| 參考文獻 |
[1] Ma et al. "Pose guided person image generation," arXiv preprint arXiv:1705.09368, 2017.
[2] Isola et al. "Image-to-image translation with conditional adversarial networks," Proceedings of the IEEE conference on computer vision and pattern recognition, 2017.
[3] Ma et al. "Disentangled person image generation," Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2018.
[4] Esser et al. "A variational u-net for conditional appearance and shape generation," Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2018.
[5] Siarohin et al. "Deformable GANs for pose-based human image generation," Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2018.
[6] Pumarola et al. "Unsupervised person image synthesis in arbitrary poses," Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2018.
[7] Kingma et al. "Auto-encoding variational bayes," arXiv preprint arXiv:1312.6114, 2013.
[8] Goodfellow et al. "Generative adversarial networks," arXiv preprint arXiv:1406.2661, 2014.
[9] Natalia Neverova et al. “Dense pose transfer,” arXiv preprint arXiv:1809.01995, 2018.
[10] L. Ma et al. "Progressive pose attention transfer for person image generation," Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019.
[11] He et al. "Deep residual learning for image recognition," Proceedings of the IEEE conference on computer vision and pattern recognition, 2016.
[12] Barlow et al. "Unsupervised learning," Neural computation, pp. 295-311, 1989.
[13] Ronneberger et al. "U-net: Convolutional networks for biomedical image segmentation," International Conference on Medical image computing and computer-assisted intervention, 2015.
[14] Noh et al. "Learning deconvolution network for semantic segmentation," Proceedings of the IEEE international conference on computer vision, 2015.
[15] Johnson et al. "Perceptual losses for real-time style transfer and super-resolution," European conference on computer vision, 2016.
[16] Ledig et al. "Photo-realistic single image super-resolution using a generative adversarial network," Proceedings of the IEEE conference on computer vision and pattern recognition, 2017.
[17] Ma et al. "Exemplar guided unsupervised image-to-image translation with semantic consistency," arXiv preprint arXiv:1805.11145, 2018.
[18] Mirza et al. "Conditional generative adversarial nets," arXiv preprint arXiv:1411.1784, 2014.
[19] Odena et al. "Conditional image synthesis with auxiliary classifier GANs," International conference on machine learning, 2017.
[20] Yu et al. "Free-form image inpainting with gated convolution," Proceedings of the IEEE/CVF International Conference on Computer Vision, 2019.
[21] Zhu et al. "Unpaired image-to-image translation using cycle-consistent adversarial networks," Proceedings of the IEEE international conference on computer vision, 2017.
[22] Mirza et al. "Conditional generative adversarial nets," arXiv preprint arXiv:1411.1784, 2014.
[23] Hochreiter et al. "The vanishing gradient problem during learning recurrent neural nets and problem solutions," International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, pp. 107-116, 1998.
[24] Hu et al. "Squeeze-and-excitation networks," Proceedings of the IEEE conference on computer vision and pattern recognition, 2018.
[25] Woo et al. "CBAM: Convolutional block attention module," Proceedings of the European conference on computer vision, 2018.
[26] Krizhevsky et al. "Imagenet classification with deep convolutional neural networks," Advances in neural information processing systems, pp. 1097-1105, 2012.
[27] Szegedy et al. "Rethinking the inception architecture for computer vision," Proceedings of the IEEE conference on computer vision and pattern recognition, 2016.
[28] Chen et al. "Rethinking atrous convolution for semantic image segmentation," arXiv preprint arXiv:1706.05587, 2017.
[29] Li et al. "Scale-aware trident networks for object detection," Proceedings of the IEEE/CVF International Conference on Computer Vision, 2019.
[30] Zhao et al. "Pyramid scene parsing network," Proceedings of the IEEE conference on computer vision and pattern recognition, 2017.
[31] Chen et al. "Big-little net: An efficient multi-scale feature representation for visual and speech recognition." arXiv preprint arXiv:1807.03848, 2018.
[32] Long et al. "Fully convolutional networks for semantic segmentation," Proceedings of the IEEE conference on computer vision and pattern recognition, 2015.
[33] Andriluka et al. "2d human pose estimation: New benchmark and state of the art analysis," Proceedings of the IEEE Conference on computer Vision and Pattern Recognition, 2014.
[34] Cao et al. "Realtime multi-person 2d pose estimation using part affinity fields," Proceedings of the IEEE conference on computer vision and pattern recognition, 2017.
[35] Ma et al. "Multi-layers feature fusion of convolutional neural network for scene classification of remote sensing," IEEE Access, 2019.
[36] Van den Branden Lambrecht et al. "Perceptual quality measure using a spatiotemporal model of the human visual system," Digital Video Compression: Algorithms and Technologies, 1996.
[37] Simonyan et al. "Very deep convolutional networks for large-scale image recognition," arXiv preprint arXiv:1409.1556, 2014.
[38] Wang et al. "Image quality assessment: from error visibility to structural similarity," IEEE transactions on image processing, pp. 600-612, 2004.
[39] Salimans et al. "Improved techniques for training gans," arXiv preprint arXiv:1606.03498, 2016.
[40] Li et al. "Dense intrinsic appearance flow for human pose transfer," Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2019.
[41] Chen et al. "PMAN: Progressive Multi-Attention Network for Human Pose Transfer," IEEE Transactions on Circuits and Systems for Video Technology, 2021. |
[Endnote RIS 格式]
[相關文章]
[文章引用]
[完整記錄]
[館藏目錄]
至系統瀏覽論文 (2026-7-27以後開放)
plurk
funp
live
udn
HD
myshare
netvibes
friend
youpush
delicious
baidu
Google bookmarks
del.icio.us
hemidemi
facebook
twitter
google
reddit