GAN Has Really Influenced A Lot Of Research
GAN has been used in many studies since it was proposed to Ian J. Goodfellow. It is said to be a lot, but do you know how many of them are actually coming out in a month?
In arXiv alone, we are submitting about 90 (March), 70 (April), 60 (May), 100 (June), and 90 (July). The average number of submissions is 82 in January, and since we are receiving about 2-3 submissions a day, you can see that the number is quite high. If you include other journals, you can expect to see 3 to 5 a day. The momentum is still going strong. Even more frightening is not the GAN, but the AI-related papers, which scares me just thinking about how many papers are coming out in a day.
So let's take a look at the GAN-related papers during the August period. GAN papers are coming out at this pace. It's hard to just keep up with them.
8/31
GIF: Generative Interpretable Faces
8/30
8/29
Dual Attention GANs for Semantic Image Synthesis
8/28
Relational Data Synthesis using Generative Adversarial Networks: A Design Space Exploration
Adaptive WGAN with loss change rate balancing
8/27
Non-Parallel Voice Conversion with Augmented Classifier Star Generative Adversarial Networks
Direct Adversarial Training for GANs
8/26
MutaGAN A Seq2seq GAN Framework to Predict Mutations of Evolving Protein Populations
Self-Supervised Human Activity Recognition by Augmenting Generative Adversarial Networks
Anime-to-Real Clothing Cosplay Costume Generation via Image-to-Image Translation
CAN: A Causal Adversarial Network for Learning Observational and Interventional Distributions
8/25
GAN Slimming All-in-One GAN Compression by A Unified Optimization Framework
8/24
CSCL Critical Semantic-Consistent Learning for Unsupervised Domain Adaptation
Fidelity-Controllable Extreme Image Compression with Generative Adversarial Networks
8/23
Ptolemy Architecture Support for Robust Deep Learning
8/22
8/21
TAnoGAN Time Series Anomaly Detection with Generative Adversarial Networks
CDE-GAN Cooperative Dual Evolution Based Generative Adversarial Network
DTDN Dual-task De-raining Network
8/20
Conditional Wasserstein GAN-based Oversampling of Tabular Data for Imbalanced Learning
8/19
Improving Text to Image Generation using Mode-seeking Function
Regularization And Normalization For Generative Adversarial Networks A Review
Blur-Attention A boosting mechanism for non-uniform blurred image restoration
8/18
Generative Adversarial Networks for Spatio-temporal Data A Survey
CinC-GAN for Effective F0 prediction for Whisper-to-Normal Speech Conversion
8/17
Robust Autoencoder GAN for Cryo-EM Image Denoising
Neutral Face Game Character Auto-Creation via PokerFace-GAN
Semi-Supervised Learning with GANs for Device-Free Fingerprinting Indoor Localization
8/16
8/15
Evaluating Lossy Compression Rates of Deep Generative Models
8/14
8/13
Synthesizing Property & Casualty Ratemaking Datasets using Generative Adversarial Networks
DF-GAN Deep Fusion Generative Adversarial Networks for Text-to-Image Synthesis
8/12
Mitigating Dataset Imbalance via Joint Generation and Classification
Improving Stability of LS-GANs for Audio and Speech Signals
Improving the Performance of Fine-Grain Image Classifiers via Generative Data Augmentation
VAW-GAN for Singing Voice Conversion with Non-parallel Training Data
8/11
IGANI Iterative Generative Adversarial Networks for Imputation Applied to Prediction of Traffic Data
R-MNet A Perceptual Adversarial Network for Image Inpainting
8/10
T-GD Transferable GAN-generated Images Detection Framework
8/9
Intervention Generative Adversarial Networks
8/8
Non-Adversarial Imitation Learning and its Connections to Adversarial Methods
8/7
Fighting Deepfake by Exposing the Convolutional Traces on Images
Improving the Speed and Quality of GAN by Adversarial Training
Generative Adversarial Network for Radar Signal Generation
Oversampling Adversarial Network for Class-Imbalanced Fault Diagnosis
8/6
Generative Adversarial Network-Based Sinogram Super-Resolution for Computed Tomography Imaging
Generative Adversarial Networks for Image and Video Synthesis Algorithms and Applications
HooliGAN Robust High Quality Neural Vocoding
F2GAN Fusing-and-Filling GAN for Few-shot Image Generation
8/5
GL-GAN Adaptive Global and Local Bilevel Optimization model of Image Generation
Annealing Genetic GAN for Minority Oversampling
A feature-supervised generative adversarial network for environmental monitoring during hazy days
8/4
Hierarchical Amortized Training for Memory-efficient High Resolution 3D GAN
Multimodal Image-to-Image Translation via a Single Generative Adversarial Network
TOAD-GAN Coherent Style Level Generation from a Single Example
8/3
Generative Adversarial Networks for Synthesizing InSAR Patches
A Spectral Energy Distance for Parallel Speech Synthesis
Analyzing the Components of Distributed Coevolutionary GAN Training
Learning Based Methods for Traffic Matrix Estimation from Link Measurements
8/2
Point Cloud Completion by Learning Shape Priors
8/1
Joint Generative Learning and Super-Resolution For Real-World Camera-Screen Degradation
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