On the public citation graph

Exploring the Effect of High-frequency Components in GANs Training

https://doi.org/10.1145/3578585
0 signed · 51 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/j.patcog.2022.108552openalex-snapshot
CSCNet: Contextual semantic consistency network for trajectory prediction in crowded spaces
inferredcites →https://doi.org/10.1109/access.2019.2941272openalex-snapshot
ResAttr-GAN: Unpaired Deep Residual Attributes Learning for Multi-Domain Face Image Translation
inferredcites →https://doi.org/10.1109/cvpr.1993.341010openalex-snapshot
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition
inferredcites →https://doi.org/10.1109/cvpr.2019.00453openalex-snapshot
A Style-Based Generator Architecture for Generative Adversarial Networks
inferredcites →https://doi.org/10.1109/cvpr.2019.01243openalex-snapshot
Self-Supervised GANs via Auxiliary Rotation Loss
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00791openalex-snapshot
Watch Your Up-Convolution: CNN Based Generative Deep Neural Networks Are Failing to Reproduce Spectral Distributions
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00813openalex-snapshot
Analyzing and Improving the Image Quality of StyleGAN
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00871openalex-snapshot
High-Frequency Component Helps Explain the Generalization of Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00975openalex-snapshot
Momentum Contrast for Unsupervised Visual Representation Learning
inferredcites →https://doi.org/10.1109/iccv.2017.304openalex-snapshot
Least Squares Generative Adversarial Networks
inferredcites →https://doi.org/10.1109/iccv48922.2021.00631openalex-snapshot
Gradient Normalization for Generative Adversarial Networks
inferredcites →https://doi.org/10.1109/iccv48922.2021.00667openalex-snapshot
F-Drop&Match: GANs with a Dead Zone in the High-Frequency Domain
inferredcites →https://doi.org/10.1109/tai.2021.3071642openalex-snapshot
Interpreting the Latent Space of GANs via Measuring Decoupling
inferredcites →https://doi.org/10.1109/tetci.2022.3193373openalex-snapshot
A New Perspective on Stabilizing GANs Training: Direct Adversarial Training
inferredcites →https://doi.org/10.1109/tip.2018.2836316openalex-snapshot
Perceptual Adversarial Networks for Image-to-Image Transformation
inferredcites →https://doi.org/10.1109/tip.2021.3049346openalex-snapshot
On Data Augmentation for GAN Training
inferredcites →https://doi.org/10.1109/tnnls.2020.2978501openalex-snapshot
PEPSI++: Fast and Lightweight Network for Image Inpainting
inferredcites →https://doi.org/10.1109/wacv48630.2021.00323openalex-snapshot
LT-GAN: Self-Supervised GAN with Latent Transformation Detection
inferredcites →https://doi.org/10.1109/wifs47025.2019.9035107openalex-snapshot
Detecting and Simulating Artifacts in GAN Fake Images
inferredcites →https://doi.org/10.1145/3284750openalex-snapshot
CM-GANs
inferredcites →https://doi.org/10.1145/3337067openalex-snapshot
Synthesizing Facial Photometries and Corresponding Geometries Using Generative Adversarial Networks
inferredcites →https://doi.org/10.1145/3355397openalex-snapshot
U-Net Conditional GANs for Photo-Realistic and Identity-Preserving Facial Expression Synthesis
inferredcites →https://doi.org/10.1145/3424116openalex-snapshot
Conditional LSTM-GAN for Melody Generation from Lyrics
inferredcites →https://doi.org/10.1145/3468673openalex-snapshot
Learning to Fool the Speaker Recognition
inferredcites →https://doi.org/10.1145/3475872openalex-snapshot
Response Generation by Jointly Modeling Personalized Linguistic Styles and Emotions
inferredcites →https://doi.org/10.1145/3491225openalex-snapshot
JoT-GAN: A Framework for Jointly Training GAN and Person Re-Identification Model
inferredcites →https://doi.org/10.1145/3506852openalex-snapshot
A Novel Multi-Sample Generation Method for Adversarial Attacks
inferredcites →https://doi.org/10.1145/3569928openalex-snapshot
A Systematic Survey of Regularization and Normalization in GANs
inferredcites →https://doi.org/10.4208/cicp.oa-2020-0085openalex-snapshot
Frequency Principle: Fourier Analysis Sheds Light on Deep Neural Networks
inferredcites →https://doi.org/10.48550/arxiv.1606.00709openalex-snapshot
f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization
inferredcites →https://doi.org/10.48550/arxiv.1706.08500openalex-snapshot
GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium
inferredcites →https://doi.org/10.48550/arxiv.2006.06676openalex-snapshot
Training Generative Adversarial Networks with Limited Data
inferredcites →https://doi.org/10.48550/arxiv.2006.10738openalex-snapshot
Differentiable Augmentation for Data-Efficient GAN Training
inferredcites →https://doi.org/10.48550/arxiv.2106.04566openalex-snapshot
Data-Efficient Instance Generation from Instance Discrimination

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1016/j.acra.2025.03.015openalex-snapshot
Generating Synthetic T2*-Weighted Gradient Echo Images of the Knee with an Open-source Deep Learning Model
inferred← citeshttps://doi.org/10.1016/j.neucom.2024.129221openalex-snapshot
A photo cartoonization method based on text-to-image diffusion model
inferred← citeshttps://doi.org/10.1016/j.sigpro.2024.109576openalex-snapshot
Perceptual authentication hashing for digital images based on multi-domain feature fusion
inferred← citeshttps://doi.org/10.1029/2023wr036893openalex-snapshot
Integration of DDPM and ILUES for Simultaneous Identification of Contaminant Source Parameters and Non‐Gaussian Channelized Hydraulic Conductivity Field
inferred← citeshttps://doi.org/10.1109/access.2025.3585951openalex-snapshot
Applying Progressive Frequency Bands to Improve Image Quality and Training Stability of GAN
inferred← citeshttps://doi.org/10.1109/bigdia60676.2023.10429108openalex-snapshot
Real is not True: Backdoor Attacks Against Deepfake Detection
inferred← citeshttps://doi.org/10.1109/icarm62033.2024.10715759openalex-snapshot
Aircraft Skin Defect Detection Based on Fourier GAN for Data Augmentation
inferred← citeshttps://doi.org/10.1109/iccv51701.2025.00278openalex-snapshot
DisCoPatch: Taming Adversarially-Driven Batch Statistics for Improved Out-of-Distribution Detection
inferred← citeshttps://doi.org/10.1109/tcsvt.2024.3387451openalex-snapshot
Robust Unpaired Image Dehazing via Adversarial Deformation Constraint
inferred← citeshttps://doi.org/10.1109/tcsvt.2024.3485109openalex-snapshot
Peer Is Your Pillar: A Data-Unbalanced Conditional GANs for Few-Shot Image Generation
inferred← citeshttps://doi.org/10.1145/3581783.3612219openalex-snapshot
Semantic-Aware Generator and Low-level Feature Augmentation for Few-shot Image Generation
inferred← citeshttps://doi.org/10.1145/3697837openalex-snapshot
CTRNet++: Dual-Path Learning with Local-Global Context Modeling for Scene Text Removal
inferred← citeshttps://doi.org/10.1145/3702643openalex-snapshot
Reference-based In-loop Filter with Robust Neural Feature Transfer for Video Coding
inferred← citeshttps://doi.org/10.1145/3745786openalex-snapshot
Uniform Light Transformer for Person Re-identification under Complex Illumination
inferred← citeshttps://doi.org/10.21203/rs.3.rs-4537002/v1openalex-snapshot
Frequency domain characteristics and optimization of image generation for GANs
inferred← citeshttps://doi.org/10.2139/ssrn.6172563openalex-snapshot
BitVar: Revealing Deepfake Artifacts through Bit-Plane Temporal Variation Analysis
inferred← citeshttps://doi.org/10.23919/icact63878.2025.10936792openalex-snapshot
AI-Generated Image Detection Using Semantic Feature
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.