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Analyzing and Improving the Image Quality of StyleGAN
[article]
2020
arXiv
pre-print
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Overall, our improved model redefines the state of the art in unconditional image modeling, both in terms of existing distribution quality metrics as well as perceived image quality. ...
The style-based GAN architecture (StyleGAN) yields state-of-the-art results in data-driven unconditional generative image modeling. ...
Acknowledgements We thank Ming-Yu Liu for an early review, Timo Viitanen for help with the public release, David Luebke for in-depth discussions and helpful comments, and Tero Kuosmanen for technical support ...
arXiv:1912.04958v2
fatcat:sruxmi3uuvdhnanr6iehk3gnpe
Analyzing and Improving the Image Quality of StyleGAN
2020
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Overall, our improved model redefines the state of the art in unconditional image modeling, both in terms of existing distribution quality metrics as well as perceived image quality. ...
The style-based GAN architecture (StyleGAN) yields state-of-the-art results in data-driven unconditional generative image modeling. ...
Acknowledgements We thank Ming-Yu Liu for an early review, Timo Viitanen for help with the public release, David Luebke for in-depth discussions and helpful comments, and Tero Kuosmanen for technical support ...
doi:10.1109/cvpr42600.2020.00813
dblp:conf/cvpr/KarrasLAHLA20
fatcat:5jlnui35argwriq4jbeqbrsz5u
Attributing and Detecting Fake Images Generated by Known GANs
2020
2020 IEEE Security and Privacy Workshops (SPW)
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The quality of GAN-generated fake images has improved significantly, and recent GAN approaches, such as StyleGAN, achieve near indistinguishability from real images for the naked eye. ...
In this paper, we analyze the frequency domain to attribute and detect fake images generated by a known GAN model. ...
INTRODUCTION Since the introduction of Generative Adversarial Networks (GANs) which can be used to generate superficially realistic images, the quality of these synthetic images has progressively improved ...
doi:10.1109/spw50608.2020.00019
fatcat:5byl2rzdl5a7xfwmdngbgdd2l4
Automated Sewer Defects Detection Using Style-based Generative Adversarial Networks and Fine-tuned Well-known CNN Classifier
2021
IEEE Access
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Date of publication xxxx 00, 0000, date of current version xxxx 00, 0000. ...
Improved strategy 2: StyleGANs implement the transfer learning [45] [46] [47] to enhance model performance in terms of image quality and training speed. ...
The BigGAN achieved a great improvement in the quality of synthetic images, but it requires a large number of training samples and time. ...
doi:10.1109/access.2021.3073915
fatcat:gkybbs5xercrhovvsnxmey2zou
Detecting GAN generated errors
[article]
2019
arXiv
pre-print
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This is because the task of evaluating the quality of a generated image differs from deciding if an image is real or fake. ...
We leverage Improved Wasserstein, BigGAN, and StyleGAN to show a ranking based on our metric correlates impressively with FID scores. ...
This approach consists of analyzing generated images and finding the size of a dataset needed before duplicate samples appear. ...
arXiv:1912.00527v1
fatcat:qyzf7ix3mbfklackr2xrezpogu
State-of-the-Art in the Architecture, Methods and Applications of StyleGAN
[article]
2022
arXiv
pre-print
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This state-of-the-art report covers the StyleGAN architecture, and the ways it has been employed since its conception, while also analyzing its severe limitations. ...
Of these, StyleGAN offers a fascinating case study, owing to its remarkable visual quality and an ability to support a large array of downstream tasks. ...
More specifically, StyleGAN [Karras et al. 2019 ] has reached the forefront of image synthesis, gaining recognition as the state-of-the-art generator for high-quality images and becoming the de-facto ...
arXiv:2202.14020v1
fatcat:qu3plbdnszdujcwxwq3zizysje
Improved StyleGAN Embedding: Where are the Good Latents?
[article]
2021
arXiv
pre-print
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First, we introduce a new normalized space to analyze the diversity and the quality of the reconstructed latent codes. ...
Second, we propose an improved embedding algorithm using a novel regularization method based on our analysis. Finally, we analyze the quality of different embedding algorithms. ...
Our main contributions are: • the introduction of and + space for analyzing and regularizing StyleGAN embeddings. • a new regularizer for StyleGAN embedding that provides the best trade-off between reconstruction ...
arXiv:2012.09036v3
fatcat:adyjsrwehna77i77vu2bstrhc4
One Model to Reconstruct Them All: A Novel Way to Use the Stochastic Noise in StyleGAN
[article]
2020
arXiv
pre-print
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Different works have improved the limited understanding of the latent space of GANs by embedding images into specific GAN architectures to reconstruct the original images. ...
Furthermore, we provide new insights about the significance and capabilities of noise inputs of the well-known StyleGAN architecture. ...
Acknowledgement We wish to thank the Wildenstein Plattner Institute for supplying us with data and a research objective that ultimately led to the results published in this paper. ...
arXiv:2010.11113v1
fatcat:rwwygcfplfgypbrsfzfftqln5y
An Overview of Face Manipulation Detection
2020
Journal of Cyber Security
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On this basis, the challenges for the research and the potential future directions are analyzed and discussed. ...
Due to the power of editing tools, new types of fake faces are being created and synthesized, which has attracted great attention on social media. ...
It generates two different qualities of image: 64 × 64 (low-quality images), and 128 × 128 (high-quality images). ...
doi:10.32604/jcs.2020.014310
fatcat:fcu67ro5pvcg7eputna6dlf5eu
Fine-Grained Control of Artistic Styles in Image Generation
[article]
2021
arXiv
pre-print
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Experiments show that our method not only precisely controls the fine-grained artistic style but also improves image quality over vanilla StyleGAN as measured by FID. ...
Few works have been explored to capture the continuous spectrum of styles and apply it to a style generation task. ...
It was proved to be able to significantly improve the quality of class conditional image generation. ...
arXiv:2110.10278v2
fatcat:fovdj7j4cfhs5iyf4ukletf7ta
Thermal Face Generation using StyleGAN
2021
IEEE Access
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In addition, a quantitative analysis will be carried out to analyze the quality of the images generated. ...
Please observe in Figure 3 the evolution of the GAN in recent years and how the quality and resolution of face generation have improved. ...
doi:10.1109/access.2021.3085423
fatcat:2couovxccfhlxneh3kgojyispa
Transforming the Latent Space of StyleGAN for Real Face Editing
[article]
2022
arXiv
pre-print
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Our modified StyleGAN maintains the state-of-the-art generation quality of the original StyleGAN with moderately better diversity. ...
The gap between the W space and the W+ space demands an undesirable trade-off between reconstruction quality and editing quality. ...
Acknowledgments We would like to show our gratitude to Jun Fu for advice on the design of figures; Jiayi Liu, Shen Wang, and Zhihang Li for paper reviews. ...
arXiv:2105.14230v2
fatcat:zmqmpuykyndn3hrckd6irsube4
StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets
[article]
2022
arXiv
pre-print
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Our final model, StyleGAN-XL, sets a new state-of-the-art on large-scale image synthesis and is the first to generate images at a resolution of 1024^2 at such a dataset scale. ...
StyleGAN in particular sets new standards for generative modeling regarding image quality and controllability. ...
ACKNOWLEDGMENTS We acknowledge the financial support by the BMWi in the project KI Delta Learning (project number 19A19013O). Andreas Geiger was supported by the ERC Starting Grant LEGO-3D (850533). ...
arXiv:2202.00273v2
fatcat:ecxudyms7bf77d7jwwxro362tm
Dermoscopy Image Classification based on StyleGAN and DenseNet201
2021
IEEE Access
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The proposed method improves the accuracy of skin lesion image classification, assists dermatologists in determining and diagnosing different types of skin lesions, and analyzes skin lesions at different ...
The proposed framework redesigns the structure of style control and noise input in the original generator and reconstructs the discriminator to adjust the generator to efficiently synthesize high-quality ...
ACKNOWLEDGMENT Chen Zhao contributed to the writing and editing of the article and the operation and editing of the code. ...
doi:10.1109/access.2021.3049600
fatcat:2mynogmtsrfbtl7m46fwjryamq
Semi-Supervised StyleGAN for Disentanglement Learning
[article]
2020
arXiv
pre-print
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2020 pre-print arXiv:2003.03461v2 fatcat:yc22shsicfgcpiv22aqdqybfmyOther Versions
We investigate the impact of limited supervision and find that using only 0.25%~2.5% of labeled data is sufficient for good disentanglement on both synthetic and real datasets. ...
Current disentanglement methods face several inherent limitations: difficulty with high-resolution images, primarily focusing on learning disentangled representations, and non-identifiability due to the ...
We have also increased the network sizes of disentangled VAEs and InfoGAN-CR, but the improvement of image quality still cannot close the gap with Info-StyleGAN, as shown in Appendix B.4. ...
arXiv:2003.03461v3
fatcat:qjavkgece5evbku3rfon55mqr4
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