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We propose a novel Deformed Implicit Field (DIF) representation for modeling 3D shapes of a category and generating dense correspondences among shapes.
Free-form deformation of solid geometric models
Thomas W Sederberg and Scott R Parry · 1986
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Marching cubes: A high resolution 3D surface construction algorithm
William E Lorensen and Harvey E Cline · 1987
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A morphable model for the synthesis of 3D faces
Volker Blanz and Thomas Vetter · 1999
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Image deformation using moving least squares
Scott Schaefer, Travis McPhail, and Joe Warren · 2006
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Face transfer with multilinear models
Daniel Vlasic, Matthew Brand, Hanspeter Pfister, and Jovan Popovic · 2006
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Harmonic coordinates for character articulation
Pushkar Joshi, Mark Meyer, Tony DeRose, Brian Green, and Tom Sanocki · 2007
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A 3D face model for pose and illumination invariant face recognition
Pascal Paysan, Reinhard Knothe, Brian Amberg, Sami Romdhani, and Thomas Vetter · 2009
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A simple geometric model for elastic deformations
Isaac Chao, Ulrich Pinkall, Patrick Sanan, and Peter Schröder · 2010
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Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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Auto-encoding variational bayes
Diederik P Kingma and Max Welling · 2014
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Real-time high-fidelity facial performance capture
Chen Cao, Derek Bradley, Kun Zhou, and Thabo Beeler · 2015
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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
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Delving deep into rectifiers: Surpassing human-level performance on imagenet classification
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2015
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2015
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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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High-fidelity pose and expression normalization for face recognition in the wild
Xiangyu Zhu, Zhen Lei, Junjie Yan, Dong Yi, and Stan Z Li · 2015
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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
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Reconstruction of personalized 3D face rigs from monocular video
Pablo Garrido, Michael Zollhöfer, Dan Casas, Levi Valgaerts, Kiran Varanasi, Patrick Pérez, and Christian Theobalt · 2016
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Face recognition using a unified 3D morphable model
Guosheng Hu, Fei Yan, Chi-Ho Chan, Weihong Deng, William Christmas, Josef Kittler, and Neil M Robertson · 2016
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Face2face: Real-time face capture and reenactment of rgb videos
Justus Thies, Michael Zollhofer, Marc Stamminger, Christian Theobalt, and Matthias Nießner · 2016
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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
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A scalable active framework for region annotation in 3D shape collections
Li Yi, Vladimir G Kim, Duygu Ceylan, I-Chao Shen, Mengyan Yan, Hao Su, Cewu Lu, Qixing Huang, Alla Sheffer, and Leonidas Guibas · 2016
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DeepSketch2Face: a deep learning based sketching system for 3D face and caricature modeling
Xiaoguang Han, Chang Gao, and Yizhou Yu · 2017
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Unite the people: Closing the loop between 3D and 2D human representations
Christoph Lassner, Javier Romero, Martin Kiefel, Federica Bogo, Michael J Black, and Peter V Gehler · 2017
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Learning a model of facial shape and expression from 4d scans
Tianye Li, Timo Bolkart, Michael J Black, Hao Li, and Javier Romero · 2017
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Octree generating networks: Efficient convolutional architectures for high-resolution 3D outputs
Maxim Tatarchenko, Alexey Dosovitskiy, and Thomas Brox · 2017
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MoFA: Model-based deep convolutional face autoencoder for unsupervised monocular reconstruction
Ayush Tewari, Michael Zollhofer, Hyeongwoo Kim, Pablo Garrido, Florian Bernard, Patrick Perez, and Christian Theobalt · 2017
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Learning shape abstractions by assembling volumetric primitives
Shubham Tulsiani, Hao Su, Leonidas J Guibas, Alexei A Efros, and Jitendra Malik · 2017
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3D menagerie: Modeling the 3D shape and pose of animals
Silvia Zuffi, Angjoo Kanazawa, David W Jacobs, and Michael J Black · 2017
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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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PartNet: A large-scale benchmark for fine-grained and hierarchical part-level 3D object understanding
Kaichun Mo, Shilin Zhu, Angel X Chang, Li Yi, Subarna Tripathi, Leonidas J Guibas, and Hao Su · 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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Superquadrics revisited: Learning 3D shape parsing beyond cuboids
Despoina Paschalidou, Ali Osman Ulusoy, and Andreas Geiger · 2019
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Scene representation networks: Continuous 3D-structure-aware neural scene representations
Vincent Sitzmann, Michael Zollhöfer, and Gordon Wetzstein · 2019
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Panos Achlioptas, Olga Diamanti, Ioannis Mitliagkas, and Leonidas Guibas · 2018
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DensePose: Dense human pose estimation in the wild
Rıza Alp Güler, Natalia Neverova, and Iasonas Kokkinos · 2018
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Modeling facial geometry using compositional vaes
Timur Bagautdinov, Chenglei Wu, Jason Saragih, Pascal Fua, and Yaser Sheikh · 2018
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Multi-chart generative surface modeling
Heli Ben-Hamu, Haggai Maron, Itay Kezurer, Gal Avineri, and Yaron Lipman · 2018
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Joint 3D face reconstruction and dense alignment with position map regression network
Yao Feng, Fan Wu, Xiaohu Shao, Yanfeng Wang, and Xi Zhou · 2018
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Unsupervised training for 3D morphable model regression
Kyle Genova, Forrester Cole, Aaron Maschinot, Aaron Sarna, Daniel Vlasic, and William T Freeman · 2018
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A papier-mâché approach to learning 3D surface generation
Thibault Groueix, Matthew Fisher, Vladimir G Kim, Bryan C Russell, and Mathieu Aubry · 2018
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What do single-view 3D reconstruction networks learn?
Maxim Tatarchenko, Stephan R Richter, René Ranftl, Zhuwen Li, Vladlen Koltun, and Thomas Brox · 2019
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Photo wake-up: 3D character animation from a single photo
Chung-Yi Weng, Brian Curless, and Ira Kemelmacher-Shlizerman · 2019
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SAL: Sign agnostic learning of shapes from raw data
Matan Atzmon and Yaron Lipman · 2020
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SAL++: Sign agnostic learning with derivatives
Matan Atzmon and Yaron Lipman · 2020
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BSP-Net: Generating compact meshes via binary space partitioning
Zhiqin Chen, Andrea Tagliasacchi, and Hao Zhang · 2020
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CvxNet: Learnable convex decomposition
Boyang Deng, Kyle Genova, Soroosh Yazdani, Sofien Bouaziz, Geoffrey Hinton, and Andrea Tagliasacchi · 2020
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Disentangled and controllable face image generation via 3D imitative-contrastive learning
Yu Deng, Jiaolong Yang, Dong Chen, Fang Wen, and Xin Tong · 2020
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Curriculum DeepSDF
Yueqi Duan, Haidong Zhu, He Wang, Li Yi, Ram Nevatia, and Leonidas J Guibas · 2020
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Local deep implicit functions for 3D shape
Kyle Genova, Forrester Cole, Avneesh Sud, Aaron Sarna, and Thomas Funkhouser · 2020
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DualSDF: Semantic shape manipulation using a two-level representation
Zekun Hao, Hadar Averbuch-Elor, Noah Snavely, and Serge Belongie · 2020
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Shapeflow: Learnable deformations among 3D shapes
Chiyu Jiang, Jingwei Huang, Andrea Tagliasacchi, and Leonidas Guibas · 2020
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Learning implicit functions for topology-varying dense 3D shape correspondence
Feng Liu and Xiaoming Liu · 2020
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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
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Implicit neural representations with periodic activation functions
Vincent Sitzmann, Julien NP Martel, Alexander W Bergman, David B Lindell, and Gordon Wetzstein · 2020
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Deep parametric shape predictions using distance fields
Dmitriy Smirnov, Matthew Fisher, Vladimir G Kim, Richard Zhang, and Justin Solomon · 2020
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StyleRig: Rigging stylegan for 3D control over portrait images
Ayush Tewari, Mohamed Elgharib, Gaurav Bharaj, Florian Bernard, Hans-Peter Seidel, Patrick Pérez, Michael Zollhofer, and Christian Theobalt · 2020
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Deformation-aware 3D model embedding and retrieval
Mikaela Angelina Uy, Jingwei Huang, Minhyuk Sung, Tolga Birdal, and Leonidas Guibas · 2020
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Neural cages for detail-preserving 3D deformations
Wang Yifan, Noam Aigerman, Vladimir G Kim, Siddhartha Chaudhuri, and Olga Sorkine-Hornung · 2020
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Deep implicit templates for 3D shape representation
Zerong Zheng, Tao Yu, Qionghai Dai, and Yebin Liu · 2021
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