Image de couverture de livre

Fluid Grey 2: How Well Does Generative Adversarial Network Learn Deeper Topology Structure in Architecture That Matches Images?

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Qiu, Yayan, Hanna, Sean
Format:	Preprint
Publié:	2025
Sujets:	Artificial Intelligence Computer Vision and Pattern Recognition Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

CUPID: Contextual Understanding of Prompt-conditioned Image Distributions
par: Zhao, Yayan, et autres
Publié: (2024)

Adversarial Attack Against Images Classification based on Generative Adversarial Networks
par: Yang, Yahe
Publié: (2024)

Unlocking Feature Visualization for Deeper Networks with MAgnitude Constrained Optimization
par: Fel, Thomas, et autres
Publié: (2023)

How Does Pruning Impact Long-Tailed Multi-Label Medical Image Classifiers?
par: Holste, Gregory, et autres
Publié: (2023)

Fingerprinting Image-to-Image Generative Adversarial Networks
par: Li, Guanlin, et autres
Publié: (2021)

SPDGAN: A Generative Adversarial Network based on SPD Manifold Learning for Automatic Image Colorization
par: Mourchid, Youssef, et autres
Publié: (2023)

Quaternion Generative Adversarial Neural Networks and Applications to Color Image Inpainting
par: Wang, Duan, et autres
Publié: (2024)

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

Automatic Image Colorization with Convolutional Neural Networks and Generative Adversarial Networks
par: Qiu, Changyuan, et autres
Publié: (2025)

DynSegNet:Dynamic Architecture Adjustment for Adversarial Learning in Segmenting Hemorrhagic Lesions from Fundus Images
par: Li, Zesheng, et autres
Publié: (2025)

Generative Adversarial Networks in Ultrasound Imaging: Extending Field of View Beyond Conventional Limits
par: Gazda, Matej, et autres
Publié: (2024)

SRU-Pix2Pix: A Fusion-Driven Generator Network for Medical Image Translation with Few-Shot Learning
par: Qiu, Xihe, et autres
Publié: (2026)

BF-GAN: Development of an AI-driven Bubbly Flow Image Generation Model Using Generative Adversarial Networks
par: Zhou, Wen, et autres
Publié: (2025)

Learning Patient-Specific Disease Dynamics with Latent Flow Matching for Longitudinal Imaging Generation
par: Chen, Hao, et autres
Publié: (2025)

Iterative Adversarial Attack on Image-guided Story Ending Generation
par: Wang, Youze, et autres
Publié: (2023)

Clustering-based Image-Text Graph Matching for Domain Generalization
par: Park, Nokyung, et autres
Publié: (2023)

A Novel Wasserstein Quaternion Generative Adversarial Network for Color Image Generation
par: Jia, Zhigang, et autres
Publié: (2025)

Beyond Classification Accuracy: Neural-MedBench and the Need for Deeper Reasoning Benchmarks
par: Jing, Miao, et autres
Publié: (2025)

How Well Does GPT-4V(ision) Adapt to Distribution Shifts? A Preliminary Investigation
par: Han, Zhongyi, et autres
Publié: (2023)

A Review on Domain Adaption and Generative Adversarial Networks(GANs)
par: Dhawan, Aashish, et autres
Publié: (2025)

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

Applying Conditional Generative Adversarial Networks for Imaging Diagnosis
par: Yang, Haowei, et autres
Publié: (2024)

TopoCL: Topological Contrastive Learning for Medical Imaging
par: Meng, Guangyu, et autres
Publié: (2026)

TAIGen: Training-Free Adversarial Image Generation via Diffusion Models
par: Roy, Susim, et autres
Publié: (2025)

AdvI2I: Adversarial Image Attack on Image-to-Image Diffusion models
par: Zeng, Yaopei, et autres
Publié: (2024)

Adversarial Flow Matching for Imperceptible Attacks on End-to-End Autonomous Driving
par: Zeng, Xinyu, et autres
Publié: (2026)

Robustness as Architecture: Designing IQA Models to Withstand Adversarial Perturbations
par: Meleshin, Igor, et autres
Publié: (2025)

CountQA: How Well Do MLLMs Count in the Wild?
par: Tamarapalli, Jayant Sravan, et autres
Publié: (2025)

Two-flow Feedback Multi-scale Progressive Generative Adversarial Network
par: Weikai, Sun, et autres
Publié: (2025)

Symmetrical Flow Matching: Unified Image Generation, Segmentation, and Classification with Score-Based Generative Models
par: Caetano, Francisco, et autres
Publié: (2025)

Test-Time Domain Generalization via Universe Learning: A Multi-Graph Matching Approach for Medical Image Segmentation
par: Lv, Xingguo, et autres
Publié: (2025)

Watch Wider and Think Deeper: Collaborative Cross-modal Chain-of-Thought for Complex Visual Reasoning
par: Lu, Wenting, et autres
Publié: (2026)

An End-to-End Deep Learning Generative Framework for Refinable Shape Matching and Generation
par: Kalaie, Soodeh, et autres
Publié: (2024)

MatchSeg: Towards Better Segmentation via Reference Image Matching
par: Huo, Jiayu, et autres
Publié: (2024)

A Comparative Study of Adversarial Robustness in CNN and CNN-ANFIS Architectures
par: Shankar, Kaaustaaub, et autres
Publié: (2026)

Automated Road Distress Detection Using Vision Transformersand Generative Adversarial Networks
par: Rodriguez, Cesar Portocarrero, et autres
Publié: (2025)

See Further, Think Deeper: Advancing VLM's Reasoning Ability with Low-level Visual Cues and Reflection
par: Wu, Zhiheng, et autres
Publié: (2026)

FedDAG: Federated Domain Adversarial Generation Towards Generalizable Medical Image Analysis
par: Che, Haoxuan, et autres
Publié: (2025)

On the Adversarial Robustness of Discrete Image Tokenizers
par: Bhagwatkar, Rishika, et autres
Publié: (2026)

BeHGAN: Bengali Handwritten Word Generation from Plain Text Using Generative Adversarial Networks
par: Islam, Md. Rakibul, et autres
Publié: (2025)