1 |
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, pages 2672-2680, 2014.
|
2 |
K. He, X. Zhang, S. Ren, and J. Sun. Deep residual learning for image recognition. In Proceedings of the IEEE conference on computer vision and pattern recognition, pages 770-778, 2016.
|
3 |
Y.-C. Huang, Y.-S. Tung, J.-C. Chen, S.-W. Wang, and J.-L. Wu. An adaptive edge detection based colorization algorithm and its applications. In Proceedings of the 13th annual ACM international conference on Multimedia, pages 351-354, 2005.
|
4 |
S. Iizuka, E. Simo-Serra, and H. Ishikawa. Let there be color! joint end-to-end learning of global and local image priors for automatic image colorization with simultaneous classification. ACM Transactions on Graphics (ToG), 35(4):1-11, 2016.
|
5 |
S. Ioffe and C. Szegedy. Batch normalization: Accelerating deep network training by reducing internal covariate shift. arXiv preprint arXiv:1502.03167, 2015.
|
6 |
S. Kang, J. Choo, and J. Chang. Consistent comic colorization with pixel-wise background classification. In NIPS'17 Workshop on Machine Learning for Creativity and Design, 2017.
|
7 |
D. P. Kingma and M. Welling. Auto-encoding variational bayes. arXiv preprint arXiv:1312.6114, 2013.
|
8 |
A. Levin, D. Lischinski, and Y. Weiss. Colorization using optimization. In ACM SIGGRAPH 2004 Papers, pages 689-694. 2004.
|
9 |
Q. Luan, F. Wen, D. Cohen-Or, L. Liang, Y.-Q. Xu, and H.-Y. Shum. Natural image colorization. In Proceedings of the 18th Eurographics conference on Rendering Techniques, pages 309-320, 2007.
|
10 |
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, pages 1125-1134, 2017.
|
11 |
K. Nazeri, E. Ng, and M. Ebrahimi. Image colorization using generative adversarial networks. In International conference on articulated motion and deformable objects, pages 85-94. Springer, 2018.
|
12 |
T. M. Quan, D. G. Hildebrand, and W.-K. Jeong. Fusionnet: A deep fully residual convolutional neural network for image segmentation in connectomics. arXiv preprint arXiv:1612.05360, 2016.
|
13 |
A. Bugeau, V.-T. Ta, and N. Papadakis. Variational exemplar-based image colorization. IEEE Transactions on Image Processing, 23(1):298-307, 2013.
DOI
|
14 |
F. Baldassarre, D. G. MorIn, and L. Rodes-Guirao. Deep koalarization: Image colorization using cnns and ' inception-resnet-v2. arXiv preprint arXiv:1712.03400, 2017.
|
15 |
A. Y.-S. Chia, S. Zhuo, R. K. Gupta, Y.-W. Tai, S.-Y. Cho, P. Tan, and S. Lin. Semantic colorization with internet images. ACM Transactions on Graphics (TOG), 30(6):1-8, 2011.
|
16 |
A. Deshpande, J. Lu, M.-C. Yeh, M. Jin Chong, and D. Forsyth. Learning diverse image colorization. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pages 6837-6845, 2017.
|
17 |
C. Zou, H. Mo, C. Gao, R. Du, and H. Fu. Language-based colorization of scene sketches. ACM Transactions on Graphics (TOG), 38(6):1-16, 2019.
|
18 |
T. Welsh, M. Ashikhmin, and K. Mueller. Transferring color to greyscale images. In Proceedings of the 29th annual conference on Computer graphics and interactive techniques, pages 277-280, 2002.
|
19 |
O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh, S. Ma, Z. Huang, A. Karpathy, A. Khosla, M. Bernstein, et al. Imagenet large scale visual recognition challenge. International journal of computer vision, 115(3):211-252, 2015.
DOI
|
20 |
Y.-W. Tai, J. Jia, and C.-K. Tang. Local color transfer via probabilistic segmentation by expectation-maximization. In 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), volume 1, pages 747-754. IEEE, 2005.
|
21 |
Y. Xiao, P. Zhou, and Y. Zheng. Interactive deep colorization with simultaneous global and local inputs. arXiv preprint arXiv:1801.09083, 2018.
|
22 |
S. Yoo, H. Bahng, S. Chung, J. Lee, J. Chang, and J. Choo. Coloring with limited data: Few-shot colorization via memory augmented networks. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pages 11283-11292, 2019.
|
23 |
R. Zhang, P. Isola, and A. A. Efros. Colorful image colorization. In European conference on computer vision, pages 649-666. Springer, 2016.
|
24 |
R. Zhang, J.-Y. Zhu, P. Isola, X. Geng, A. S. Lin, T. Yu, and A. A. Efros. Real-time user-guided image colorization with learned deep priors. arXiv preprint arXiv:1705.02999, 2017.
|
25 |
L. Yatziv and G. Sapiro. Fast image and video colorization using chrominance blending. IEEE transactions on image processing, 15(5):1120-1129, 2006.
DOI
|
26 |
J. Zhao, J. Han, L. Shao, and C. G. Snoek. Pixelated semantic colorization. International Journal of Computer Vision, pages 1-17, 2019.
|
27 |
C. Zou, H. Mo, R. Du, X. Wu, C. Gao, and H. Fu. Lucss: Language-based user-customized colourization of scene sketches. arXiv preprint arXiv:1808.10544, 2018.
|
28 |
C. Zou, Q. Yu, R. Du, H. Mo, Y.-Z. Song, T. Xiang, C. Gao, B. Chen, and H. Zhang. Sketchyscene: Richly-annotated scene sketches. In Proceedings of the European Conference on Computer Vision (ECCV), pages 421-436, 2018.
|
29 |
H. Bahng, S. Yoo, W. Cho, D. Keetae Park, Z. Wu, X. Ma, and J. Choo. Coloring with words: Guiding image colorization through text-based palette generation. In Proceedings of the european conference on computer vision (eccv), pages 431-447, 2018.
|
30 |
Z. Cheng, Q. Yang, and B. Sheng. Deep colorization. In Proceedings of the IEEE International Conference on Computer Vision, pages 415-423, 2015.
|
31 |
P. Vitoria, L. Raad, and C. Ballester. Chromagan: Adversarial picture colorization with semantic class distribution. In The IEEE Winter Conference on Applications of Computer Vision, pages 2445-2454, 2020.
|