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FeGAN
<span title="2020-12-07">2020</span>
<i title="ACM">
Proceedings of the 21st International Middleware Conference
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In particular, FeGAN achieves up to 5× throughput gain with 1.5× less bandwidth compared to the state-of-the-art GAN distributed approach (named MD-GAN), while scaling to at least one order of magnitude ...
Existing approaches to distribute Generative Adversarial Networks (GANs) either (i) fail to scale for they typically put the two components of a GAN (the generator and the discriminator) on different machines ...
We propose FeGAN, a distributed middleware that enables GANs to scale and cope with GAN specific issues such as mode collapse and vanishing gradients. ...
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Technology Section of the White Paper on the Status and Future of Ground-based TeV Gamma-ray Astronomy
[article]
<span title="2008-10-24">2008</span>
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arXiv
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<span class="release-stage" >pre-print</span>
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The R&D for IACT could be finalized on a time scale of between 3 (IACTs). ...
high quantum efficiency, multi-anode photomultipliers, multi channel plates, Si photomultipliers, Geiger mode Si detectors, and hybrid photodetectors with semiconductor photocathodes such as GaAsP or In-GaN ...
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Extreme Face Inpainting with Sketch-Guided Conditional GAN
[article]
<span title="2021-05-13">2021</span>
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arXiv
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<span class="release-stage" >pre-print</span>
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In our proposed conditional GAN, we pass the conditional input in every layer of the encoder while maintaining consistency in the distributions between the learned weights and the incoming conditional ...
We propose to tackle this extreme inpainting task with a conditional Generative Adversarial Network (GAN) that utilizes structural information, such as edges, as a prior condition. ...
., N represent N input samples from different distributions p i (x i ), i = 1, ...N, t is the target, F are fake labels for generated images and R are real labels for ground truth images. min G L GAN = ...
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An Unsupervised Approach towards Varying Human Skin Tone Using Generative Adversarial Networks
[article]
<span title="2020-10-30">2020</span>
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arXiv
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<span class="release-stage" >pre-print</span>
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SC-FEGAN [19] proposed a method that generates images as per user provided inputs e.g., in the form of free-form mask, sketch or color. This is also based on GAN. ...
, to be coming from the data distribution rather than the generator distribution. ...
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Fashion Editing with Adversarial Parsing Learning
[article]
<span title="2019-09-28">2019</span>
<i >
arXiv
</i>
<span class="release-stage" >pre-print</span>
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<span title="2019-06-03">2019</span>
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A new attention normalization layer is further applied at multiple scales in the decoder of the inpainting network to enhance the quality of the synthesized image. ...
In this paper, we propose a novel Fashion Editing Generative Adversarial Network (FE-GAN), which is capable of manipulating fashion images by free-form sketches and sparse color strokes. ...
Recently, another face editing system SC-FEGAN [32] is proposed, which generates high-quality images when users provide the free-form as input. However, SC-FEGAN is designed for face editing. ...
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Complement Face Forensic Detection and Localization with FacialLandmarks
[article]
<span title="2019-10-12">2019</span>
<i >
arXiv
</i>
<span class="release-stage" >pre-print</span>
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The fake images are generated from various GANs methods, namely DCGANs, LSGANs, BEGANs, WGAN-GP, ProGANs, and StyleGANs. ...
Recently, Generative Adversarial Networks (GANs) and image manipulating methods are becoming more powerful and can produce highly realistic face images beyond human recognition which have raised significant ...
Generative Adversarial Networks (GANs) Generative Adversarial Networks (GANs) [11] are generative models that consist of two competing networks: a generator and a discriminator. ...
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Diverse facial inpainting guided by exemplars
[article]
<span title="2022-02-15">2022</span>
<i >
arXiv
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<span class="release-stage" >pre-print</span>
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This paper introduces EXE-GAN, a novel diverse and interactive facial inpainting framework, which can not only preserve the high-quality visual effect of the whole image but also complete the face image ...
comparison of our EXE-GAN with SC-FEGAN [11] and LaFIn [10] . ...
We then randomly distribute one of these groups to a user. ...
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A State-of-the-Art Review on Image Synthesis with Generative Adversarial Networks
<span title="">2020</span>
<i title="Institute of Electrical and Electronics Engineers (IEEE)">
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The purpose of this review is to provide insights into the research on GANs and to present the various applications based on GANs in different scenarios. ...
Then, we discuss the challenges faced by GANs and introduce some methods to deal with these problems. ...
Moreover, two domains that share the same content distribution with different style distributions. ...
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The Image Local Autoregressive Transformer
[article]
<span title="2021-10-18">2021</span>
<i >
arXiv
</i>
<span class="release-stage" >pre-print</span>
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<span title="2021-06-04">2021</span>
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Recently, AutoRegressive (AR) models for the whole image generation empowered by transformers have achieved comparable or even better performance to Generative Adversarial Networks (GANs). ...
(a) Reference (b) Target (e) Posewarp (f) MR-Net (g) Taming (h) iLAT (c) PATN (d) PN-GAN (a) Reference (b) Target (c) Taming (d) Taming* (f) iLAT (e) SC-FEGAN
Qualitative Results Non-Iconic Pose Guiding ...
Besides, inpainting-based SC-FEGAN achieves unstable results in rows 3 and 4. ...
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Generative Adversarial Network for Multi Facial Attributes Translation
<span title="">2021</span>
<i title="Institute of Electrical and Electronics Engineers (IEEE)">
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The smaller the value of FID, the closer the two Gaussian distributions are, and the better the performance of GAN. ...
MMD can measure the distance between the training dataset distribution and the generated dataset and then use this distance as the evaluation index of GAN. ...
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MichiGAN: Multi-Input-Conditioned Hair Image Generation for Portrait Editing
[article]
<span title="2020-10-30">2020</span>
<i >
arXiv
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In this paper, we present MichiGAN (Multi-Input-Conditioned Hair Image GAN), a novel conditional image generation method for interactive portrait hair manipulation. ...
Despite the recent success of face image generation with GANs, conditional hair editing remains challenging due to the under-explored complexity of its geometry and appearance. ...
Starting from a random latent code, GANs can generate fake images with the same distribution as natural images in a target domain. ...
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Deep Plastic Surgery: Robust and Controllable Image Editing with Human-Drawn Sketches
[article]
<span title="2020-01-09">2020</span>
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arXiv
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In AdaIN [9] , styles are modelled as the mean and variance of the features and are transferred via distribution scaling and shifting (i.e., normalization+denormalization). ...
of SC-FEGAN. ...
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Studying Short-Range Correlations with Real Photon Beams at GlueX
[article]
<span title="2020-10-03">2020</span>
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arXiv
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We have chosen to distribute the beam time between the different targets so as to obtain comparable discriminating power for transparency studies and scaling of SRC pairs; the larger nuclei have larger ...
We refer to these as the 'SRC scaling coefficients'. ...
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ForgeryNet: A Versatile Benchmark for Comprehensive Forgery Analysis
[article]
<span title="2021-07-14">2021</span>
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arXiv
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ForgeryNet is by far the largest publicly available deep face forgery dataset in terms of data-scale (2.9 million images, 221,247 videos), manipulations (7 image-level approaches, 8 video-level approaches ...
MaskGAN [37]
m,i/i
GAN
M/M
editing record
512*512
portraits,mask
SC-FEGAN [34]
s,i/i
GAN
M/M
sketch record
512*512
portraits,sketch
DiscoFaceGAN [17]
i/i
CG+GAN M/M
3dmm attributes
1024 ...
ID-replaced DeepFakes FSGAN
BlendFace FaceShifter ID-remained Target (a) (b) StarGAN2 MaskGAN StyleGAN2 SC-FEGAN DiscoFace GAN 2)
ATVG-Net FirstOrder Motion Talking-headVideo 1) 2) 1) 3) SBS DSS ! ...
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DeFLOCNet: Deep Image Editing via Flexible Low-level Controls
[article]
<span title="2021-03-23">2021</span>
<i >
arXiv
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<span class="release-stage" >pre-print</span>
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GANs have a lasting influence on image editing development. In [22] , Invertible Conditional GANs are proposed to control high-level attributes of generated faces. ...
We set different numbers of injection operations in the fusion branch for each scale, respectively. ...
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