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Sketches are the most abstract 2D representations of real-world objects.
X. S. Poma, E. Riba, and A. Sappa, “Dense extreme inception network: Towards a robust cnn model for edge detection,” in Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision , 2020, pp. 1923–1932
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1981
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S. Schaefer, T. McPhail, and J. Warren, “Image deformation using moving least squares,” in ACM SIGGRAPH 2006 Papers , 2006, pp. 533–540
2006
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M. Eitz, J. Hays, and M. Alexa, “How do humans sketch objects?” ACM Transactions on Graphics , vol. 31, no. 4, pp. 44:1–44:10, 2012
2012
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2013
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2014
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I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio, “Generative adversarial nets,” in Advances in neural information processing systems , 2014
2014
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2014
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F. Wang, L. Kang, and Y. Li, “Sketch-based 3d shape retrieval using convolutional neural networks,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 2015
2015
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2015
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2015
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2015
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Q. Yu, F. Liu, Y.-Z. Song, T. Xiang, T. M. Hospedales, and C.-C. Loy, “Sketch me that shoe,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 2016
2016
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P. Sangkloy, N. Burnell, C. Ham, and J. Hays, “The sketchy database: learning to retrieve badly drawn bunnies,” ACM Transactions on Graphics , vol. 35, no. 4, pp. 1–12, 2016
2016
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C. B. Choy, D. Xu, J. Gwak, K. Chen, and S. Savarese, “3d-r2n2: A unified approach for single and multi-view 3d object reconstruction,” in European conference on computer vision . Springer, 2016
2016
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J. Wu, C. Zhang, T. Xue, B. Freeman, and J. Tenenbaum, “Learning a probabilistic latent space of object shapes via 3d generative-adversarial modeling,” in Advances in neural information processing systems , 2016
2016
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H. Huang, E. Kalogerakis, E. Yumer, and R. Mech, “Shape synthesis from sketches via procedural models and convolutional networks,” IEEE transactions on visualization and computer graphics , vol. 23, no. 8, pp. 2003–2013, 2016
2016
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2016
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2016
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M. Cordts, M. Omran, S. Ramos, T. Rehfeld, M. Enzweiler, R. Benenson, U. Franke, S. Roth, and B. Schiele, “The cityscapes dataset for semantic urban scene understanding,” in Proc. of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 2016
2016
Cited alongside, same era.
S. R. Richter, V. Vineet, S. Roth, and V. Koltun, “Playing for data: Ground truth from computer games,” in European conference on computer vision . Springer, 2016, pp. 102–118
2016
Cited alongside, same era.
Z. Lun, M. Gadelha, E. Kalogerakis, S. Maji, and R. Wang, “3d shape reconstruction from sketches via multi-view convolutional networks,” in 2017 International Conference on 3D Vision (3DV) . IEEE, 2017, pp. 67–77
2017
Cited alongside, same era.
O. Özyeşil, V. Voroninski, R. Basri, and A. Singer, “A survey of structure from motion*.” Acta Numerica , vol. 26, pp. 305–364, 2017
2017
Cited alongside, same era.
N. Wang, Y. Zhang, Z. Li, Y. Fu, W. Liu, and Y.-G. Jiang, “Pixel2mesh: Generating 3d mesh models from single rgb images,” in Proceedings of the European Conference on Computer Vision , 2018
2018
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2018
Later among the works it cites.
L. Wang, C. Qian, J. Wang, and Y. Fang, “Unsupervised learning of 3d model reconstruction from hand-drawn sketches,” in Proceedings of the 26th ACM international conference on Multimedia , 2018, pp. 1820–1828
2018
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D. Dai and L. Van Gool, “Dark model adaptation: Semantic image segmentation from daytime to nighttime,” in 2018 21st International Conference on Intelligent Transportation Systems (ITSC) . IEEE, 2018, pp. 3819–3824
2018
Later among the works it cites.
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E. Dibra, H. Jain, C. Oztireli, R. Ziegler, and M. Gross, “Human shape from silhouettes using generative hks descriptors and cross-modal neural networks,” in Proceedings of the IEEE conference on computer vision and pattern recognition , 2017
2017
Cited alongside, same era.
H. Fan, H. Su, and L. J. Guibas, “A point set generation network for 3d object reconstruction from a single image,” in Proceedings of the IEEE conference on computer vision and pattern recognition , 2017
2017
Cited alongside, same era.
C. Li, H. Pan, Y. Liu, X. Tong, A. Sheffer, and W. Wang, “Bendsketch: modeling freeform surfaces through 2d sketching,” ACM Transactions on Graphics , vol. 36, no. 4, pp. 1–14, 2017
2017
Cited alongside, same era.
A. Kar, C. Häne, and J. Malik, “Learning a multi-view stereo machine,” in Advances in neural information processing systems , 2017
2017
Cited alongside, same era.
M. Tatarchenko, A. Dosovitskiy, and T. Brox, “Octree generating networks: Efficient convolutional architectures for high-resolution 3d outputs,” in Proceedings of the IEEE International Conference on Computer Vision , 2017
2017
Cited alongside, same era.
C. Häne, S. Tulsiani, and J. Malik, “Hierarchical surface prediction for 3d object reconstruction,” in 2017 International Conference on 3D Vision . IEEE, 2017
2017
Cited alongside, same era.
P. Isola, J.-Y. Zhu, T. Zhou, and A. A. Efros, “Image-to-image translation with conditional adversarial networks,” in Proceedings of the IEEE conference on computer vision and pattern recognition , 2017
2017
Cited alongside, same era.
C. R. Qi, H. Su, K. Mo, and L. J. Guibas, “Pointnet: Deep learning on point sets for 3d classification and segmentation,” in Proceedings of the IEEE conference on computer vision and pattern recognition , 2017
2017
Cited alongside, same era.
2019
Later among the works it cites.
A. Ghosh, R. Zhang, P. K. Dokania, O. Wang, A. A. Efros, P. H. Torr, and E. Shechtman, “Interactive sketch & fill: Multiclass sketch-to-image translation,” in Proceedings of the IEEE International Conference on Computer Vision , 2019
2019
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Y. Zhang, Z. Liu, T. Liu, B. Peng, and X. Li, “Realpoint3d: An efficient generation network for 3d object reconstruction from a single image,” IEEE Access , vol. 7, pp. 57 539–57 549, 2019
2019
Later among the works it cites.
H. Xie, H. Yao, X. Sun, S. Zhou, and S. Zhang, “Pix2vox: Context-aware 3d reconstruction from single and multi-view images,” in Proceedings of the IEEE International Conference on Computer Vision , 2019
2019
Later among the works it cites.
N. Kolotouros, G. Pavlakos, and K. Daniilidis, “Convolutional mesh regression for single-image human shape reconstruction,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 2019
2019
Later among the works it cites.
J. Pan, X. Han, W. Chen, J. Tang, and K. Jia, “Deep mesh reconstruction from single rgb images via topology modification networks,” in Proceedings of the IEEE International Conference on Computer Vision , 2019
2019
Later among the works it cites.
P. Mandikal and V. B. Radhakrishnan, “Dense 3d point cloud reconstruction using a deep pyramid network,” in 2019 IEEE Winter Conference on Applications of Computer Vision . IEEE, 2019
2019
Later among the works it cites.
K. Navaneet, P. Mandikal, M. Agarwal, and R. V. Babu, “Capnet: Continuous approximation projection for 3d point cloud reconstruction using 2d supervision,” in Proceedings of the AAAI Conference on Artificial Intelligence , vol. 33, 2019, pp. 8819–8826
2019
Later among the works it cites.
G. Yang, X. Huang, Z. Hao, M.-Y. Liu, S. Belongie, and B. Hariharan, “Pointflow: 3d point cloud generation with continuous normalizing flows,” in Proceedings of the IEEE International Conference on Computer Vision , 2019
2019
Later among the works it cites.
K. Mo, P. Guerrero, L. Yi, H. Su, P. Wonka, N. Mitra, and L. J. Guibas, “Structurenet: Hierarchical graph networks for 3d shape generation,” ACM Transactions on Graphics , vol. 38, no. 6, 2019
2019
Later among the works it cites.
S. Nag, S. Adak, and S. Das, “What’s there in the dark,” in 2019 IEEE International Conference on Image Processing (ICIP) . IEEE, 2019, pp. 2996–3000
2019
Later among the works it cites.
Z. Han, B. Ma, Y.-S. Liu, and M. Zwicker, “Reconstructing 3d shapes from multiple sketches using direct shape optimization,” IEEE Transactions on Image Processing , vol. 29, pp. 8721–8734, 2020
2020
Closest in time.
2020
Closest in time.
N. Nozawa, H. P. Shum, E. S. Ho, and S. Morishima, “Single sketch image based 3d car shape reconstruction with deep learning and lazy learning.” in VISIGRAPP (1: GRAPP) , 2020, pp. 179–190
2020
Closest in time.
S.-H. Zhang, Y.-C. Guo, and Q.-W. Gu, “Sketch2model: View-aware 3d modeling from single free-hand sketches,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , 2021, pp. 6012–6021
2021
Closest in time.