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Sketch drawings capture the salient information of visual concepts.
Algorithms for the reduction of the number of points required to represent a digitized line or its caricature
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Vision: A Computational Investigation into the Human Representation and Processing of Visual Information
Marr, D · 1982
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The helmholtz machine
Dayan, P., Hinton, G. E., Neal, R. M., and Zemel, R. S · 1995
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Long short-term memory
Hochreiter, S. and Schmidhuber, J · 1997
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Gradient-based learning applied to document recognition
LeCun, Y., Bottou, L., Bengio, Y., and Haffner, P · 1998
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Inferring motor programs from images of handwritten digits
Hinton, G. E. and Nair, V · 2005
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Imagenet: A large-scale hierarchical image database
Deng, J., Dong, W., Socher, R., Li, L., Li, K., and Li, F · 2009
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Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion
Vincent, P., Larochelle, H., Lajoie, I., Bengio, Y., and Manzagol, P · 2010
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Contour detection and hierarchical image segmentation
Arbelaez, P., Maire, M., Fowlkes, C. C., and Malik, J · 2011
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Generating sequences with recurrent neural networks
Graves, A · 2013
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Efficient estimation of word representations in vector space
Mikolov, T., Chen, K., Corrado, G., and Dean, J · 2013
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Generative adversarial nets
Goodfellow, I. J., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A. C., and Bengio, Y · 2014
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Auto-encoding variational bayes
Kingma, D. P. and Welling, M · 2014
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DRAW: A recurrent neural network for image generation
Gregor, K., Danihelka, I., Graves, A., Rezende, D. J., and Wierstra, D · 2015
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Batch normalization: Accelerating deep network training by reducing internal covariate shift
Ioffe, S. and Szegedy, C · 2015
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Adam: A method for stochastic optimization
Kingma, D. P. and Ba, J · 2015
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Human-level concept learning through probabilistic program induction
Lake, B. M., Salakhutdinov, R., and Tenenbaum, J. B · 2015
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End-to-end photo-sketch generation via fully convolutional representation learning
Zhang, L., Lin, L., Wu, X., Ding, S., and Zhang, L · 2015
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The quick, draw! - A.I. experiment., 2016
Jongejan, J., Rowley, H., Kawashima, T., Kim, J., and Fox-Gieg., N · 2016
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One-shot generalization in deep generative models
Rezende, D. J., Mohamed, S., Danihelka, I., Gregor, K., and Wierstra, D · 2016
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Improved techniques for training gans
Salimans, T., Goodfellow, I. J., Zaremba, W., Cheung, V., Radford, A., and Chen, X · 2016
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The sketchy database: learning to retrieve badly drawn bunnies
Sangkloy, P., Burnell, N., Ham, C., and Hays, J · 2016
Cited alongside, same era.
Conditional image generation with pixelcnn decoders
van den Oord, A., Kalchbrenner, N., Espeholt, L., Kavukcuoglu, K., Vinyals, O., and Graves, A · 2016
Cited alongside, same era.
Matching networks for one shot learning
Vinyals, O., Blundell, C., Lillicrap, T., Kavukcuoglu, K., and Wierstra, D · 2016
Cited alongside, same era.
Sketch me that shoe
Yu, Q., Liu, F., Song, Y., Xiang, T., Hospedales, T. M., and Loy, C. C · 2016
Cited alongside, same era.
Sketch-pix2seq: a model to generate sketches of multiple categories
Chen, Y., Tu, S., Yi, Y., and Xu, L · 2017
Cited alongside, same era.
Adversarial feature learning
Donahue, J., Krähenbühl, P., and Darrell, T · 2017
Learning to sketch with shortcut cycle consistency
Song, J., Pang, K., Song, Y., Xiang, T., and Hospedales, T. M · 2018
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Representation learning with contrastive predictive coding
van den Oord, A., Li, Y., and Vinyals, O · 2018
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Antoniou, A. and Storkey, A. J · 2019
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Doodle to search: Practical zero-shot sketch-based image retrieval
Dey, S., Riba, P., Dutta, A., Llados, J., and Song, Y.-Z · 2019
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Semantically tied paired cycle consistency for zero-shot sketch-based image retrieval
Dutta, A. and Akata, Z · 2019
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Cited alongside, same era.
Model-agnostic meta-learning for fast adaptation of deep networks
Finn, C., Abbeel, P., and Levine, S · 2017
Cited alongside, same era.
A generative vision model that trains with high data efficiency and breaks text-based captchas
George, D., Lehrach, W., Kansky, K., Lázaro-Gredilla, M., Laan, C., Marthi, B., Lou, X., Meng, Z., Liu, Y., Wang, H., Lavin, A., and Phoenix, D. S · 2017
Cited alongside, same era.
NIPS 2016 tutorial: Generative adversarial networks
Goodfellow, I. J · 2017
Cited alongside, same era.
Hypernetworks
Ha, D., Dai, A. M., and Le, Q. V · 2017
Cited alongside, same era.
beta-vae: Learning basic visual concepts with a constrained variational framework
Higgins, I., Matthey, L., Pal, A., Burgess, C., Glorot, X., Botvinick, M., Mohamed, S., and Lerchner, A · 2017
Cited alongside, same era.
Image-to-image translation with conditional adversarial networks
Isola, P., Zhu, J., Zhou, T., and Efros, A. A · 2017
Cited alongside, same era.
Imagenet-trained cnns are biased towards texture; increasing shape bias improves accuracy and robustness
Geirhos, R., Rubisch, P., Michaelis, C., Bethge, M., Wichmann, F. A., and Brendel, W · 2019
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Unsupervised learning via meta-learning
Hsu, K., Levine, S., and Finn, C · 2019
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Unsupervised meta-learning for few-shot image classification
Khodadadeh, S., Bölöni, L., and Shah, M · 2019
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The omniglot challenge: a 3-year progress report
Lake, B. M., Salakhutdinov, R., and Tenenbaum, J. B · 2019
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Photo-sketching: Inferring contour drawings from images
Li, M., Lin, Z. L., Mech, R., Yumer, E., and Ramanan, D · 2019
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Cose: Compositional stroke embeddings
Aksan, E., Deselaers, T., Tagliasacchi, A., and Hilliges, O · 2020
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Sketch less for more: On-the-fly fine-grained sketch-based image retrieval
Bhunia, A. K., Yang, Y., Hospedales, T. M., Xiang, T., and Song, Y.-Z · 2020
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Deepsvg: A hierarchical generative network for vector graphics animation
Carlier, A., Danelljan, M., Alahi, A., and Timofte, R · 2020
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Why do line drawings work? a realism hypothesis
Hertzmann, A · 2020
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Sketchtransfer: A new dataset for exploring detail-invariance and the abstractions learned by deep networks
Lamb, A., Ozair, S., Verma, V., and Ha, D · 2020
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Neural contours: Learning to draw lines from 3d shapes
Liu, D., Nabail, M., Hertzmann, A., and Kalogerakis, E · 2020
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Stacked adversarial network for zero-shot sketch based image retrieval
Pandey, A., Mishra, A., Verma, V. K., Mittal, A., and Murthy, H. A · 2020
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Sketchformer: Transformer-based representation for sketched structure
Ribeiro, L. S. F., Bui, T., Collomosse, J., and Ponti, M · 2020
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Interpreting the latent space of gans for semantic face editing
Shen, Y., Gu, J., Tang, X., and Zhou, B · 2020
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Learning abstract structure for drawing by efficient motor program induction
Tian, L., Ellis, K., Kryven, M., and Tenenbaum, J · 2020
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