Fetching the paper…
Reading the bibliography…
We present Neural Articulated Radiance Field (NARF), a novel deformable 3D representation for articulated objects learned from images.
Ray tracing volume densities
James T Kajiya and Brian P Von Herzen · 1984
Earlier work this paper cites.
Theoretical kinematics
Oene Bottema and Bernard Roth · 1990
Earlier work this paper cites.
Modeling and rendering architecture from photographs: A hybrid geometry-and image-based approach
Paul E Debevec, Camillo J Taylor, and Jitendra Malik · 1996
Earlier work this paper cites.
Pose space deformation: a unified approach to shape interpolation and skeleton-driven deformation
John P Lewis, Matt Cordner, and Nickson Fong · 2000
Earlier work this paper cites.
Image quality assessment: from error visibility to structural similarity
Zhou Wang, Alan C Bovik, Hamid R Sheikh, and Eero P Simoncelli · 2004
Earlier work this paper cites.
Skinning mesh animations
Doug L James and Christopher D Twigg · 2005
Earlier work this paper cites.
OpenGL shading language
Randi J Rost, Bill Licea-Kane, Dan Ginsburg, John Kessenich, Barthold Lichtenbelt, Hugh Malan, and Mike Weiblen · 2009
Earlier work this paper cites.
Smooth skinning decomposition with rigid bones
Binh Huy Le and Zhigang Deng · 2012
Earlier work this paper cites.
Approximate bayesian image interpretation using generative probabilistic graphics programs
Vikash K Mansinghka, Tejas D Kulkarni, Yura N Perov, and Joshua B Tenenbaum · 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
Earlier work this paper cites.
Skinning: Real-time shape deformation
Alec Jacobson, Zhigang Deng, Ladislav Kavan, and JP Lewis · 2014
Earlier work this paper cites.
Auto-encoding variational bayes
Diederik P Kingma and Max Welling · 2014
Earlier work this paper cites.
Inverse graphics with probabilistic cad models
Tejas D Kulkarni, Vikash K Mansinghka, Pushmeet Kohli, and Joshua B Tenenbaum · 2014
Earlier work this paper cites.
Learning to generate chairs with convolutional neural networks
Alexey Dosovitskiy, Jost Tobias Springenberg, and Thomas Brox · 2015
Earlier work this paper cites.
Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2015
Earlier work this paper cites.
Picture: A probabilistic programming language for scene perception
Tejas D Kulkarni, Pushmeet Kohli, Joshua B Tenenbaum, and Vikash Mansinghka · 2015
Earlier work this paper cites.
Deep convolutional inverse graphics network
Tejas D Kulkarni, Will Whitney, Pushmeet Kohli, and Joshua B Tenenbaum · 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.
Multi-view 3d models from single images with a convolutional network
Maxim Tatarchenko, Alexey Dosovitskiy, and Thomas Brox · 2016
Earlier work this paper cites.
Single image 3d interpreter network
Jiajun Wu, Tianfan Xue, Joseph J Lim, Yuandong Tian, Joshua B Tenenbaum, Antonio Torralba, and William T Freeman · 2016
Earlier work this paper cites.
Perspective transformer nets: Learning single-view 3d object reconstruction without 3d supervision
Xinchen Yan, Jimei Yang, Ersin Yumer, Yijie Guo, and Honglak Lee · 2016
Earlier work this paper cites.
View synthesis by appearance flow
Tinghui Zhou, Shubham Tulsiani, Weilun Sun, Jitendra Malik, and Alexei A Efros · 2016
Earlier work this paper cites.
Deep kinematic pose regression
Xingyi Zhou, Xiao Sun, Wei Zhang, Shuang Liang, and Yichen Wei · 2016
Earlier work this paper cites.
Se3-nets: Learning rigid body motion using deep neural networks
Arunkumar Byravan and Dieter Fox · 2017
Earlier work this paper cites.
Panoptic studio: A massively multiview system for social interaction capture
Hanbyul Joo, Tomas Simon, Xulong Li, Hao Liu, Lei Tan, Lin Gui, Sean Banerjee, Timothy Scott Godisart, Bart Nabbe, Iain Matthews, Takeo Kanade, Shohei Nobuhara, and Yaser Sheikh · 2017
Earlier work this paper cites.
Learning a multi-view stereo machine
Abhishek Kar, Christian Häne, and Jitendra Malik · 2017
Cited alongside, same era.
A generative model of people in clothing
Christoph Lassner, Gerard Pons-Moll, and Peter V Gehler · 2017
Cited alongside, same era.
Pose guided person image generation
Liqian Ma, Xu Jia, Qianru Sun, Bernt Schiele, Tinne Tuytelaars, and Luc Van Gool · 2017
Cited alongside, same era.
Soft 3d reconstruction for view synthesis
Eric Penner and Li Zhang · 2017
Cited alongside, same era.
Multi-view supervision for single-view reconstruction via differentiable ray consistency
Shubham Tulsiani, Tinghui Zhou, Alexei A Efros, and Jitendra Malik · 2017
Cited alongside, same era.
Learning from synthetic humans
Gül Varol, Javier Romero, Xavier Martin, Naureen Mahmood, Michael J. Black, Ivan Laptev, and Cordelia Schmid · 2017
Cited alongside, same era.
Local light field fusion: Practical view synthesis with prescriptive sampling guidelines
Ben Mildenhall, Pratul P Srinivasan, Rodrigo Ortiz-Cayon, Nima Khademi Kalantari, Ravi Ramamoorthi, Ren Ng, and Abhishek Kar · 2019
Later among the works it cites.
Texture fields: Learning texture representations in function space
Michael Oechsle, Lars Mescheder, Michael Niemeyer, Thilo Strauss, and Andreas Geiger · 2019
Later among the works it cites.
Deepsdf: Learning continuous signed distance functions for shape representation
Jeong Joon Park, Peter Florence, Julian Straub, Richard Newcombe, and Steven Lovegrove · 2019
Later among the works it cites.
Deepsdf: Learning continuous signed distance functions for shape representation
Jeong Joon Park, Peter Florence, Julian Straub, Richard Newcombe, and Steven Lovegrove · 2019
Later among the works it cites.
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
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Learning to generate long-term future via hierarchical prediction
Ruben Villegas, Jimei Yang, Yuliang Zou, Sungryull Sohn, Xunyu Lin, and Honglak Lee · 2017
Cited alongside, same era.
Neural scene de-rendering
Jiajun Wu, Joshua B Tenenbaum, and Pushmeet Kohli · 2017
Cited alongside, same era.
3D menagerie: Modeling the 3D shape and pose of animals
Silvia Zuffi, Angjoo Kanazawa, David Jacobs, and Michael J. Black · 2017
Cited alongside, same era.
Synthesizing images of humans in unseen poses
Guha Balakrishnan, Amy Zhao, Adrian V Dalca, Fredo Durand, and John Guttag · 2018
Cited alongside, same era.
A variational u-net for conditional appearance and shape generation
Patrick Esser, Ekaterina Sutter, and Björn Ommer · 2018
Cited alongside, same era.
Single-image tomography: 3d volumes from 2d cranial x-rays
Phlipp Henzler, Volker Rasche, Timo Ropinski, and Tobias Ritschel · 2018
Cited alongside, same era.
Scene representation networks: Continuous 3d-structure-aware neural scene representations
Vincent Sitzmann, Michael Zollh ö fer, and Gordon Wetzstein · 2019
Later among the works it cites.
Pushing the boundaries of view extrapolation with multiplane images
Pratul P Srinivasan, Richard Tucker, Jonathan T Barron, Ravi Ramamoorthi, Ren Ng, and Noah Snavely · 2019
Later among the works it cites.
Deephuman: 3d human reconstruction from a single image
Zerong Zheng, Tao Yu, Yixuan Wei, Qionghai Dai, and Yebin Liu · 2019
Later among the works it cites.
Nasa: Neural articulated shape approximation
Boyang Deng, JP Lewis, Timothy Jeruzalski, Gerard Pons-Moll, Geoffrey Hinton, Mohammad Norouzi, and Andrea Tagliasacchi · 2020
Later among the works it cites.
Local deep implicit functions for 3d shape
Kyle Genova, Forrester Cole, Avneesh Sud, Aaron Sarna, and Thomas Funkhouser · 2020
Later among the works it cites.
Local deep implicit functions for 3d shape
Kyle Genova, Forrester Cole, Avneesh Sud, Aaron Sarna, and Thomas Funkhouser · 2020
Later among the works it cites.
Local implicit grid representations for 3d scenes
Chiyu Jiang, Avneesh Sud, Ameesh Makadia, Jingwei Huang, Matthias Nießner, Thomas Funkhouser, et al · 2020
Later among the works it cites.
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
Later among the works it cites.
STAR: A sparse trained articulated human body regressor
Ahmed A A Osman, Timo Bolkart, and Michael J. Black · 2020
Later among the works it cites.
Pifuhd: Multi-level pixel-aligned implicit function for high-resolution 3d human digitization
Shunsuke Saito, Tomas Simon, Jason Saragih, and Hanbyul Joo · 2020
Later among the works it cites.
Graf: Generative radiance fields for 3d-aware image synthesis
Katja Schwarz, Yiyi Liao, Michael Niemeyer, and Andreas Geiger · 2020
Later among the works it cites.
Implicit neural representations with periodic activation functions
Vincent Sitzmann, Julien Martel, Alexander Bergman, David Lindell, and Gordon Wetzstein · 2020
Later among the works it cites.
Srnet: Improving generalization in 3d human pose estimation with a split-and-recombine approach
Ailing Zeng, Xiao Sun, Fuyang Huang, Minhao Liu, Qiang Xu, and Stephen Lin · 2020
Later among the works it cites.
pi-gan: Periodic implicit generative adversarial networks for 3d-aware image synthesis
Eric Chan, Marco Monteiro, Petr Kellnhofer, Jiajun Wu, and Gordon Wetzstein · 2021
Closest in time.
Neural scene flow fields for space-time view synthesis of dynamic scenes
Zhengqi Li, Simon Niklaus, Noah Snavely, and Oliver Wang · 2021
Closest in time.
Nerfies: Deformable neural radiance fields
Keunhong Park, Utkarsh Sinha, Jonathan T Barron, Sofien Bouaziz, Dan B Goldman, Steven M Seitz, and Ricardo-Martin Brualla · 2021
Closest in time.
Neural body: Implicit neural representations with structured latent codes for novel view synthesis of dynamic humans
Sida Peng, Yuanqing Zhang, Yinghao Xu, Qianqian Wang, Qing Shuai, Hujun Bao, and Xiaowei Zhou · 2021
Closest in time.
D-nerf: Neural radiance fields for dynamic scenes
Albert Pumarola, Enric Corona, Gerard Pons-Moll, and Francesc Moreno-Noguer · 2021
Closest in time.
Star: Self-supervised tracking and reconstruction of rigid objects in motion with neural rendering
Wentao Yuan, Zhaoyang Lv, Tanner Schmidt, and Steven Lovegrove · 2021
Closest in time.