Cycle Consistent Generative Adversarial Network

Cycle-consistent generative adversarial networks (CycleGANs) are a type of deep learning model designed for unsupervised image-to-image translation, learning mappings between different image domains without requiring paired training data. Current research focuses on improving CycleGAN performance, including faster convergence rates through explainability techniques and architectural modifications like incorporating Vision Transformers or UNets, as well as applying CycleGANs to diverse applications such as medical image enhancement, time-series anomaly detection, and robotic control. This versatility makes CycleGANs a significant tool for data augmentation, domain adaptation, and generating synthetic data in various fields, ultimately improving the efficiency and accuracy of downstream tasks.

Papers

October 31, 2024

Cycle-Constrained Adversarial Denoising Convolutional Network for PET Image Denoising: Multi-Dimensional Validation on Large Datasets with Reader Study and Real Low-Dose Data
Yucun Hou, Fenglin Zhan, Xin Cheng, Chenxi Li, Ziquan Yuan, Runze Liao, Haihao Wang, Jianlang Hua, Jing Wu, Jianyong Jiang
Image Denoising Positron Emission Tomography Large Datasets Multi Dimensional Evaluation Dose Positron Emission Tomography Cycle Consistent Generative Adversarial Network

November 10, 2023

Synthesizing Bidirectional Temporal States of Knee Osteoarthritis Radiographs with Cycle-Consistent Generative Adversarial Neural Networks
Fabi Prezja, Leevi Annala, Sampsa Kiiskinen, Suvi Lahtinen, Timo Ojala
CycleGAN Model Knee Osteoarthritis Diagnostic Model Cycle Consistent Generative Adversarial Network Based Assessment

July 12, 2023

Denoising Simulated Low-Field MRI (70mT) using Denoising Autoencoders (DAE) and Cycle-Consistent Generative Adversarial Networks (Cycle-GAN)
Fernando Vega, Abdoljalil Addeh, M. Ethan MacDonald
Denoising Autoencoder Cycle GAN Cycle Consistent Generative Adversarial Network Medical mT5 Low Field Magnetic Resonance Imaging

June 27, 2023

xAI-CycleGAN, a Cycle-Consistent Generative Assistive Network
Tibor Sloboda, Lukáš Hudec, Wanda Benešová
Saliency Map CycleGAN Model Unsupervised Image to Image Translation Cycle Consistent Generative Adversarial Network Generative Transformer Model

June 10, 2023

Vocoder-Free Non-Parallel Conversion of Whispered Speech With Masked Cycle-Consistent Generative Adversarial Networks
Dominik Wagner, Ilja Baumann, Tobias Bocklet
Generative Adversarial Network High Fidelity Vocoder Non Parallel Cycle Consistent Generative Adversarial Network Audio Waveform Whispered Speech

April 17, 2023

Two-stage MR Image Segmentation Method for Brain Tumors based on Attention Mechanism
Li Zhu, Jiawei Jiang, Lin Lu, Jin Li
Attention Mechanism Brain Tumor Segmentation Brain Tumor Cross Modality Multi Modal Magnetic Resonance Magnetic Resonance Imaging Segmentation Cycle Consistent Generative Adversarial Network

March 22, 2023

TSI-GAN: Unsupervised Time Series Anomaly Detection using Convolutional Cycle-Consistent Generative Adversarial Networks
Shyam Sundar Saravanan, Tie Luo, Mao Van Ngo
Anomaly Detection Unsupervised Anomaly Detection C Gan Temporal Pattern Unsupervised Time Series Anomaly Detection Input Time Series Cycle Consistent Generative Adversarial Network

March 3, 2023

Retinal Image Restoration using Transformer and Cycle-Consistent Generative Adversarial Network
Alnur Alimanov, Md Baharul Islam
Convolutional Neural Network Vision Transformer Transformer Based Fundus Image Vessel Segmentation Cycle Consistent Generative Adversarial Network

January 21, 2023

Counterfactual Explanation and Instance-Generation using Cycle-Consistent Generative Adversarial Networks
Tehseen Zia, Zeeshan Nisar, Shakeeb Murtaza
Generative Adversarial Network Image Classification Counterfactual Explanation Counterfactual Example Cycle Consistent Generative Adversarial Network Instance Generation

August 31, 2022

Segmentation-guided Domain Adaptation and Data Harmonization of Multi-device Retinal Optical Coherence Tomography using Cycle-Consistent Generative Adversarial Networks
Shuo Chen, Da Ma, Sieun Lee, Timothy T. L. Yu, Gavin Xu, Donghuan Lu, Karteek Popuri, Myeong Jin Ju, Marinko V. Sarunic, Mirza Faisal Beg
Optical Coherence Tomography Cycle Consistent Generative Adversarial Network Retinal Layer Data Harmonization Retinal Layer Segmentation Domain Adaptation Segmentation

August 30, 2022

Sim-to-Real Transfer of Robotic Assembly with Visual Inputs Using CycleGAN and Force Control
Chengjie Yuan, Yunlei Shi, Qian Feng, Chunyang Chang, Zhaopeng Chen, Alois Christian Knoll, Jianwei Zhang
CycleGAN Model Visual Input Robotic Assembly Force Control Sim to Real Transfer Training Robot Cycle Consistent Generative Adversarial Network Sim to Real Learning

March 4, 2022

UVCGAN: UNet Vision Transformer cycle-consistent GAN for unpaired image-to-image translation
Dmitrii Torbunov, Yi Huang, Haiwang Yu, Jin Huang, Shinjae Yoo, Meifeng Lin, Brett Viren, Yihui Ren
Unpaired Image to Image Translation Cycle Consistent Generative Adversarial Network Transformer Based UNet

March 2, 2022

On the application of generative adversarial networks for nonlinear modal analysis
G. Tsialiamanis, M. D. Champneys, N. Dervilis, D. J. Wagg, K. Worden
Generative Adversarial Network Application Proficiency Modal Analysis Cycle Consistent Generative Adversarial Network

November 23, 2021

Unsupervised COVID-19 Lesion Segmentation in CT Using Cycle Consistent Generative Adversarial Network
Chengyijue Fang, Yingao Liu, Mengqiu Liu, Xiaohui Qiu, Ying Liu, Yang Li, Jie Wen, Yidong Yang
Covid 19 Lesion Segmentation Cycle GAN Cycle Consistent Generative Adversarial Network

November 22, 2021

Cycle Consistent Probability Divergences Across Different Spaces
Zhengxin Zhang, Youssef Mroueh, Ziv Goldfeld, Bharath K. Sriperumbudur
Maximum Mean Discrepancy Bidirectional Encoder Representation Mixed Space Cycle Consistent Generative Adversarial Network Probability Divergence Optimal Discrepancy

Cycle Consistent Generative Adversarial Network

Papers

Cycle-Constrained Adversarial Denoising Convolutional Network for PET Image Denoising: Multi-Dimensional Validation on Large Datasets with Reader Study and Real Low-Dose Data

Synthesizing Bidirectional Temporal States of Knee Osteoarthritis Radiographs with Cycle-Consistent Generative Adversarial Neural Networks

Denoising Simulated Low-Field MRI (70mT) using Denoising Autoencoders (DAE) and Cycle-Consistent Generative Adversarial Networks (Cycle-GAN)

xAI-CycleGAN, a Cycle-Consistent Generative Assistive Network

Vocoder-Free Non-Parallel Conversion of Whispered Speech With Masked Cycle-Consistent Generative Adversarial Networks

Two-stage MR Image Segmentation Method for Brain Tumors based on Attention Mechanism

TSI-GAN: Unsupervised Time Series Anomaly Detection using Convolutional Cycle-Consistent Generative Adversarial Networks

Retinal Image Restoration using Transformer and Cycle-Consistent Generative Adversarial Network

Counterfactual Explanation and Instance-Generation using Cycle-Consistent Generative Adversarial Networks

Segmentation-guided Domain Adaptation and Data Harmonization of Multi-device Retinal Optical Coherence Tomography using Cycle-Consistent Generative Adversarial Networks

Sim-to-Real Transfer of Robotic Assembly with Visual Inputs Using CycleGAN and Force Control

UVCGAN: UNet Vision Transformer cycle-consistent GAN for unpaired image-to-image translation

On the application of generative adversarial networks for nonlinear modal analysis

Unsupervised COVID-19 Lesion Segmentation in CT Using Cycle Consistent Generative Adversarial Network

Cycle Consistent Probability Divergences Across Different Spaces