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DA-GAN: Instance-level Image Translation by Deep Attention Generative Adversarial Networks (with Supplementary Materials)
[article]
2018
arXiv
pre-print
Preserved Fulltext
To address the above issues, we propose a novel framework for instance-level image translation by Deep Attention GAN (DA-GAN). ...
Existing works build upon Generative Adversarial Network (GAN) such that the distribution of the translated images are indistinguishable from the distribution of the target set. ...
Related Work Generative Adversarial Networks Since the Generative Adversarial Networks (GANs) was proposed by Goodfellow et al., [9] researchers have studied it vigorously. ...
arXiv:1802.06454v1
fatcat:lwn3x3ymrzcibcvxk4wauosrai
DA-GAN: Instance-Level Image Translation by Deep Attention Generative Adversarial Networks
2018
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
Preserved Fulltext
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To address the above issues, we propose a novel framework for instance-level image translation by Deep Attention GAN (DA-GAN). ...
Existing works build upon Generative Adversarial Networks (GANs) such that the distribution of the translated images are indistinguishable from the distribution of the target set. ...
instance-level and set-level. • To the best of our knowledge, we are the first that integrate the attention mechanism into Generative Adversarial Networks. • We introduce a novel framework DA-GAN, which ...
doi:10.1109/cvpr.2018.00593
dblp:conf/cvpr/MaFCM18
fatcat:fzgyadju7vdzxnhfkisk5xp7gu
Comparison and Analysis of Image-to-Image Generative Adversarial Networks: A Survey
[article]
2021
arXiv
pre-print
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In this paper, we survey and analyze eight Image-to-Image Generative Adversarial Networks: Pix2Px, CycleGAN, CoGAN, StarGAN, MUNIT, StarGAN2, DA-GAN, and Self Attention GAN. ...
Generative Adversarial Networks (GANs) have recently introduced effective methods of performing Image-to-Image translations. ...
Da-gan: Instance-level im-
age translation by deep attention generative adversarial networks.
17. S. Hwang, J. Park, N. ...
arXiv:2112.12625v1
fatcat:4c6hwk76engxxozjfijvq3vqmm
Dual-Attention GAN for Large-Pose Face Frontalization
[article]
2020
arXiv
pre-print
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In this paper, we present a novel Dual-Attention Generative Adversarial Network (DA-GAN) for photo-realistic face frontalization by capturing both contextual dependencies and local consistency during GAN ...
By introducing these two complementary attention mechanisms in generator and discriminator separately, we can learn a richer feature representation and generate identity preserving inference of frontal ...
We dub the proposed model as Dual-Attention Generative Adversarial Network (DA-GAN). 1 The benefits of DA-GAN are as follows. ...
arXiv:2002.07227v1
fatcat:ezeip3ct6zagtcpqeslmaq2ixa
Panoptic-based Object Style-Align for Image-to-Image Translation
[article]
2021
arXiv
pre-print
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We propose panoptic-based object style-align generative adversarial networks (POSA-GANs) for image-to-image translation together with a compact panoptic segmentation dataset. ...
The panoptic segmentation model is utilized to extract panoptic-level perception (i.e., overlap-removed foreground object instances and background semantic regions in the image). ...
In Proceedings of the IEEE/CVF
Da-gan: Instance-level image translation by deep attention Conference on Computer Vision and Pattern Recognition,
generative adversarial networks. ...
arXiv:2112.01926v1
fatcat:lvzoo3vkzrgmhda2adpqyxufgm
A State-of-the-Art Review on Image Synthesis with Generative Adversarial Networks
2020
IEEE Access
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INDEX TERMS Generative adversarial networks, image synthesis, image-to-image translation, image editing, cartoon generation. ...
Generative Adversarial Networks (GANs) have achieved impressive results in various image synthesis tasks, and are becoming a hot topic in computer vision research because of the impressive performance ...
[96] proposed an instance-level image translation approach called DA-GAN, which can synthesize animation face from a human face. Hamada et al. ...
doi:10.1109/access.2020.2982224
fatcat:p5uxjh4cybfw5grp6ldhkpukrm
Improving Shape Deformation in Unsupervised Image-to-Image Translation
[chapter]
2018
Lecture Notes in Computer Science
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Inspired by semantic segmentation, we introduce a discriminator with dilated convolutions that is able to use information from across the entire image to train a more context-aware generator. ...
Unsupervised image-to-image translation techniques are able to map local texture between two domains, but they are typically unsuccessful when the domains require larger shape change. ...
Improving Shape Deformation in Unsupervised Image-to-Image Translation ...
doi:10.1007/978-3-030-01258-8_40
fatcat:mkzrfq7ujnbrpodmbl4zvpgsbe
Improving Shape Deformation in Unsupervised Image-to-Image Translation
[article]
2019
arXiv
pre-print
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Inspired by semantic segmentation, we introduce a discriminator with dilated convolutions that is able to use information from across the entire image to train a more context-aware generator. ...
Unsupervised image-to-image translation techniques are able to map local texture between two domains, but they are typically unsuccessful when the domains require larger shape change. ...
.: DA-GAN: Instance-level image translation by deep attention generative adversarial networks. In: Conference on Computer Vision and Pattern Recognition (2018) 31. ...
arXiv:1808.04325v2
fatcat:t6et2bqiiramzmrh3g6ho4pftq
Towards Instance-level Image-to-Image Translation
[article]
2019
arXiv
pre-print
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We also collect a large-scale benchmark for the new instance-level translation task. We observe that our synthetic images can even benefit real-world vision tasks like generic object detection. ...
In this paper, we present a simple yet effective instance-aware image-to-image translation approach (INIT), which employs the fine-grained local (instance) and global styles to the target image spatially ...
For instance, DA-GAN [25] learns a deep attention encoder to enable the instance-level translation, which is unable to handle the multi-instance and complex circumstance. ...
arXiv:1905.01744v1
fatcat:vicgo5i7vvhddpb36tvgavfelu
Towards Instance-Level Image-To-Image Translation
2019
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Preserved Fulltext
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In this paper, we present a simple yet effective instance-aware image-toimage translation approach (INIT), which employs the finegrained local (instance) and global styles to the target image spatially ...
We also collect a large-scale benchmark 1 for the new instancelevel translation task. We observe that our synthetic images can even benefit real-world vision tasks like generic object detection. ...
For instance, DA-GAN [23] learns a deep attention encoder to enable the instance-level translation, which is unable to handle the multi-instance and complex circumstance. ...
doi:10.1109/cvpr.2019.00380
dblp:conf/cvpr/ShenHSXH19
fatcat:am4lo5uyobdrxbq2i4xafa2x5u
DM-GAN: Dynamic Memory Generative Adversarial Networks for Text-To-Image Synthesis
2019
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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In this paper, we propose the Dynamic Memory Generative Adversarial Network (DM-GAN) to generate high-quality images. ...
If the initial image is not well initialized, the following processes can hardly refine the image to a satisfactory quality. (2) Each word contributes a different level of importance when depicting different ...
Acknowledgment This research has been supported by National Key Research and Development Program (2018YFB0904503) and National Natural Science Foundation of China (U1866602, 61772456). ...
doi:10.1109/cvpr.2019.00595
dblp:conf/cvpr/ZhuP0019
fatcat:kw3cfiicqfdk5pz5ck5jyd7zga
DM-GAN: Dynamic Memory Generative Adversarial Networks for Text-to-Image Synthesis
[article]
2019
arXiv
pre-print
Preserved Fulltext
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In this paper, we propose the Dynamic Memory Generative Adversarial Network (DM-GAN) to generate high-quality images. ...
If the initial image is not well initialized, the following processes can hardly refine the image to a satisfactory quality. (2) Each word contributes a different level of importance when depicting different ...
Acknowledgment This research has been supported by National Key Research and Development Program (2018YFB0904503) and National Natural Science Foundation of China (U1866602, 61772456). ...
arXiv:1904.01310v1
fatcat:hjt7y2cchvbuxkiptzy2yqcu6y
Domain adaptation-based deep learning for automated Tumor Cell (TC) scoring and survival analysis on PD-L1 stained tissue images
2021
IEEE Transactions on Medical Imaging
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Both systems analyze functional and morphological properties of epithelial regions in digital histopathology whole slide images stained with the SP263 PD-L1 antibody. ...
Both systems are built on a novel unpaired domain adaptation deep learning solution for epithelial region segmentation. ...
To bypass the need for either serial sections or subsequent staining, we exploit recent advances in deep generative adversarial networks (GANs), especially in unpaired image-to-image translation using ...
doi:10.1109/tmi.2021.3081396
pmid:34003747
fatcat:74q5zxbiszcerbuqsa6jvu4gui
A Survey on Face Data Augmentation
[article]
2019
arXiv
pre-print
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Among all these approaches, we put the emphasis on the deep learning-based works, especially the generative adversarial networks which have been recognized as more powerful and effective tools in recent ...
The quality and size of training set have great impact on the results of deep learning-based face related tasks. ...
We introduce these researches in intuitive presentation level and deep method level.
III. ...
arXiv:1904.11685v1
fatcat:phcwwc7gcfablgytt6itr6xade
Pixel Sampling for Style Preserving Face Pose Editing
[article]
2021
arXiv
pre-print
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Other Versions
2020
2020 IEEE International Joint Conference on Biometrics (IJCB)
unpublished
doi:10.1109/ijcb48548.2020.9304867 fatcat:5rzuflhzbbe55pimqsppe3hgvu
doi:10.1109/ijcb48548.2020.9304867 fatcat:5rzuflhzbbe55pimqsppe3hgvu
By leveraging high-dimensional embedding at the inpainting stage, finer details are generated. ...
By selectively sampling pixels from the input face and slightly adjust their relative locations with the proposed "Pixel Attention Sampling" module, the face editing result faithfully keeps the identity ...
Related Work
Generative Adversarial Network (GAN) In recent years, Generative Adversarial Networks (GAN) has been one of the most popular research directions for image generation. ...
arXiv:2106.07310v1
fatcat:xo3dn2ldzfd6pbkrtkxreuolsu
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