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Choosing the right representation for geometry is crucial for making 3D models compatible with existing applications.
Surfaces for computer-aided design of space forms
S. A. Coons · 1967
Earlier work this paper cites.
Automatic reconstruction of b-spline surfaces of arbitrary topological type
Matthias Eck and Hugues Hoppe · 1996
Earlier work this paper cites.
Fitting smooth surfaces to dense polygon meshes
Venkat Krishnamurthy and Marc Levoy · 1996
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The NURBS Book
Les Piegl and Wayne Tiller · 1996
Earlier work this paper cites.
Deformable template models: A review
Anil K. Jain, Yu Zhong, and Marie-Pierre Dubuisson-Jolly · 1998
Earlier work this paper cites.
Teddy: A sketching interface for 3d freeform design
Takeo Igarashi, Satoshi Matsuoka, and Hidehiko Tanaka · 1999
Earlier work this paper cites.
Automatic sampling for cmm inspection planning of free-form surfaces
Diaa F Elkott, Hoda A Elmaraghy, and Waguih H Elmaraghy · 2002
Earlier work this paper cites.
Sampling points on regular parametric curves with control of their distribution
Victoria Hernández-Mederos and Jorge Estrada-Sarlabous · 2003
Earlier work this paper cites.
Sketch-based modeling with few strokes
Joseph Jacob Cherlin, Faramarz Samavati, Mario Costa Sousa, and Joaquim A. Jorge · 2005
Earlier work this paper cites.
Structured annotations for 2D-to-3D modeling
Yotam Gingold, Takeo Igarashi, and Denis Zorin · 2009
Earlier work this paper cites.
Sketch-based modeling: A survey
Luke Olsen, Faramarz F. Samavati, Mario Costa Sousa, and Joaquim A. Jorge · 2009
Earlier work this paper cites.
Fast directional chamfer matching
M. Liu, O. Tuzel, A. Veeraraghavan, and R. Chellappa · 2010
Earlier work this paper cites.
Where do people draw lines?
Forrester Cole, Aleksey Golovinskiy, Alex Limpaecher, Heather Stoddart Barros, Adam Finkelstein, Thomas Funkhouser, and Szymon Rusinkiewicz · 2012
Earlier work this paper cites.
Intelligent sampling for the measurement of structured surfaces
Jian Wang, Xiang Jiang, LA Blunt, Richard K Leach, and Paul J Scott · 2012
Earlier work this paper cites.
Surface creation on unstructured point sets using neural networks
Mehmet Ersin Yumer and Levent Burak Kara · 2012
Earlier work this paper cites.
Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
Earlier work this paper cites.
Modeling character canvases from cartoon drawings
Mikhail Bessmeltsev, Will Chang, Nicholas Vining, Alla Sheffer, and Karan Singh · 2015
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, Jianxiong Xiao, Li Yi, and Fisher Yu · 2015
Earlier work this paper cites.
Modeling 3d animals from a side-view sketch
Even Entem, Loic Barthe, Marie-Paule Cani, Frederic Cordier, and Michiel van de Panne · 2015
Earlier work this paper cites.
Instant field-aligned meshes
Wenzel Jakob, Marco Tarini, Daniele Panozzo, and Olga Sorkine-Hornung · 2015
Earlier work this paper cites.
Gesture3D: Posing 3D Characters via Gesture Drawings
Mikhail Bessmeltsev, Nicholas Vining, and Alla Sheffer · 2016
Earlier work this paper cites.
A survey of sketch based modeling systems
Chao Ding and Ligang Liu · 2016
Earlier work this paper cites.
Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Interactive sketching of urban procedural models
Gen Nishida, Ignacio Garcia-Dorado, Daniel G. Aliaga, Bedrich Benes, and Adrien Bousseau · 2016
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Unsupervised learning of 3d structure from images
Danilo Jimenez Rezende, SM Ali Eslami, Shakir Mohamed, Peter Battaglia, Max Jaderberg, and Nicolas Heess · 2016
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Single image 3d interpreter network
Jiajun Wu, Tianfan Xue, Joseph J Lim, Yuandong Tian, Joshua B Tenenbaum, Antonio Torralba, and William T Freeman · 2016
Cited alongside, same era.
Perspective transformer nets: Learning single-view 3d object reconstruction without 3d supervision
Xinchen Yan, Jimei Yang, Ersin Yumer, Yijie Guo, and Honglak Lee · 2016
Cited alongside, same era.
A scalable active framework for region annotation in 3d shape collections
Mastering Sketching: Adversarial Augmentation for Structured Prediction
Edgar Simo-Serra, Satoshi Iizuka, and Hiroshi Ishikawa · 2018
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Multi-view consistency as supervisory signal for learning shape and pose prediction
Shubham Tulsiani, Alexei A Efros, and Jitendra Malik · 2018
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Unsupervised learning of 3d model reconstruction from hand-drawn sketches
Lingjing Wang, Jifei Wang, Cheng Qian, and Yi Fang · 2018
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Learning 3D Shape Priors for Shape Completion and Reconstruction
Jiajun Wu, Chengkai Zhang, Xiuming Zhang, Zhoutong Zhang, William T Freeman, and Joshua B Tenenbaum · 2018
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Foldingnet: Point cloud auto-encoder via deep grid deformation
Yaoqing Yang, Chen Feng, Yiru Shen, and Dong Tian · 2018
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P2p-net: Bidirectional point displacement net for shape transform
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Li Yi, Vladimir G. Kim, Duygu Ceylan, I-Chao Shen, Mengyan Yan, Hao Su, Cewu Lu, Qixing Huang, Alla Sheffer, and Leonidas Guibas · 2016
Cited alongside, same era.
DeepPointSet : A Point Set Generation Network for 3D Object Reconstruction from a Single Image
Haoqiang Fan, Hao Su, and Leonidas Guibas · 2017
Cited alongside, same era.
Shape synthesis from sketches via procedural models and convolutional networks
H. Huang, E. Kalogerakis, E. Yumer, and R. Mech · 2017
Cited alongside, same era.
3d shape reconstruction from sketches via multi-view convolutional networks
Zhaoliang Lun, Matheus Gadelha, Evangelos Kalogerakis, Subhransu Maji, and Rui Wang · 2017
Cited alongside, same era.
MarrNet: 3D Shape Reconstruction via 2.5D Sketches
Jiajun Wu, Yifan Wang, Tianfan Xue, Xingyuan Sun, William T Freeman, and Joshua B Tenenbaum · 2017
Cited alongside, same era.
Modeling facial geometry using compositional vaes
Timur Bagautdinov, Chenglei Wu, Jason Saragih, Pascal Fua, and Yaser Sheikh · 2018
Cited alongside, same era.
Geodesic convolutional shape optimization
Pierre Baque, Edoardo Remelli, François Fleuret, and Pascal Fua · 2018
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Kangxue Yin, Hui Huang, Daniel Cohen-Or, and Hao Zhang · 2018
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Learning to Reconstruct Shapes from Unseen Classes
Xiuming Zhang, Zhoutong Zhang, Chengkai Zhang, Joshua B Tenenbaum, William T Freeman, and Jiajun Wu · 2018
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Vectorizing Line Drawings via Polyvector Fields
Mikhail Bessmeltsev and Justin Solomon · 2019
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Learning implicit fields for generative shape modeling
Zhiqin Chen and Hao Zhang · 2019
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DeepSpline: Data-Driven Reconstruction of Parametric Curves and Surfaces
Jun Gao, Chengcheng Tang, Vignesh Ganapathi-Subramanian, Jiahui Huang, Hao Su, and Leonidas J. Guibas · 2019
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Learning shape templates with structured implicit functions
Kyle Genova, Forrester Cole, Daniel Vlasic, Aaron Sarna, William T Freeman, and Thomas Funkhouser · 2019
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Opensketch: A richly-annotated dataset of product design sketches
Yulia Gryaditskaya, Mark Sypesteyn, Jan Willem Hoftijzer, Sylvia Pont, Frédo Durand, and Adrien Bousseau · 2019
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Hierarchical surface prediction
Christian Häne, Shubham Tulsiani, and Jitendra Malik · 2019
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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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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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Learning adaptive hierarchical cuboid abstractions of 3d shape collections
Chunyu Sun, Qianfang Zou, Xin Tong, and Yang Liu · 2019
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3dn: 3d deformation network
Weiyue Wang, Duygu Ceylan, Radomir Mech, and Ulrich Neumann · 2019
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Deep geometric prior for surface reconstruction
Francis Williams, Teseo Schneider, Claudio Silva, Denis Zorin, Joan Bruna, and Daniele Panozzo · 2019
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Better patch stitching for parametric surface reconstruction
Zhantao Deng, Jan Bednařík, Mathieu Salzmann, and Pascal Fua · 2020
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Polygen: An autoregressive generative model of 3d meshes
Charlie Nash, Yaroslav Ganin, SM Eslami, and Peter W Battaglia · 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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