GAN Model

Generative Adversarial Networks (GANs) are a class of deep learning models designed to generate new data instances that resemble a training dataset. Current research focuses on improving GAN training stability, addressing issues like mode collapse, and enhancing controllability over generated outputs, often through integration with other models like diffusion models or reinforcement learning. Applications span diverse fields, including image generation and editing, drug discovery, and data augmentation for tasks where real data is scarce or expensive to obtain, significantly impacting various scientific domains and practical applications. Recent work also highlights the exploration of alternative training methods to improve efficiency and quality, moving beyond traditional adversarial training.

Papers

May 22, 2023

Phased Data Augmentation for Training a Likelihood-Based Generative Model with Limited Data
Yuta Mimura
Generative Model Data Augmentation GAN Model Limited Data Data Augmentation Technique GAN Architecture Likelihood Based Generative

May 17, 2023

May 16, 2023

Generative Adversarial Networks for Brain Images Synthesis: A Review
Firoozeh Shomal Zadeh, Sevda Molani, Maysam Orouskhani, Marziyeh Rezaei, Mehrzad Shafiei, Hossein Abbasi
Generative Adversarial Network Narrative Review GAN Model Multi Modality Imaging Brain Image Synthesis

May 14, 2023

Local Convergence of Gradient Descent-Ascent for Training Generative Adversarial Networks
Evan Becker, Parthe Pandit, Sundeep Rangan, Alyson K. Fletcher
Generative Model Generative Adversarial Network GAN Model Generative Adversarial Local Convergence Gradient Descent Ascent

May 13, 2023

CBAGAN-RRT: Convolutional Block Attention Generative Adversarial Network for Sampling-Based Path Planning
Abhinav Sagar, Sai Teja Gilukara
GAN Model Convolutional Block Attention Path Planning Algorithm Sampling Based Path Planning Sampling Based Path

May 12, 2023

Beware of diffusion models for synthesizing medical images -- A comparison with GANs in terms of memorizing brain MRI and chest x-ray images
Muhammad Usman Akbar, Wuhao Wang, Anders Eklund
Diffusion Model Medical Image GAN Model Synthetic Image Chest X Ray Chest X Ray Image Training Image Brain MRI

May 10, 2023

Post-training Model Quantization Using GANs for Synthetic Data Generation
Athanasios Masouris, Mansi Sharma, Adrian Boguszewski, Alexander Kozlov, Zhuo Wu, Raymond Lo
Generative Adversarial Network Synthetic Data GAN Model Synthetic Data Generation Post Training Product Quantization Model Re Quantization

May 7, 2023

SynthMix: Mixing up Aligned Synthesis for Medical Cross-Modality Domain Adaptation
Xinwen Zhang, Chaoyi Zhang, Dongnan Liu, Qianbi Yu, Weidong Cai
Domain Adaptation GAN Model Synthetic Image Critical Synthesis GAN Training Segmentation Benchmark Adversarial Method

May 6, 2023

A Sea-Land Clutter Classification Framework for Over-the-Horizon-Radar Based on Weighted Loss Semi-supervised GAN
Xiaoxuan Zhang, Zengfu Wang, Kun Lu, Quan Pan, Yang Li
GAN Model Radar Signal Unlabeled Sample Infrared Clutter Background Weighted Loss Land Clutter

May 5, 2023

Synthesizing Cough Audio with GAN for COVID-19 Detection
Yahya Saleh
Generative Model GAN Model COVID 19 Detection Medical Datasets Data Synthesis Synthesized Image Cough Audio COVID 19 Cough

May 4, 2023

A Comparative Study of GAN-Generated Handwriting Images and MNIST Images using t-SNE Visualization
Okan Düzyel
Comparative Study GAN Model Synthetic Image MNIST Dataset SNE Algorithm GAN Generated Image MNIST Image

April 29, 2023

LD-GAN: Low-Dimensional Generative Adversarial Network for Spectral Image Generation with Variance Regularization
Emmanuel Martinez, Roman Jacome, Alejandra Hernandez-Rojas, Henry Arguello
GAN Model GAN Training Variance Regularization

April 27, 2023

ContraNeRF: 3D-Aware Generative Model via Contrastive Learning with Unsupervised Implicit Pose Embedding
Mijeong Kim, Hyunjoon Lee, Bohyung Han
Contrastive Learning Neural Radiance Field GAN Model Generative Modeling Unsupervised 3D Pose

April 26, 2023

TR0N: Translator Networks for 0-Shot Plug-and-Play Conditional Generation
Zhaoyan Liu, Noel Vouitsis, Satya Krishna Gorti, Jimmy Ba, Gabriel Loaiza-Ganem
GAN Model Text to Image Model Pre Trained Generative Model Conditional Generation Translation Architecture

April 24, 2023

ComGAN: Toward GANs Exploiting Multiple Samples
Haeone Lee
GAN Model Ct Gan

April 20, 2023

Adaptive Consensus Optimization Method for GANs
Sachin Kumar Danisetty, Santhosh Reddy Mylaram, Pawan Kumar
Generative Adversarial Network Image Generation GAN Model Second Order Order Gradient Inception Score Consensus Based Optimization

GAN Model

Papers

Phased Data Augmentation for Training a Likelihood-Based Generative Model with Limited Data

JoIN: Joint GANs Inversion for Intrinsic Image Decomposition

Progressive Learning of 3D Reconstruction Network from 2D GAN Data

Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold

MultiPlaneNeRF: Neural Radiance Field with Non-Trainable Representation

Learning Pose Image Manifolds Using Geometry-Preserving GANs and Elasticae

Generative Adversarial Networks for Brain Images Synthesis: A Review

Local Convergence of Gradient Descent-Ascent for Training Generative Adversarial Networks

CBAGAN-RRT: Convolutional Block Attention Generative Adversarial Network for Sampling-Based Path Planning

Beware of diffusion models for synthesizing medical images -- A comparison with GANs in terms of memorizing brain MRI and chest x-ray images

Post-training Model Quantization Using GANs for Synthetic Data Generation

SynthMix: Mixing up Aligned Synthesis for Medical Cross-Modality Domain Adaptation

A Sea-Land Clutter Classification Framework for Over-the-Horizon-Radar Based on Weighted Loss Semi-supervised GAN

Synthesizing Cough Audio with GAN for COVID-19 Detection

A Comparative Study of GAN-Generated Handwriting Images and MNIST Images using t-SNE Visualization

LD-GAN: Low-Dimensional Generative Adversarial Network for Spectral Image Generation with Variance Regularization

ContraNeRF: 3D-Aware Generative Model via Contrastive Learning with Unsupervised Implicit Pose Embedding

TR0N: Translator Networks for 0-Shot Plug-and-Play Conditional Generation

ComGAN: Toward GANs Exploiting Multiple Samples

Adaptive Consensus Optimization Method for GANs