GAN Architecture

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 architectures to address challenges like training instability, mode collapse, and the need for large datasets, exploring variations such as conditional GANs (cGANs), and incorporating techniques like hypernetworks and downstream feedback. These advancements are significantly impacting diverse fields, enabling applications ranging from medical image enhancement and data augmentation to synthetic data generation for improving model fairness and efficiency in computationally intensive simulations.

Papers

October 28, 2024

zGAN: An Outlier-focused Generative Adversarial Network For Realistic Synthetic Data Generation
Azizjon Azimi, Bonu Boboeva, Ilyas Varshavskiy, Shuhrat Khalilbekov, Akhlitdin Nizamitdinov, Najima Noyoftova, Sergey Shulgin
Anomaly Detection Synthetic Data Real World Synthetic Data Generation GAN Architecture Outlier Explanation Outlier Synthesis

October 8, 2024

Block Induced Signature Generative Adversarial Network (BISGAN): Signature Spoofing Using GANs and Their Evaluation
Haadia Amjad, Kilian Goeller, Steffen Seitz, Carsten Knoll, Naseer Bajwa, Muhammad Imran Malik, Ronald Tetzlaff
Generative Adversarial Network Global Evaluation GAN Architecture GAN Based Handwritten Signature Fake Fingerprint

September 25, 2024

WasteGAN: Data Augmentation for Robotic Waste Sorting through Generative Adversarial Networks
Alberto Bacchin, Leonardo Barcellona, Matteo Terreran, Stefano Ghidoni, Emanuele Menegatti, Takuya Kiyokawa
Generative Adversarial Network Data Augmentation Semantic Segmentation Model GAN Architecture Efficient Waste

August 28, 2024

GANs Conditioning Methods: A Survey
Anis Bourou, Auguste Genovesio, Valérie Mezger
Timely Survey Generative Adversarial Network Generative Modeling GAN Architecture

June 26, 2024

Generalized Deepfake Attribution
Sowdagar Mahammad Shahid, Sudev Kumar Padhi, Umesh Kashyap, Sk. Subidh Ali
Generative Adversarial Network GAN Model Deepfake Detector GAN Architecture

June 23, 2024

Evaluation and Comparison of Emotionally Evocative Image Augmentation Methods
Jan Ignatowicz, Krzysztof Kutt, Grzegorz J. Nalepa
Generative Adversarial Network Global Evaluation Consistent Comparison Affective Computing GAN Architecture Test Stimulus

June 5, 2024

Deep Generative Models for Proton Zero Degree Calorimeter Simulations in ALICE, CERN
Patryk Będkowski, Jan Dubiński, Kamil Deja, Przemysław Rokita
Generative Adversarial GAN Architecture Calorimeter Simulation Active Learning With Contrastive Explanation Detector Simulation

May 25, 2024

Method and Software Tool for Generating Artificial Databases of Biomedical Images Based on Deep Neural Networks
Oleh Berezsky, Petro Liashchynskyi, Oleh Pitsun, Grygoriy Melnyk
Deep Neural Network GAN Model Practical Method Data Generation Software System Medical Image Synthesis GAN Architecture Biomedical Image Synthetic Medical Image

March 27, 2024

DSF-GAN: DownStream Feedback Generative Adversarial Network
Oriel Perets, Nadav Rappoport
C Gan GAN Architecture Synthetic Tabular Data Synthetic Sample Adversarial Feedback

March 25, 2024

Multi-Scale Texture Loss for CT denoising with GANs
Francesco Di Feola, Lorenzo Tronchin, Valerio Guarrasi, Paolo Soda
Generative Adversarial Network Loss Function Low Dose GAN Architecture

February 26, 2024

Taming the Tail in Class-Conditional GANs: Knowledge Sharing via Unconditional Training at Lower Resolutions
Saeed Khorram, Mingqi Jiang, Mohamad Shahbazi, Mohamad H. Danesh, Li Fuxin
Generative Adversarial Network Low Resolution GAN Architecture Conditional GAN Thin Tail Knowledge Sharing

February 2, 2024

Ambient-Pix2PixGAN for Translating Medical Images from Noisy Data
Wentao Chen, Xichen Xu, Jie Luo, Weimin Zhou
Medical Image Conditional Generative Adversarial Network Noisy Data GAN Architecture Ambient Sound Based Augmentation Medical Image Translation

January 17, 2024

MITS-GAN: Safeguarding Medical Imaging from Tampering with Generative Adversarial Networks
Giovanni Pasqualino, Luca Guarnera, Alessandro Ortis, Sebastiano Battiato
Generative Adversarial Network Instruction Tuning Medical Imaging GAN Architecture

November 15, 2023

CP-EB: Talking Face Generation with Controllable Pose and Eye Blinking Embedding
Jianzong Wang, Yimin Deng, Ziqi Liang, Xulong Zhang, Ning Cheng, Jing Xiao
Face Generation GAN Architecture Human Eye Pose Control Talking Face Head Pose Eye Blink

September 5, 2023

Utilizing Generative Adversarial Networks for Stable Structure Generation in Angry Birds
Frederic Abraham, Matthew Stephenson
Generative Adversarial Network GAN Architecture ATARI Game Structure Generation

June 23, 2023

June 15, 2023

PUGAN: Physical Model-Guided Underwater Image Enhancement Using GAN with Dual-Discriminators
Runmin Cong, Wenyu Yang, Wei Zhang, Chongyi Li, Chun-Le Guo, Qingming Huang, Sam Kwong
Generative Adversarial Network GAN Model Underwater Image Underwater Image Enhancement GAN Architecture Dual Discriminator

May 28, 2023

Augmenting Character Designers Creativity Using Generative Adversarial Networks
Mohammad Lataifeh, Xavier Carrasco, Ashraf Elnagar, Naveed Ahmed
Generative Adversarial Network GAN Architecture Character Designer

May 25, 2023

Non-adversarial training of Neural SDEs with signature kernel scores
Zacharia Issa, Blanka Horvath, Maud Lemercier, Cristopher Salvi
Generative Model GAN Model GAN Architecture Neural SDEs Signature Kernel Rough Volatility

GAN Architecture

Papers

zGAN: An Outlier-focused Generative Adversarial Network For Realistic Synthetic Data Generation

Block Induced Signature Generative Adversarial Network (BISGAN): Signature Spoofing Using GANs and Their Evaluation

WasteGAN: Data Augmentation for Robotic Waste Sorting through Generative Adversarial Networks

GANs Conditioning Methods: A Survey

Generalized Deepfake Attribution

Evaluation and Comparison of Emotionally Evocative Image Augmentation Methods

Deep Generative Models for Proton Zero Degree Calorimeter Simulations in ALICE, CERN

Method and Software Tool for Generating Artificial Databases of Biomedical Images Based on Deep Neural Networks

DSF-GAN: DownStream Feedback Generative Adversarial Network

Multi-Scale Texture Loss for CT denoising with GANs

Taming the Tail in Class-Conditional GANs: Knowledge Sharing via Unconditional Training at Lower Resolutions

Ambient-Pix2PixGAN for Translating Medical Images from Noisy Data

MITS-GAN: Safeguarding Medical Imaging from Tampering with Generative Adversarial Networks

CP-EB: Talking Face Generation with Controllable Pose and Eye Blinking Embedding

Utilizing Generative Adversarial Networks for Stable Structure Generation in Angry Birds

Machine Learning methods for simulating particle response in the Zero Degree Calorimeter at the ALICE experiment, CERN

Penalty Gradient Normalization for Generative Adversarial Networks

PUGAN: Physical Model-Guided Underwater Image Enhancement Using GAN with Dual-Discriminators

Augmenting Character Designers Creativity Using Generative Adversarial Networks

Non-adversarial training of Neural SDEs with signature kernel scores