites.
Detailed human shape and pose from images
Alexandru O Balan, Leonid Sigal, Michael J Black, James E Davis, and Horst W Haussecker · 2007
Earlier work this paper cites.
Surface capture for performance-based animation
Jonathan Starck and Adrian Hilton · 2007
Earlier work this paper cites.
Articulated mesh animation from multi-view silhouettes
Daniel Vlasic, Ilya Baran, Wojciech Matusik, and Jovan Popović · 2008
Earlier work this paper cites.
Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
Earlier work this paper cites.
Motion capture using joint skeleton tracking and surface estimation
Juergen Gall, Carsten Stoll, Edilson De Aguiar, Christian Theobalt, Bodo Rosenhahn, and Hans-Peter Seidel · 2009
Earlier work this paper cites.
Estimating human shape and pose from a single image
Peng Guan, Alexander Weiss, Alexandru O Balan, and Michael J Black · 2009
Earlier work this paper cites.
Dynamic shape capture using multi-view photometric stereo
Daniel Vlasic, Pieter Peers, Ilya Baran, Paul Debevec, Jovan Popović, Szymon Rusinkiewicz, and Wojciech Matusik · 2009
Earlier work this paper cites.
Accurate, dense, and robust multiview stereopsis
Yasutaka Furukawa and Jean Ponce · 2010
Earlier work this paper cites.
Parametric reshaping of human bodies in images
Shizhe Zhou, Hongbo Fu, Ligang Liu, Daniel Cohen-Or, and Xiaoguang Han · 2010
Earlier work this paper cites.
Full body performance capture under uncontrolled and varying illumination: A shading-based approach
Chenglei Wu, Kiran Varanasi, and Christian Theobalt · 2012
Earlier work this paper cites.
Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman · 2014
Earlier work this paper cites.
Joint training of a convolutional network and a graphical model for human pose estimation
Jonathan J Tompson, Arjun Jain, Yann LeCun, and Christoph Bregler · 2014
Earlier work this paper cites.
Embree: a kernel framework for efficient cpu ray tracing
Ingo Wald, Sven Woop, Carsten Benthin, Gregory S Johnson, and Manfred Ernst · 2014
Earlier work this paper cites.
Shapenet: An information-rich 3d model repository
Angel X Chang, Thomas Funkhouser, Leonidas Guibas, Pat Hanrahan, Qixing Huang, Zimo Li, Silvio Savarese, Manolis Savva, Shuran Song, Hao Su, et al · 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
Cited alongside, same era.
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
Cited alongside, same era.
3d-r2n2: A unified approach for single and multi-view 3d object reconstruction
Christopher B Choy, Danfei Xu, JunYoung Gwak, Kevin Chen, and Silvio Savarese · 2016
Cited alongside, same era.
Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
Cited alongside, same era.
Perceptual losses for real-time style transfer and super-resolution
Justin Johnson, Alexandre Alahi, and Li Fei-Fei · 2016
Cited alongside, same era.
Deepfashion: Powering robust clothes recognition and retrieval with rich annotations
Video based reconstruction of 3d people models
Thiemo Alldieck, Marcus A Magnor, Weipeng Xu, Christian Theobalt, and Gerard Pons-Moll · 2018
Later among the works it cites.
Fast winding numbers for soups and clouds
Gavin Barill, Neil Dickson, Ryan Schmidt, David I.W. Levin, and Alec Jacobson · 2018
Later among the works it cites.
Encoder-decoder with atrous separable convolution for semantic image segmentation
Liang-Chieh Chen, Yukun Zhu, George Papandreou, Florian Schroff, and Hartwig Adam · 2018
Later among the works it cites.
Volumetric performance capture from minimal camera viewpoints
Andrew Gilbert, Marco Volino, John Collomosse, and Adrian Hilton · 2018
Later among the works it cites.
Atlasnet: A papier-mâché approach to learning 3d surface generation
Thibault Groueix, Matthew Fisher, Vladimir G Kim, Bryan C Russell, and Mathieu Aubry · 2018
Later among the works it cites.
Densepose: Dense human pose estimation in the wild
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Ziwei Liu, Ping Luo, Shi Qiu, Xiaogang Wang, and Xiaoou Tang · 2016
Cited alongside, same era.
Stacked hourglass networks for human pose estimation
Alejandro Newell, Kaiyu Yang, and Jia Deng · 2016
Cited alongside, same era.
Context encoders: Feature learning by inpainting
Deepak Pathak, Philipp Krähenbühl, Jeff Donahue, Trevor Darrell, and Alexei A. Efros · 2016
Cited alongside, same era.
Convolutional pose machines
Shih-En Wei, Varun Ramakrishna, Takeo Kanade, and Yaser Sheikh · 2016
Cited alongside, same era.
Estimation of human body shape in motion with wide clothing
Jinlong Yang, Jean-Sébastien Franco, Franck Hétroy-Wheeler, and Stefanie Wuhrer · 2016
Cited alongside, same era.
View synthesis by appearance flow
Tinghui Zhou, Shubham Tulsiani, Weilun Sun, Jitendra Malik, and Alexei A Efros · 2016
Cited alongside, same era.
Pixelnet: Representation of the pixels, by the pixels, and for the pixels
Aayush Bansal, Xinlei Chen, Bryan Russell, Abhinav Gupta, and Deva Ramanan · 2017
Cited alongside, same era.
Rıza Alp Güler, Natalia Neverova, and Iasonas Kokkinos · 2018
Later among the works it cites.
Learning local shape descriptors from part correspondences with multiview convolutional networks
Haibin Huang, Evangelos Kalogerakis, Siddhartha Chaudhuri, Duygu Ceylan, Vladimir G Kim, and Ersin Yumer · 2018
Later among the works it cites.
Deep volumetric video from very sparse multi-view performance capture
Zeng Huang, Tianye Li, Weikai Chen, Yajie Zhao, Jun Xing, Chloe LeGendre, Linjie Luo, Chongyang Ma, and Hao Li · 2018
Later among the works it cites.
3D Human Body Reconstruction from a Single Image via Volumetric Regression
Aaron S Jackson, Chris Manafas, and Georgios Tzimiropoulos · 2018
Later among the works it cites.
End-to-end recovery of human shape and pose
Angjoo Kanazawa, Michael J. Black, David W. Jacobs, and Jitendra Malik · 2018
Later among the works it cites.
Learning category-specific mesh reconstruction from image collections
Angjoo Kanazawa, Shubham Tulsiani, Alexei A. Efros, and Jitendra Malik · 2018
Later among the works it cites.
Occupancy networks: Learning 3d reconstruction in function space
Lars Mescheder, Michael Oechsle, Michael Niemeyer, Sebastian Nowozin, and Andreas Geiger · 2018
Later among the works it cites.
Dense pose transfer
Natalia Neverova, Riza Alp Guler, and Iasonas Kokkinos · 2018
Later among the works it cites.
Neural body fitting: Unifying deep learning and model-based human pose and shape estimation
Mohamed Omran, Christoph Lassner, Gerard Pons-Moll, Peter V. Gehler, and Bernt Schiele · 2018
Later among the works it cites.
Learning to estimate 3D human pose and shape from a single color image
Georgios Pavlakos, Luyang Zhu, Xiaowei Zhou, and Kostas Daniilidis · 2018
Later among the works it cites.
https://renderpeople.com/3d-people
Renderpeople, 2018 · 2018
Later among the works it cites.
Multi-view to novel view: Synthesizing novel views with self-learned confidence
Shao-Hua Sun, Minyoung Huh, Yuan-Hong Liao, Ning Zhang, and Joseph J Lim · 2018
Later among the works it cites.
BodyNet: Volumetric inference of 3D human body shapes
Gül Varol, Duygu Ceylan, Bryan Russell, Jimei Yang, Ersin Yumer, Ivan Laptev, and Cordelia Schmid · 2018
Later among the works it cites.
Photo wake-up: 3d character animation from a single photo
Chung-Yi Weng, Brian Curless, and Ira Kemelmacher-Shlizerman · 2018
Later among the works it cites.
Group normalization
Yuxin Wu and Kaiming He · 2018
Later among the works it cites.
Learning to reconstruct people in clothing from a single RGB camera
Thiemo Alldieck, Marcus Magnor, Bharat Lal Bhatnagar, Christian Theobalt, and Gerard Pons-Moll · 2019
Closest in time.
Learning implicit fields for generative shape modeling
Zhiqin Chen and Hao Zhang · 2019
Closest in time.
Siclope: Silhouette-based clothed people
Ryota Natsume, Shunsuke Saito, Zeng Huang, Weikai Chen, Chongyang Ma, Hao Li, and Shigeo Morishima · 2019
Closest in time.
Deepsdf: Learning continuous signed distance functions for shape representation
Jeong Joon Park, Peter Florence, Julian Straub, Richard Newcombe, and Steven Lovegrove · 2019
Closest in time.
Disn: Deep implicit surface network for high-quality single-view 3d reconstruction
Weiyue Wang, Xu Qiangeng, Duygu Ceylan, Radomir Mech, and Ulrich Neumann · 2019
Closest in time.