Fetching the paper…
Reading the bibliography…
In this paper, we explore illustrations in children's books as a new domain in unpaired image-to-image translation.
J. Xiao, J. Hays, K. Ehinger, A. Oliva, A. Torralba, Sun database: Large-scale scene recognition from abbey to zoo, in: IEEE Conference on Computer Vision and Pattern Recognition, 2010, pp. 3485–3492
2010
Earlier work this paper cites.
I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, Y. Bengio, Generative adversarial nets, in: Advances in Neural Information Processing Systems, 2014, pp. 2672–2680
2014
Earlier work this paper cites.
I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, Y. Bengio, Generative adversarial nets, in: Advances in Neural Information Processing Systems, 2014, pp. 2672–2680
2014
Earlier work this paper cites.
D. Ulyanov, V. Lebedev, A. Vedaldi, V. S. Lempitsky, Texture networks: Feed-forward synthesis of textures and stylized images., in: International Conference on Machine Learning, 2016, pp. 1349–1357
2016
Earlier work this paper cites.
J. Johnson, A. Alahi, L. Fei-Fei, Perceptual losses for real-time style transfer and super-resolution, in: IEEE European Conference on Computer Vision, Springer, 2016, pp. 694–711
2016
Earlier work this paper cites.
C. Li, M. Wand, Precomputed real-time texture synthesis with markovian generative adversarial networks, in: IEEE European Conference on Computer Vision, Springer, 2016, pp. 702–716
2016
Earlier work this paper cites.
L. Karacan, Z. Akata, A. Erdem, E. Erdem, Learning to generate images of outdoor scenes from attributes and semantic layouts (2016) · 2016
Earlier work this paper cites.
K. He, X. Zhang, S. Ren, J. Sun, Deep residual learning for image recognition, in: IEEE Conference on Computer Vision and Pattern Recognition, 2016, pp. 770–778
2016
Earlier work this paper cites.
C. Li, M. Wand, Precomputed real-time texture synthesis with markovian generative adversarial networks, in: European Conference on Computer Vision, Springer, 2016, pp. 702–716
2016
Earlier work this paper cites.
S. Li, X. Xu, L. Nie, T.-S. Chua, Laplacian-steered neural style transfer, in: ACM International Conference on Multimedia, 2017, pp. 1716–1724
2017
Earlier work this paper cites.
Y. Li, C. Fang, J. Yang, Z. Wang, X. Lu, M.-H. Yang, Diversified texture synthesis with feed-forward networks, in: IEEE Conference on Computer Vision and Pattern Recognition, 2017
2017
Cited alongside, same era.
M.-Y. Liu, T. Breuel, J. Kautz, Unsupervised image-to-image translation networks, in: Advances in Neural Information Processing Systems, 2017, pp. 700–708
2017
Cited alongside, same era.
S. Hicsonmez, N. Samet, F. Sener, P. Duygulu, Draw: Deep networks for recognizing styles of artists who illustrate children’s books, in: ACM International Conference on Multimedia Retrieval, ACM, 2017, pp. 338–346
2017
Cited alongside, same era.
C. Ledig, L. Theis, F. Huszar, J. Caballero, A. Cunningham, A. Acosta, A. Aitken, A. Tejani, J. Totz, Z. Wang, et al., Photo-realistic single image super-resolution using a generative adversarial network, in: IEEE Conference on Computer Vision and Pattern Recognition, IEEE, 2017
2017
Cited alongside, same era.
T.-C. Wang, M.-Y. Liu, J.-Y. Zhu, A. Tao, J. Kautz, B. Catanzaro, High-resolution image synthesis and semantic manipulation with conditional gans, in: IEEE Conference on Computer Vision and Pattern Recognition, 2018, pp. 8798–8807
2018
Later among the works it cites.
W. Cho, S. Choi, D. K. Park, I. Shin, J. Choo, Image-to-image translation via group-wise deep whitening-and-coloring transformation, in: IEEE Conference on Computer Vision and Pattern Recognition, 2019, pp. 10639–10647
2019
Later among the works it cites.
M. Amodio, S. Krishnaswamy, Travelgan: Image-to-image translation by transformation vector learning, in: IEEE Conference on Computer Vision and Pattern Recognition, 2019, pp. 8983–8992
2019
Later among the works it cites.
M. Tomei, M. Cornia, L. Baraldi, R. Cucchiara, Art2real: Unfolding the reality of artworks via semantically-aware image-to-image translation, in: IEEE Conference on Computer Vision and Pattern Recognition, 2019, pp. 5849–5859
2019
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Y. Chen, Y.-K. Lai, Y.-J. Liu, Cartoongan: Generative adversarial networks for photo cartoonization, in: IEEE Conference on Computer Vision and Pattern Recognition, 2018
2018
Cited alongside, same era.
Y. Choi, M. Choi, M. Kim, J.-W. Ha, S. Kim, J. Choo, Stargan: Unified generative adversarial networks for multi-domain image-to-image translation, in: IEEE Conference on Computer Vision and Pattern Recognition, 2018, pp. 8789–8797
2018
Cited alongside, same era.
H.-Y. Lee, H.-Y. Tseng, J.-B. Huang, M. Singh, M.-H. Yang, Diverse image-to-image translation via disentangled representations, in: IEEE European Conference on Computer Vision, 2018, pp. 35–51
2018
Cited alongside, same era.
X. Huang, M.-Y. Liu, S. Belongie, J. Kautz, Multimodal unsupervised image-to-image translation, in: IEEE European Conference on Computer Vision, 2018, pp. 172–189
2018
Cited alongside, same era.
W. Chen, J. Hays, Sketchygan: Towards diverse and realistic sketch to image synthesis, in: IEEE Conference on Computer Vision and Pattern Recognition, 2018
2018
Cited alongside, same era.
Cited in the paper.
L. A. Gatys, A. S. Ecker, M. Bethge, Image style transfer using convolutional neural networks, IEEE Conference on Computer Vision and Pattern Recognition
Cited in the paper.
J.-Y. Zhu, T. Park, P. Isola, A. A. Efros, Unpaired image-to-image translation using cycle-consistent adversarial networks, IEEE International Conference on Computer Vision
Cited in the paper.
M.-Y. Liu, X. Huang, A. Mallya, T. Karras, T. Aila, J. Lehtinen, J. Kautz, Few-shot unsupervised image-to-image translation, in: IEEE International Conference on Computer Vision, 2019
2019
Later among the works it cites.
Y. Alharbi, N. Smith, P. Wonka, Latent filter scaling for multimodal unsupervised image-to-image translation, in: IEEE Conference on Computer Vision and Pattern Recognition, 2019, pp. 1458–1466
2019
Later among the works it cites.
F. Liu, X. Deng, Y.-K. Lai, Y.-J. Liu, C. Ma, H. Wang, Sketchgan: Joint sketch completion and recognition with generative adversarial network, in: IEEE Conference on Computer Vision and Pattern Recognition, 2019, pp. 5830–5839
2019
Later among the works it cites.
A. Ghosh, R. Zhang, P. K. Dokania, O. Wang, A. A. Efros, P. H. S. Torr, E. Shechtman, Interactive sketch & fill: Multiclass sketch-to-image translation, in: IEEE International Conference on Computer Vision, 2019
2019
Later among the works it cites.
A. Borji, Pros and cons of gan evaluation measures, Computer Vision and Image Understanding 179 (2019) 41–65
2019
Later among the works it cites.