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High-fidelity human 3D models can now be learned directly from videos, typically by combining a template-based surface model with neural representations.
Pose space deformation: a unified approach to shape interpolation and skeleton-driven deformation
John P Lewis, Matt Cordner, and Nickson Fong · 2000
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Image quality assessment: from error visibility to structural similarity
Zhou Wang, Alan C Bovik, Hamid R Sheikh, and Eero P Simoncelli · 2004
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Latent Structured Models for Human Pose Estimation
C. Ionescu, F. Li, and C. Sminchisescu · 2011
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Human3.6M: Large Scale Datasets and Predictive Methods for 3D Human Sensing in Natural Environments
C. Ionescu, I. Papava, V. Olaru, and C. Sminchisescu · 2014
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Hypernetworks
David Ha, Andrew M. Dai, and Quoc V. Le · 2017
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Learning from synthetic humans
Gül Varol, Javier Romero, Xavier Martin, Naureen Mahmood, Michael J. Black, Ivan Laptev, and Cordelia Schmid · 2017
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Demystifying mmd gans
Mikołaj Bińkowski, Danica J Sutherland, Michael Arbel, and Arthur Gretton · 2018
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Film: Visual reasoning with a general conditioning layer
Ethan Perez, Florian Strub, Harm de Vries, Vincent Dumoulin, and Aaron C. Courville · 2018
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Monoperfcap: Human Performance Capture from Monocular Video
W. Xu, A. Chatterjee, M. Zollhöfer, H. Rhodin, D. Mehta, H.-P. Seidel, and C. Theobalt · 2018
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The unreasonable effectiveness of deep features as a perceptual metric
Richard Zhang, Phillip Isola, Alexei A Efros, Eli Shechtman, and Oliver Wang · 2018
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Learning to reconstruct 3d human pose and shape via model-fitting in the loop
Nikos Kolotouros, Georgios Pavlakos, Michael J Black, and Kostas Daniilidis · 2019
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Neural rerendering in the wild
Moustafa Meshry, Dan B Goldman, Sameh Khamis, Hugues Hoppe, Rohit Pandey, Noah Snavely, and Ricardo Martin-Brualla · 2019
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Deferred neural rendering: Image synthesis using neural textures
Justus Thies, Michael Zollhöfer, and Matthias Nießner · 2019
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Neural point-based graphics
Kara-Ali Aliev, Artem Sevastopolsky, Maria Kolos, Dmitry Ulyanov, and Victor Lempitsky · 2020
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Nasa neural articulated shape approximation
Boyang Deng, John P Lewis, Timothy Jeruzalski, Gerard Pons-Moll, Geoffrey Hinton, Mohammad Norouzi, and Andrea Tagliasacchi · 2020
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Implicit geometric regularization for learning shapes
Amos Gropp, Lior Yariv, Niv Haim, Matan Atzmon, and Yaron Lipman · 2020
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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
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D-NeRF: Neural Radiance Fields for Dynamic Scenes
Albert Pumarola, Enric Corona, Gerard Pons-Moll, and Francesc Moreno-Noguer · 2020
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Implicit neural representations with periodic activation functions
Vincent Sitzmann, Julien Martel, Alexander Bergman, David Lindell, and Gordon Wetzstein · 2020
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State of the Art on Neural Rendering
A. Tewari, O. Fried, J. Thies, V. Sitzmann, S. Lombardi, K. Sunkavalli, R. Martin-Brualla, T. Simon, J. Saragih, M. Nießner, R. Pandey, S. Fanello, G. Wetzstein, J.-Y. Zhu, C. Theobalt, M. Agrawala, E. Shechtman, D. B Goldman, and M. Zollhöfer · 2020
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Synsin: End-to-end view synthesis from a single image
Olivia Wiles, Georgia Gkioxari, Richard Szeliski, and Justin Johnson · 2020
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Driving-signal aware full-body avatars
Timur Bagautdinov, Chenglei Wu, Tomas Simon, Fabian Prada, Takaaki Shiratori, Shih-En Wei, Weipeng Xu, Yaser Sheikh, and Jason Saragih · 2021
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Snarf: Differentiable forward skinning for animating non-rigid neural implicit shapes
Xu Chen, Yufeng Zheng, Michael J Black, Otmar Hilliges, and Andreas Geiger · 2021
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Reconstructing 3d human pose by watching humans in the mirror
Qi Fang, Qing Shuai, Junting Dong, Hujun Bao, and Xiaowei Zhou · 2021
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Dynamic view synthesis from dynamic monocular video
Chen Gao, Ayush Saraf, Johannes Kopf, and Jia-Bin Huang · 2021
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Neural human performer: Learning generalizable radiance fields for human performance rendering
Youngjoong Kwon, Dahun Kim, Duygu Ceylan, and Henry Fuchs · 2021
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Pulsar: Efficient sphere-based neural rendering
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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Space-time neural irradiance fields for free-viewpoint video
Wenqi Xian, Jia-Bin Huang, Johannes Kopf, and Changil Kim · 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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Volume rendering of neural implicit surfaces
Lior Yariv, Jiatao Gu, Yoni Kasten, and Yaron Lipman · 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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Autoavatar: Autoregressive neural fields for dynamic avatar modeling
Ziqian Bai, Timur Bagautdinov, Javier Romero, Michael Zollhöfer, Ping Tan, and Shunsuke Saito · 2022
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Christoph Lassner and Michael Zollhöfer · 2021
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Ai choreographer: Music conditioned 3d dance generation with aist++
Ruilong Li, Shan Yang, David A. Ross, and Angjoo Kanazawa · 2021
Cited alongside, same era.
Neural scene flow fields for space-time view synthesis of dynamic scenes
Zhengqi Li, Simon Niklaus, Noah Snavely, and Oliver Wang · 2021
Cited alongside, same era.
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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Mixture of volumetric primitives for efficient neural rendering
Stephen Lombardi, Tomas Simon, Gabriel Schwartz, Michael Zollhoefer, Yaser Sheikh, and Jason Saragih · 2021
Cited alongside, same era.
The power of points for modeling humans in clothing
Qianli Ma, Jinlong Yang, Siyu Tang, and Michael J. Black · 2021
Cited alongside, same era.
NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections
Ricardo Martin-Brualla, Noha Radwan, Mehdi S. M. Sajjadi, Jonathan T. Barron, Alexey Dosovitskiy, and Daniel Duckworth · 2021
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Later among the works it cites.
Neuman: Neural human radiance field from a single video
Wei Jiang, Kwang Moo Yi, Golnoosh Samei, Oncel Tuzel, and Anurag Ranjan · 2022
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Tava: Template-free animatable volumetric actors
Ruilong Li, Julian Tanke, Minh Vo, Michael Zollhofer, Jurgen Gall, Angjoo Kanazawa, and Christoph Lassner · 2022
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KeypointNeRF: Generalizing image-based volumetric avatars using relative spatial encoding of keypoints
Marko Mihajlovic, Aayush Bansal, Michael Zollhoefer, Siyu Tang, and Shunsuke Saito · 2022
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COAP: Compositional articulated occupancy of people
Marko Mihajlovic, Shunsuke Saito, Aayush Bansal, Michael Zollhoefer, and Siyu Tang · 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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Drivable volumetric avatars using texel-aligned features
Edoardo Remelli, Timur Bagautdinov, Shunsuke Saito, Chenglei Wu, Tomas Simon, Shih-En Wei, Kaiwen Guo, Zhe Cao, Fabian Prada, Jason Saragih, et al · 2022
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Adop: Approximate differentiable one-pixel point rendering
Darius Rückert, Linus Franke, and Marc Stamminger · 2022
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Danbo: Disentangled articulated neural body representations via graph neural networks
Shih-Yang Su, Timur Bagautdinov, and Helge Rhodin · 2022
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Arah: Animatable volume rendering of articulated human sdfs
Shaofei Wang, Katja Schwarz, Andreas Geiger, and Siyu Tang · 2022
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HumanNeRF: Free-viewpoint rendering of moving people from monocular video
Chung-Yi Weng, Brian Curless, Pratul P. Srinivasan, Jonathan T. Barron, and Ira Kemelmacher-Shlizerman · 2022
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Point-nerf: Point-based neural radiance fields
Qiangeng Xu, Zexiang Xu, Julien Philip, Sai Bi, Zhixin Shu, Kalyan Sunkavalli, and Ulrich Neumann · 2022
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Structured local radiance fields for human avatar modeling
Zerong Zheng, Han Huang, Tao Yu, Hongwen Zhang, Yandong Guo, and Yebin Liu · 2022
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Pointavatar: Deformable point-based head avatars from videos
Yufeng Zheng, Yifan Wang, Gordon Wetzstein, Michael J Black, and Otmar Hilliges · 2023
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