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DA-GAN: Instance-level Image Translation by Deep Attention Generative Adversarial Networks (with Supplementary Materials) [article]

Shuang Ma, Jianlong Fu, Chang Wen Chen, Tao Mei
2018 arXiv   pre-print
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

Shuang Ma, Jianlong Fu, Chang Wen Chen, Tao Mei
2018 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition  
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]

Sagar Saxena, Mohammad Nayeem Teli
2021 arXiv   pre-print
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]

Yu Yin and Songyao Jiang and Joseph P. Robinson and Yun Fu
2020 arXiv   pre-print
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]

Liyun Zhang, Photchara Ratsamee, Bowen Wang, Manabu Higashida, Yuki Uranishi, Haruo Takemura
2021 arXiv   pre-print
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

Lei Wang, Wei Chen, Wenjia Yang, Fangming Bi, Fei Richard Yu
2020 IEEE Access  
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]

Aaron Gokaslan, Vivek Ramanujan, Daniel Ritchie, Kwang In Kim, James Tompkin
2018 Lecture Notes in Computer Science  
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]

Aaron Gokaslan, Vivek Ramanujan, Daniel Ritchie, Kwang In Kim, James Tompkin
2019 arXiv   pre-print
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]

Zhiqiang Shen and Mingyang Huang and Jianping Shi and Xiangyang Xue and Thomas Huang
2019 arXiv   pre-print
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

Zhiqiang Shen, Mingyang Huang, Jianping Shi, Xiangyang Xue, Thomas S. Huang
2019 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)  
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

Minfeng Zhu, Pingbo Pan, Wei Chen, Yi Yang
2019 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)  
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]

Minfeng Zhu and Pingbo Pan and Wei Chen and Yi Yang
2019 arXiv   pre-print
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

Ansh Kapil, Armin Meier, Keith Steele, Marlon Rebelatto, Katharina Nekolla, Alexander Haragan, Abraham Silva, Aleksandra Zuraw, Craig Barker, Marietta L. Scott, Tobias Wiestler, Simon Lanzmich (+2 others)
2021 IEEE Transactions on Medical Imaging  
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]

Xiang Wang and Kai Wang and Shiguo Lian
2019 arXiv   pre-print
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]

Xiangnan Yin, Di Huang, Hongyu Yang, Zehua Fu, Yunhong Wang, Liming Chen
2021 arXiv   pre-print
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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