Literature Reference¶
- CZP+18
Liang-Chieh Chen, Yukun Zhu, George Papandreou, Florian Schroff, and Hartwig Adam. Encoder-decoder with atrous separable convolution for semantic image segmentation. In The European Conference on Computer Vision (ECCV). 2018. URL: http://openaccess.thecvf.com/content_ECCV_2018/papers/Liang-Chieh_Chen_Encoder-Decoder_with_Atrous_ECCV_2018_paper.pdf, doi:10.1007/978-3-030-01234-2_49.
- GEB+17
Leon A. Gatys, Alexander S. Ecker, Matthias Bethge, Aaron Hertzmann, and Eli Shechtman. Controlling perceptual factors in neural style transfer. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2017. arXiv:1611.07865, doi:10.1109/CVPR.2017.397.
- GEB16
Leon A. Gatys, Alexander. S. Ecker, and Matthias Bethge. Image style transfer using convolutional neural networks. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2016. arXiv:1508.06576, doi:10.1109/CVPR.2016.265.
- JAL16
Justin Johnson, Alexandre Alahi, and Fei-Fei Li. Perceptual losses for real-time style transfer and super-resolution. In European Conference on Computer Vision (ECCV). 2016. arXiv:1603.08155, doi:10.1007/978-3-319-46475-6_43.
- KSH12
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E. Hinton. Imagenet classification with deep convolutional neural networks. In Advances in Neural Information Processing Systems 25 (NIPS). 2012. URL: https://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks.pdf.
- LW16
Chuan Li and Michael Wand. Combining markov random fields and convolutional neural networks for image synthesis. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2016. arXiv:1601.04589, doi:10.1109/CVPR.2016.272.
- MV15
Aravindh Mahendran and Andrea Vedaldi. Understanding deep image representations by inverting them. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2015. arXiv:1412.0035, doi:10.1109/CVPR.2015.7299155.
- SID17
Amir Semmo, Tobias Isenberg, and Jürgen Döllner. Neural style transfer: a paradigm shift for image-based artistic rendering? In Proceedings of the Symposium on Non-Photorealistic Animation and Rendering (NPAR). 2017. doi:10.1145/3092919.3092920.
- SZ14
Karen Simonyan and Andrew Zisserman. Very deep convolutional networks for large-scale image recognition. Computing Research Repository (CoRR), 2014. arXiv:1409.1556.
- ULVL16
Dmitry Ulyanov, Vadim Lebedev, Andrea Vedaldi, and Viktor S. Lempitsky. Texture networks: feed-forward synthesis of textures and stylized images. In International Conference on Machine Learning (ICML). 2016. URL: http://proceedings.mlr.press/v48/ulyanov16.html, arXiv:1603.03417.
- UVL16
Dmitry Ulyanov, Andrea Vedaldi, and Viktor S. Lempitsky. Instance normalization: the missing ingredient for fast stylization. Computing Research Repository (CoRR), 2016. arXiv:1607.08022.