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Reconstructing 3D shape from 2D sketches has long been an open problem because the sketches only provide very sparse and ambiguous information.
Marching Cubes: A High Resolution 3D Surface Construction Algorithm
W.E. Lorensen and H.E. Cline · 1987
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Recovering three-dimensional shape from a single image of curved objects
Jitendra Malik and Dror Maydan · 1989
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Comprehensible rendering of 3-d shapes
Takafumi Saito and Tokiichiro Takahashi · 1990
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An Optimization-Based Approach to the Interpretation of Single Line Drawings as 3D Wire Frames
Y. G. Leclerc and M. Fischler · 1992
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3D Model-Based Tracking of Human Upper Body Movement: A Multi-View Approach
D.M. Gavrila and L.S. Davis · 1995
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Model-Based Optimization: Accurate and Consistent Site Modeling
P. Fua · 1996
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Optimization-based reconstruction of a 3D object from a single freehand line drawing
Hod Lipson and Moshe Shpitalni · 1996
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Topology Adaptive Deformable Surfaces for Medical Image Volume Segmentation
T. Mcinerney and D. Terzopoulos · 1999
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Level Set Methods and Fast Marching Methods Evolving Interfaces in Computational Geometry, Fluid Mechanics, Computer Vision, and Materials Science
J. A. Sethian · 1999
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Free-form sketching with variational implicit surfaces
Olga Karpenko, John F Hughes, and Ramesh Raskar · 2002
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Suggestive Contours for Conveying Shape
D. DeCarlo, A. Finkelstein, S. Rusinkiewicz, and A. Santella · 2003
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Kinematic Jump Processes for Monocular 3D Human Tracking
C. Sminchisescu and B. Triggs · 2003
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3D Human Pose from Silhouettes by Relevance Vector Regression
A. Agarwal and B. Triggs · 2004
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A sketch-based interface for detail-preserving mesh editing
A. Nealen, O. Sorkine, M. Alexa, and D. Cohen-Or · 2005
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Teddy: a Sketching Interface for 3D Freeform Design
Takeo Igarashi, Satoshi Matsuoka, and Hidehiko Tanaka · 2006
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Implicit Meshes for Effective Silhouette Handling
S. Ilić, M. Salzmann, and P. Fua · 2007
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Sketching mesh deformations
Youngihn Kho and Michael Garland · 2007
Cited alongside, same era.
Reconstructing Sharply Folding Surfaces: A Convex Formulation
M. Salzmann and P. Fua · 2009
Cited alongside, same era.
Inferring mirror symmetric 3d shapes from sketches
Frederic Cordier, Hyewon Seo, Mahmoud Melkemi, and Nickolas S Sapidis · 2013
Cited alongside, same era.
Microsoft COCO: Common Objects in Context
T-.Y. Lin, M. Maire, S. Belongie, J. Hays, P. Perona, D. Ramanan, P. Dollár, and C.L. Zitnick · 2014
Cited alongside, same era.
Shapenet: An Information-Rich 3D Model Repository
A. Chang, T. Funkhouser, L. G., P. Hanrahan, Q. Huang, Z. Li, S. Savarese, M. Savva, S. Song, H. Su, J. Xiao, L. Yi, and F. Yu · 2015
Cited alongside, same era.
Sketching folds: Developable surfaces from non-planar silhouettes
Amaury Jung, Stefanie Hahmann, Damien Rohmer, Antoine Begault, Laurence Boissieux, and Marie-Paule Cani · 2015
Learning Implicit Fields for Generative Shape Modeling
Z. Chen and H. Zhang · 2019
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Mesh R-CNN
G. Gkioxari, J. Malik, and J. Johnson · 2019
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OpenSketch: a richly-annotated dataset of product design sketches
Y. Gryaditskaya, M. Sypesteyn, J.W. Hoftijzer, S.C. Pont, F. Durand, and A. Bousseau · 2019
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Occupancy Networks: Learning 3D Reconstruction in Function Space
L. Mescheder, M. Oechsle, M. Niemeyer, S. Nowozin, and A. Geiger · 2019
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DeepSdf: Learning Continuous Signed Distance Functions for Shape Representation
J. J. Park, P. Florence, J. Straub, R. A. Newcombe, and S. Lovegrove · 2019
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DISN: Deep Implicit Surface Network for High-Quality Single-View 3D Reconstruction
Q. Xu, W. Wang, D. Ceylan, R. Mech, and U. Neumann · 2019
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Cited alongside, same era.
U-Net: Convolutional Networks for Biomedical Image Segmentation
O. Ronneberger, P. Fischer, and T. Brox · 2015
Cited alongside, same era.
Deep Residual Learning for Image Recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
Cited alongside, same era.
Multi-class generative adversarial networks with the l2 loss function
Xudong Mao, Qing Li, Haoran Xie, Raymond YK Lau, and Zhen Wang · 2016
Cited alongside, same era.
Image-To-Image Translation with Conditional Adversarial Networks
P. Isola, J. Zhu, T. Zhou, and A. A. Efros · 2017
Cited alongside, same era.
3d shape reconstruction from sketches via multi-view convolutional networks
Z. Lun, M. Gadelha, E. Kalogerakis, S. Maji, and R. Wang · 2017
Cited alongside, same era.
Geometric Deep Learning on Graphs and Manifolds Using Mixture Model CNNs
F. Monti, D. Boscaini, J. Masci, E. Rodolà, J. Svoboda, and M. M. Bronstein · 2017
Cited alongside, same era.
Later among the works it cites.
Monster mash: a single-view approach to casual 3D modeling and animation
M. Dvorožňák, D. Sỳkora, C. Curtis, B. Curless, O. Sorkine-Hornung, and D. Salesin · 2020
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UCLID-Net: Single View Reconstruction in Object Space
B. Guillard, E. Remelli, and P. Fua · 2020
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Contour-based 3D Modeling through Joint Embedding of Shapes and Contours
A. Jin, Q. Fu, and Z. Deng · 2020
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Coupling explicit and implicit surface representations for generative 3d modeling
O. Poursaeed, M. Fisher, N. Aigerman, and V.G. Kim · 2020
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Accelerating 3d deep learning with pytorch3d
Nikhila Ravi, Jeremy Reizenstein, David Novotny, Taylor Gordon, Wan-Yen Lo, Justin Johnson, and Georgia Gkioxari · 2020
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Meshsdf: Differentiable Iso-Surface Extraction
E. Remelli, A. Lukoianov, S. Richter, B. Guillard, T. Bagautdinov, P. Baque, and P. Fua · 2020
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Frodo: from Detections to 3D Objects
M. Runz, K. Li, M. Tang, L. Ma, C. Kong, T. Schmidt, I. Reid, L. Agapito, J. Straub, S. Lovegrove, and R. Newcombe · 2020
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Deep Sketch-Based Modelling: Tips and Tricks
Yue Zhong, Yulia Gryaditskaya, Honggang Zhang, and Yi-Zhe Song · 2020
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Towards practical sketch-based 3d shape generation: The role of professional sketches
Yue Zhong, Yonggang Qi, Yulia Gryaditskaya, Honggang Zhang, and Yi-Zhe Song · 2020
Later among the works it cites.