GAN Generator

GAN generators are neural networks designed to synthesize realistic data, primarily images, by learning the underlying distribution of a training dataset. Current research emphasizes improving the controllability and fidelity of generated data, focusing on architectures like StyleGAN and incorporating techniques such as wavelet transforms for efficient feature extraction and latent space manipulation for targeted image editing. These advancements are significant for applications ranging from medical image generation to augmenting datasets for downstream tasks like image segmentation and anomaly detection, ultimately addressing data scarcity and improving the performance of various computer vision models.

Papers

February 22, 2024

Gradual Residuals Alignment: A Dual-Stream Framework for GAN Inversion and Image Attribute Editing
Hao Li, Mengqi Huang, Lei Zhang, Bo Hu, Yi Liu, Zhendong Mao
GAN Model GAN Inversion Dual Stream GAN Generator Detail Preservation

December 10, 2023

RadImageGAN -- A Multi-modal Dataset-Scale Generative AI for Medical Imaging
Zelong Liu, Alexander Zhou, Arnold Yang, Alara Yilmaz, Maxwell Yoo, Mikey Sullivan, Catherine Zhang, James Grant, Daiqing Li, Zahi A. Fayad, Sean Huver, Timothy Deyer, Xueyan Mei
Multi Modal Medical Imaging Radiology Report Generation GAN Generator Radiology Report Datasets

November 9, 2023

L-WaveBlock: A Novel Feature Extractor Leveraging Wavelets for Generative Adversarial Networks
Mirat Shah, Vansh Jain, Anmol Chokshi, Guruprasad Parasnis, Pramod Bide
Generative Adversarial Network Feature Extraction Discrete Wavelet Transform GAN Generator

June 19, 2023

Unsupervised Text Embedding Space Generation Using Generative Adversarial Networks for Text Synthesis
Jun-Min Lee, Tae-Bin Ha
Generative Adversarial Network Language Generation GAN Generator Unsupervised Sentence

March 10, 2023

Self-Supervised One-Shot Learning for Automatic Segmentation of StyleGAN Images
Ankit Manerikar, Avinash C. Kak
LeArning Abstract Self Supervised Synthetic Image StyleGAN Latent Automatic Segmentation One Shot Segmentation GAN Generator

February 4, 2023

Model Stitching and Visualization How GAN Generators can Invert Networks in Real-Time
Rudolf Herdt, Maximilian Schmidt, Daniel Otero Baguer, Jean Le'Clerc Arrastia, Peter Maass
Digital Pathology Interactive Visualization Semantic Segmentation Network GAN Generator Invertible Network 1D Convolution Model Stitching

January 12, 2023

GH-Feat: Learning Versatile Generative Hierarchical Features from GANs
Yinghao Xu, Yujun Shen, Jiapeng Zhu, Ceyuan Yang, Bolei Zhou
Generative Adversarial Network Generative Learning GAN Generator Hierarchical Generative

January 11, 2023

LinkGAN: Linking GAN Latents to Pixels for Controllable Image Synthesis
Jiapeng Zhu, Ceyuan Yang, Yujun Shen, Zifan Shi, Bo Dai, Deli Zhao, Qifeng Chen
Pixel Level Tetromino Pixel GAN Inversion GAN Training Latent Code GAN Generator Controllable Image Synthesis

December 8, 2022

Diffusion Guided Domain Adaptation of Image Generators
Kunpeng Song, Ligong Han, Bingchen Liu, Dimitris Metaxas, Ahmed Elgammal
Text to Image Diffusion Model Pre Trained Diffusion Model Image Generator GAN Generator Domain Diffusion Generation Domain

November 6, 2022

Distilling Representations from GAN Generator via Squeeze and Span
Yu Yang, Xiaotian Cheng, Chang Liu, Hakan Bilen, Xiangyang Ji
Generative Adversarial Network Self Supervised Representation Learning GAN Generator Squeeze Flow Substitute Span

September 5, 2022

Dynamics of Fourier Modes in Torus Generative Adversarial Networks
Ángel González-Prieto, Alberto Mozo, Edgar Talavera, Sandra Gómez-Canaval
Generative Adversarial Network GAN Model Periodic Orbit Motor Augmented Mode GAN Generator

August 25, 2022

High-Fidelity Image Inpainting with GAN Inversion
Yongsheng Yu, Libo Zhang, Heng Fan, Tiejian Luo
High Resolution Image GAN Inversion High Fidelity Texture GAN Generator

August 18, 2022

Generating Synthetic Clinical Data that Capture Class Imbalanced Distributions with Generative Adversarial Networks: Example using Antiretroviral Therapy for HIV
Nicholas I-Hsien Kuo, Federico Garcia, Anders Sönnerborg, Maurizio Zazzi, Michael Böhm, Rolf Kaiser, Mark Polizzotto, Louisa Jorm, Sebastiano Barbieri
Generative Adversarial Network Class Imbalanced Data GAN Generator Synthetic Medical Data

August 3, 2022

Free-HeadGAN: Neural Talking Head Synthesis with Explicit Gaze Control
Michail Christos Doukas, Evangelos Ververas, Viktoriia Sharmanska, Stefanos Zafeiriou
Neural Topic Head Synthesis GAN Generator Generative Performance Gaze Control

June 9, 2022

Reconstruct Face from Features Using GAN Generator as a Distribution Constraint
Xingbo Dong, Zhihui Miao, Lan Ma, Jiajun Shen, Zhe Jin, Zhenhua Guo, Andrew Beng Jin Teoh
Image Generation Face Recognition Feature Wise Face Reconstruction GAN Generator Face Generator Constrained Distribution

May 5, 2022

Generative Adversarial Network Based Synthetic Learning and a Novel Domain Relevant Loss Term for Spine Radiographs
Ethan Schonfeld, Anand Veeravagu
Generative Adversarial Network GAN Training GAN Generator Spinal X Ray Domain Loss

April 5, 2022

LatentGAN Autoencoder: Learning Disentangled Latent Distribution
Sanket Kalwar, Animikh Aich, Tanay Dixit
LeArning Abstract Supervised Autoencoder Latent Vector GAN Generator

February 21, 2022

ALGAN: Anomaly Detection by Generating Pseudo Anomalous Data via Latent Variables
Hironori Murase, Kenji Fukumizu
Anomaly Detection Latent Variable Anomalous Data GAN Generator

December 17, 2021

Information-theoretic stochastic contrastive conditional GAN: InfoSCC-GAN
Vitaliy Kinakh, Mariia Drozdova, Guillaume Quétant, Tobias Golling, Slava Voloshynovskiy
Conditional Generative Adversarial Network C Gan Conditional GAN Information Theoretic Framework GAN Generator