A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Filters
Generalized Visual Quality Assessment of GAN-Generated Face Images
[article]
2022
arXiv
pre-print
Preserved Fulltext
However, little work has been dedicated to automatic quality assessment of such GAN-generated face images (GFIs), even less have been devoted to generalized and robust quality assessment of GFIs generated ...
A number of successful GAN algorithms have been developed to produce vivid face images towards different application scenarios. ...
perception of HVS. Therefore, the image quality assessment (IQA) models that can predict the perceptual quality of GANgenerated face images (GFIs) are highly desirable. ...
arXiv:2201.11975v1
fatcat:bownbwjgljhtvbyjntjioeyfee
Going the Extra Mile in Face Image Quality Assessment: A Novel Database and Model
[article]
2023
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Note that this fulltext copy is not of the "primary" version of this work. The version it corresponds to is:
2022 pre-print arXiv:2207.04904v1 fatcat:bn5pttj5lvfobjb2yv6ihynto4
An accurate computational model for image quality assessment (IQA) benefits many vision applications, such as image filtering, image processing, and image generation. ...
Based on the database, we further propose a novel deep learning model to accurately predict face image quality, which, for the first time, explores the use of generative priors for IQA. ...
Subjective face image quality assessment We performed a large-scale subjective study to assess the visual quality of 20, 000 face images. ...
arXiv:2207.04904v2
fatcat:s7ijt5n265h4bieks4wzwhzcva
Use of Neural Signals to Evaluate the Quality of Generative Adversarial Network Performance in Facial Image Generation
[article]
2019
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Other Versions
We conclude that neural signals have potential applications for high quality, rapid evaluation of GANs in the context of visual image synthesis. ...
There is a growing interest in using generative adversarial networks (GANs) to produce image content that is indistinguishable from real images as judged by a typical person. ...
In short,
our Neuroscore conveys a measure of the visual quality of facial images generated from
GANs. ...
arXiv:1811.04172v2
fatcat:lzttzs5ucbbv7ebblmaxjth2oq
VFHQ: A High-Quality Dataset and Benchmark for Video Face Super-Resolution
[article]
2022
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
In this paper, we develop an automatic and scalable pipeline to collect a high-quality video face dataset (VFHQ), which contains over 16,000 high-fidelity clips of diverse interview scenarios. ...
quality. ...
This work is partially supported by the National Natural Science Foundation of China (61906184), the Joint Lab of CAS-HK, the Shenzhen Research Program (RCJC20200714114557087), the Shanghai Committee of ...
arXiv:2205.03409v1
fatcat:a7xtway2pzhjrlzfwa2aooqvzq
Restricted Black-box Adversarial Attack Against DeepFake Face Swapping
[article]
2022
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Extensive experiments impressively show that the proposed adversarial attack method makes the visual quality of DeepFake face images plummet so that they are easier to be detected by humans and algorithms ...
Moreover, we demonstrate that the proposed algorithm can be generalized to offer face image protection against various face translation methods. ...
both referenced and non-referenced image quality assessments on the face-swapped images. ...
arXiv:2204.12347v1
fatcat:76rcbkxadfbmpl2j7a3pekl3gi
Virtual Hairstyle Service Using GANs & Segmentation Mask (Hairstyle Transfer System)
2022
Electronics
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
The Flickr-Faces-HQ Dataset (FFHQ) and the CelebA-HQ datasets, which are highly diversified, high quality datasets of human faces images, are both used by our system. ...
To compensate for the shortcomings of the current state of the art, based on GAN-Style, we address and propose an approach to image blending, specifically for the issue of visual hairstyling to increase ...
Blending issues with the face and hair in generated face images are very challenging. The visual features of the face parts are not independent of each other. ...
doi:10.3390/electronics11203299
fatcat:t6mv2p473zbarleh6hoxotobi4
Optimal text-to-image synthesis model for generating portrait images using generative adversarial network techniques
2022
Indonesian Journal of Electrical Engineering and Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Deep fusion generative adversarial networks (DF-GAN) is the network that performs better than its peers, at multiple levels, like the generated image quality or the respect of the giving descriptive text ...
, for the purpose of generating probable human faces. ...
ACKNOWLEDGEMENTS This research was supported through computational resources of HPC-MARWAN (www.marwan.ma/hpc) provided by the National Center for Scientific and Technical Research (CNRST), Rabat, Morocco ...
doi:10.11591/ijeecs.v25.i2.pp972-979
fatcat:4f7uuua7cjgehnor6k32nzn3ha
Black-Box Attack against GAN-Generated Image Detector with Contrastive Perturbation
[article]
2022
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
High visual quality of the attacked images is also achieved. The source code will be available at https://github.com/ZXMMD/BAttGAND. ...
It is significant to assess the vulnerability of such forensic detectors against adversarial attacks. In this paper, we propose a new black-box attack method against GAN-generated image detectors. ...
high visual quality of the resulting images. ...
arXiv:2211.03509v1
fatcat:sxyia2wnzzd7vjrnazszxs4q6m
Editable Generative Adversarial Networks: Generating and Editing Faces Simultaneously
[article]
2018
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Recently, several studies attempt to tackle both novel face generation and attribute editing problem using a single solution. However, their image quality is still unsatisfactory. ...
We propose a novel framework for simultaneously generating and manipulating the face images with desired attributes. ...
For assessing the image generation quality, we compare our model with VAE/GAN, modified cGAN, and IcGAN using FID score. ...
arXiv:1807.07700v1
fatcat:4lishg6vlzdddb3a4ek5rfshjy
Attribute-Aware Generative Design with Generative Adversarial Networks
2020
IEEE Access
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Specifically, a design attribute GAN (DA-GAN) model is developed for automated generation of fashion product images with the desired visual attributes. ...
This paper explores the capabilities of generative adversarial networks (GAN) for automated, attribute-aware generative design of the visual attributes of a product. ...
ACKNOWLEDGMENT This work was partially supported by the FY20 TIER 1-Seed Grant/Proof of Concept Program sponsored by Northeastern University, Boston. ...
doi:10.1109/access.2020.3032280
fatcat:mjqzyf6olza5njnqfgzrjtu624
Assessing Eye Aesthetics for Automatic Multi-Reference Eye In-Painting
2020
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
With the wide use of artistic images, aesthetic quality assessment has been widely concerned. How to integrate aesthetics into image editing is still a problem worthy of discussion. ...
Then we propose a novel eye aesthetic and face semantic guided multi-reference eye inpainting GAN approach (AesGAN), which automatically selects the best reference under the guidance of eye aesthetics. ...
In addition, the eye aesthetic quality assessment can help us know the quality of the eyes in a face image. ...
doi:10.1109/cvpr42600.2020.01352
dblp:conf/cvpr/0001LTZ20
fatcat:77gdmtp46jf3tngdshlyx3s34a
Detecting Overfitting of Deep Generative Networks via Latent Recovery
2019
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
It is why it is not uncommon to include visualizations of training set nearest neighbors, to suggest generated images are not simply memorized. ...
State of the art deep generative networks have achieved such realism that they can be suspected of memorizing training images. ...
GAN Evaluation Metrics The Fréchet Inception Distance (FID), recently introduced in [16] , has become a standard for evaluating the quality of generated GAN images. ...
doi:10.1109/cvpr.2019.01153
dblp:conf/cvpr/WebsterRSJ19
fatcat:susfzplfgzf2dfahrv6iflv2we
Improving Consistency and Correctness of Sequence Inpainting using Semantically Guided Generative Adversarial Network
[article]
2017
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Other Versions
Though generic, our algorithm was targeted for inpainting on faces. ...
The conditional information also aids the generator network in GAN to produce sharper images compared to the original GAN formulation. This helps in achieving more appealing inpainting performance. ...
In future we wish to study the combination of advanced variants of GAN [1, 2] with semantic conditioning. ...
arXiv:1711.06106v2
fatcat:rnezme2eoramhfkspjlilzlrze
Audio-Visual Face Reenactment
[article]
2022
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Finally, we improve the visual quality of the generations by incorporating a carefully designed identity-aware generator module. ...
The identity-aware generator takes the source image and the warped motion features as input to generate a high-quality output with fine-grained details. ...
Audio-Visual Face Reenactment GAN We present Audio-Visual Face Reenactment GAN (AVFR-Gan), which takes a source image and a driving video plus audio to create high-quality talking head videos by preserving ...
arXiv:2210.02755v1
fatcat:jt7yjvn4uba73dotry2qaamzku
NeRF-GAN Distillation for Efficient 3D-Aware Generation with Convolutions
[article]
2023
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2023; you can also visit the original URL.
The file type is application/pdf.
Note that this fulltext copy is not of the "primary" version of this work. The version it corresponds to is:
2023 pre-print arXiv:2303.12865v1 fatcat:giyyheew3jex5i5g3wq5mvjmlqOther Versions
Pose-conditioned convolutional generative models struggle with high-quality 3D-consistent image generation from single-view datasets, due to their lack of sufficient 3D priors. ...
Recently, the integration of Neural Radiance Fields (NeRFs) and generative models, such as Generative Adversarial Networks (GANs), has transformed 3D-aware generation from single-view images. ...
Image Quality To assess the trade-off brought about by our convolutional generator, we next evaluate the quality of the generated images. ...
arXiv:2303.12865v3
fatcat:ulb2alfznjcwji6uxizyriib3i
« Previous
Showing results 1 — 15 out of 12,773 results