Copertina

IGAN: Inferent and Generative Adversarial Networks

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autore principale:	Vignaud, Luc
Natura:	Preprint
Pubblicazione:	2021
Soggetti:	Machine Learning Artificial Intelligence Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

IGAN: A New Inception-based Model for Stable and High-Fidelity Image Synthesis Using Generative Adversarial Networks
di: Hashim, Ahmed A., et al.
Pubblicazione: (2026)

Text-To-Image with Generative Adversarial Networks
di: Momen-Tayefeh, Mehrshad
Pubblicazione: (2024)

CoDeGAN: Contrastive Disentanglement for Generative Adversarial Network
di: Zhao, Jiangwei, et al.
Pubblicazione: (2021)

Advancing Ante-Hoc Explainable Models through Generative Adversarial Networks
di: Garg, Tanmay, et al.
Pubblicazione: (2024)

Adapt then Unlearn: Exploring Parameter Space Semantics for Unlearning in Generative Adversarial Networks
di: Tiwary, Piyush, et al.
Pubblicazione: (2023)

CKGAN: Training Generative Adversarial Networks Using Characteristic Kernel Integral Probability Metrics
di: Zhang, Kuntian, et al.
Pubblicazione: (2025)

A Generative Adversarial Network-based Method for LiDAR-Assisted Radar Image Enhancement
di: Thilakanayake, Thakshila, et al.
Pubblicazione: (2024)

Adversarial Wear and Tear: Exploiting Natural Damage for Generating Physical-World Adversarial Examples
di: Irshad, Samra, et al.
Pubblicazione: (2025)

Colour and Brush Stroke Pattern Recognition in Abstract Art using Modified Deep Convolutional Generative Adversarial Networks
di: Srinivasan, Srinitish, et al.
Pubblicazione: (2024)

Fingerprinting Image-to-Image Generative Adversarial Networks
di: Li, Guanlin, et al.
Pubblicazione: (2021)

Fluid Grey 2: How Well Does Generative Adversarial Network Learn Deeper Topology Structure in Architecture That Matches Images?
di: Qiu, Yayan, et al.
Pubblicazione: (2025)

Adversarial Examples: Generation Proposal in the Context of Facial Recognition Systems
di: Fuster, Marina, et al.
Pubblicazione: (2024)

Recall-Oriented Continual Learning with Generative Adversarial Meta-Model
di: Kang, Haneol, et al.
Pubblicazione: (2024)

Assessing Robustness via Score-Based Adversarial Image Generation
di: Kollovieh, Marcel, et al.
Pubblicazione: (2023)

Diffusion Adversarial Post-Training for One-Step Video Generation
di: Lin, Shanchuan, et al.
Pubblicazione: (2025)

Improved Diffusion-based Generative Model with Better Adversarial Robustness
di: Wang, Zekun, et al.
Pubblicazione: (2025)

Instant Adversarial Purification with Adversarial Consistency Distillation
di: Lei, Chun Tong, et al.
Pubblicazione: (2024)

Autoregressive Adversarial Post-Training for Real-Time Interactive Video Generation
di: Lin, Shanchuan, et al.
Pubblicazione: (2025)

Self-Supervised Learning with Generative Adversarial Networks for Electron Microscopy
di: Kazimi, Bashir, et al.
Pubblicazione: (2024)

Conserve-Update-Revise to Cure Generalization and Robustness Trade-off in Adversarial Training
di: Gowda, Shruthi, et al.
Pubblicazione: (2024)

JMA: a General Algorithm to Craft Nearly Optimal Targeted Adversarial Example
di: Tondi, Benedetta, et al.
Pubblicazione: (2024)

Attacking Bayes: On the Adversarial Robustness of Bayesian Neural Networks
di: Feng, Yunzhen, et al.
Pubblicazione: (2024)

Tailoring Adversarial Attacks on Deep Neural Networks for Targeted Class Manipulation Using DeepFool Algorithm
di: Labib, S. M. Fazle Rabby, et al.
Pubblicazione: (2023)

On the Interaction of Compressibility and Adversarial Robustness
di: Barsbey, Melih, et al.
Pubblicazione: (2025)

Handloom Design Generation Using Generative Networks
di: Bhattacharjee, Rajat Kanti, et al.
Pubblicazione: (2025)

Adversarial Vulnerability Transcends Computational Paradigms: Feature Engineering Provides No Defense Against Neural Adversarial Transfer
di: Hsain, Achraf, et al.
Pubblicazione: (2026)

Automatic Image Colorization with Convolutional Neural Networks and Generative Adversarial Networks
di: Qiu, Changyuan, et al.
Pubblicazione: (2025)

AR-GAN: Generative Adversarial Network-Based Defense Method Against Adversarial Attacks on the Traffic Sign Classification System of Autonomous Vehicles
di: Salek, M Sabbir, et al.
Pubblicazione: (2023)

Golyadkin's Torment: Doppelgängers and Adversarial Vulnerability
di: Kamberov, George I.
Pubblicazione: (2024)

Conditional Idempotent Generative Networks
di: Ronchetti, Niccolò
Pubblicazione: (2024)

Examining Pathological Bias in a Generative Adversarial Network Discriminator: A Case Study on a StyleGAN3 Model
di: Grissom II, Alvin, et al.
Pubblicazione: (2024)

Adversarial Examples in the Physical World: A Survey
di: Wang, Jiakai, et al.
Pubblicazione: (2023)

Beyond the Known: Adversarial Autoencoders in Novelty Detection
di: Asad, Muhammad, et al.
Pubblicazione: (2024)

SDXL-Lightning: Progressive Adversarial Diffusion Distillation
di: Lin, Shanchuan, et al.
Pubblicazione: (2024)

Robustness Tokens: Towards Adversarial Robustness of Transformers
di: Pulfer, Brian, et al.
Pubblicazione: (2025)

Structure-Guided Adversarial Training of Diffusion Models
di: Yang, Ling, et al.
Pubblicazione: (2024)

Random Sampling for Diffusion-based Adversarial Purification
di: Zhang, Jiancheng, et al.
Pubblicazione: (2024)

General Cyclical Training of Neural Networks
di: Smith, Leslie N.
Pubblicazione: (2022)

A Survey on the Application of Generative Adversarial Networks in Cybersecurity: Prospective, Direction and Open Research Scopes
di: Arifin, Md Mashrur, et al.
Pubblicazione: (2024)

Adversarially Trained Object Detector for Unsupervised Domain Adaptation
di: Fujii, Kazuma, et al.
Pubblicazione: (2021)