Cover Image

F-ANcGAN: An Attention-Enhanced Cycle Consistent Generative Adversarial Architecture for Synthetic Image Generation of Nanoparticles

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ajith, Varun, Pal, Anindya, Bhattacharya, Saumik, Ghosh, Sayantari
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Materials Science Machine Learning Image and Video Processing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SAGE-GAN: Towards Realistic and Robust Segmentation of Spatially Ordered Nanoparticles via Attention-Guided GANs
by: Pal, Anindya, et al.
Published: (2026)

Federated Self-Supervised Learning for One-Shot Cross-Modal and Cross-Imaging Technique Segmentation
by: Manna, Siladittya, et al.
Published: (2025)

Effects of Degradations on Deep Neural Network Architectures
by: Roy, Prasun, et al.
Published: (2018)

Separated Attention: An Improved Cycle GAN Based Under Water Image Enhancement Method
by: Ghosh, Tashmoy
Published: (2024)

3DAttGAN: A 3D Attention-based Generative Adversarial Network for Joint Space-Time Video Super-Resolution
by: Fu, Congrui, et al.
Published: (2024)

d-Sketch: Improving Visual Fidelity of Sketch-to-Image Translation with Pretrained Latent Diffusion Models without Retraining
by: Roy, Prasun, et al.
Published: (2025)

AV-GAN: Attention-Based Varifocal Generative Adversarial Network for Uneven Medical Image Translation
by: Li, Zexin, et al.
Published: (2024)

CycleGAN Models for MRI Image Translation
by: Czobit, Cassandra, et al.
Published: (2023)

An Attention-Enhanced Network with Joint Dehazing and Retinex-Based Enhancement for Underwater Images
by: Ray, Sahana, et al.
Published: (2026)

SINET: Sparsity-driven Interpretable Neural Network for Underwater Image Enhancement
by: Panda, Gargi, et al.
Published: (2024)

DestripeCycleGAN: Stripe Simulation CycleGAN for Unsupervised Infrared Image Destriping
by: Yang, Shiqi, et al.
Published: (2024)

COMIC: An Unsupervised Change Detection Method for Heterogeneous Remote Sensing Images Based on Copula Mixtures and Cycle-Consistent Adversarial Networks
by: Li, Chengxi, et al.
Published: (2023)

Image-to-Image Translation with Generative Adversarial Network for Electrical Resistance Tomography Reconstruction
by: Yan, Wejian
Published: (2025)

Leveraging Multimodal CycleGAN for the Generation of Anatomically Accurate Synthetic CT Scans from MRIs
by: Crespi, Leonardo, et al.
Published: (2024)

Using Diffusion Models to Generate Synthetic Labelled Data for Medical Image Segmentation
by: Saragih, Daniel, et al.
Published: (2023)

HyperKING: Quantum-Classical Generative Adversarial Networks for Hyperspectral Image Restoration
by: Lin, Chia-Hsiang, et al.
Published: (2025)

Synthetic Volumetric Data Generation Enables Zero-Shot Generalization of Foundation Models in 3D Medical Image Segmentation
by: Chakrabarty, Satrajit, et al.
Published: (2026)

Low-Light Image Enhancement Using Gamma Learning And Attention-Enabled Encoder-Decoder Networks
by: Debnath, Bibhabasu, et al.
Published: (2025)

Can Generative AI Replace Immunofluorescent Staining Processes? A Comparison Study of Synthetically Generated CellPainting Images from Brightfield
by: Xing, Xiaodan, et al.
Published: (2024)

Ultrasound Image Enhancement using CycleGAN and Perceptual Loss
by: Athreya, Shreeram, et al.
Published: (2023)

MITS-GAN: Safeguarding Medical Imaging from Tampering with Generative Adversarial Networks
by: Pasqualino, Giovanni, et al.
Published: (2024)

GAN-based Domain Adaptation for Image-aware Layout Generation in Advertising Poster Design
by: Xu, Chenchen, et al.
Published: (2026)

Enhancing Adversarial Training with Prior Knowledge Distillation for Robust Image Compression
by: Cao, Zhi, et al.
Published: (2024)

Synthetic Skull CT Generation with Generative Adversarial Networks to Train Deep Learning Models for Clinical Transcranial Ultrasound
by: Naftchi-Ardebili, Kasra, et al.
Published: (2023)

A Data Augmentation Pipeline to Generate Synthetic Labeled Datasets of 3D Echocardiography Images using a GAN
by: Tiago, Cristiana, et al.
Published: (2024)

Semantics Guided Disentangled GAN for Chest X-ray Image Rib Segmentation
by: Huang, Lili, et al.
Published: (2024)

$\mathbfΦ$-GAN: Physics-Inspired GAN for Generating SAR Images Under Limited Data
by: Zhang, Xidan, et al.
Published: (2025)

Industrial and Medical Anomaly Detection Through Cycle-Consistent Adversarial Networks
by: Bougaham, Arnaud, et al.
Published: (2023)

Beyond Data Scarcity Optimizing R3GAN for Medical Image Generation from Small Datasets
by: Pan, Tsung-Wei, et al.
Published: (2025)

Enhancing Early Diabetic Retinopathy Detection through Synthetic DR1 Image Generation: A StyleGAN3 Approach
by: Das, Sagarnil, et al.
Published: (2025)

S-CycleGAN: Semantic Segmentation Enhanced CT-Ultrasound Image-to-Image Translation for Robotic Ultrasonography
by: Song, Yuhan, et al.
Published: (2024)

AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks
by: Fu, Yonggan, et al.
Published: (2020)

Thermal Image Calibration and Correction using Unpaired Cycle-Consistent Adversarial Networks
by: Rajoli, Hossein, et al.
Published: (2024)

LSKSANet: A Novel Architecture for Remote Sensing Image Semantic Segmentation Leveraging Large Selective Kernel and Sparse Attention Mechanism
by: Fu, Miao, et al.
Published: (2024)

Intriguing Property and Counterfactual Explanation of GAN for Remote Sensing Image Generation
by: Su, Xingzhe, et al.
Published: (2023)

Generating Print-Ready Personalized AI Art Products from Minimal User Inputs
by: Pursell, Noah, et al.
Published: (2024)

UltraDfeGAN: Detail-Enhancing Generative Adversarial Networks for High-Fidelity Functional Ultrasound Synthesis
by: Li, Zhuo, et al.
Published: (2025)

Spatial-aware Attention Generative Adversarial Network for Semi-supervised Anomaly Detection in Medical Image
by: Zhang, Zerui, et al.
Published: (2024)

Using Physics Informed Generative Adversarial Networks to Model 3D porous media
by: Ren, Zihan, et al.
Published: (2024)

Semantics-Guided Generative Image Compression
by: Wu, Cheng-Lin, et al.
Published: (2025)