Generative Adversarial Networks with Limited Data: A Survey and Benchmarking
Fuente:
arXiv
Saved in:
| Main Authors: | De Mitri, Omar, Wang, Ruyu, Huber, Marco F. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
STAY Diffusion: Styled Layout Diffusion Model for Diverse Layout-to-Image Generation
by: Wang, Ruyu, et al.
Published: (2025)
by: Wang, Ruyu, et al.
Published: (2025)
Adversarial Semantic Augmentation for Training Generative Adversarial Networks under Limited Data
by: Yang, Mengping, et al.
Published: (2025)
by: Yang, Mengping, et al.
Published: (2025)
Synthesizing Iris Images using Generative Adversarial Networks: Survey and Comparative Analysis
by: Yadav, Shivangi, et al.
Published: (2024)
by: Yadav, Shivangi, et al.
Published: (2024)
Deepfake Generation and Detection: A Benchmark and Survey
by: Pei, Gan, et al.
Published: (2024)
by: Pei, Gan, et al.
Published: (2024)
Fragile by Design: On the Limits of Adversarial Defenses in Personalized Generation
by: Chen, Zhen, et al.
Published: (2025)
by: Chen, Zhen, et al.
Published: (2025)
Edge-preserving Image Denoising via Multi-scale Adaptive Statistical Independence Testing
by: Yan, Ruyu, et al.
Published: (2025)
by: Yan, Ruyu, et al.
Published: (2025)
A Survey on Transferability of Adversarial Examples across Deep Neural Networks
by: Gu, Jindong, et al.
Published: (2023)
by: Gu, Jindong, et al.
Published: (2023)
Generative Adversarial Networks for Image Super-Resolution: A Survey
by: Wu, Ziang, et al.
Published: (2022)
by: Wu, Ziang, et al.
Published: (2022)
Semantic Visual Simultaneous Localization and Mapping: A Survey
by: Chen, Kaiqi, et al.
Published: (2022)
by: Chen, Kaiqi, et al.
Published: (2022)
Image Synthesis under Limited Data: A Survey and Taxonomy
by: Yang, Mengping, et al.
Published: (2023)
by: Yang, Mengping, et al.
Published: (2023)
Model Compression Techniques in Biometrics Applications: A Survey
by: Caldeira, Eduarda, et al.
Published: (2024)
by: Caldeira, Eduarda, et al.
Published: (2024)
Underwater Image Enhancement using Generative Adversarial Networks: A Survey
by: Babu, Kancharagunta Kishan, et al.
Published: (2025)
by: Babu, Kancharagunta Kishan, et al.
Published: (2025)
Adversarial Pruning: A Survey and Benchmark of Pruning Methods for Adversarial Robustness
by: Piras, Giorgio, et al.
Published: (2024)
by: Piras, Giorgio, et al.
Published: (2024)
A Survey on Generative Modeling with Limited Data, Few Shots, and Zero Shot
by: Abdollahzadeh, Milad, et al.
Published: (2023)
by: Abdollahzadeh, Milad, et al.
Published: (2023)
DSE-GAN: Dynamic Semantic Evolution Generative Adversarial Network for Text-to-Image Generation
by: Huang, Mengqi, et al.
Published: (2022)
by: Huang, Mengqi, et al.
Published: (2022)
Dynamically Masked Discriminator for Generative Adversarial Networks
by: Zhang, Wentian, et al.
Published: (2023)
by: Zhang, Wentian, et al.
Published: (2023)
Generative Adversarial Networks in Ultrasound Imaging: Extending Field of View Beyond Conventional Limits
by: Gazda, Matej, et al.
Published: (2024)
by: Gazda, Matej, et al.
Published: (2024)
Beyond Spatial Explanations: Explainable Face Recognition in the Frequency Domain
by: Huber, Marco, et al.
Published: (2024)
by: Huber, Marco, et al.
Published: (2024)
ViPro-2: Unsupervised State Estimation via Integrated Dynamics for Guiding Video Prediction
by: Takenaka, Patrick, et al.
Published: (2025)
by: Takenaka, Patrick, et al.
Published: (2025)
Benchmarking Adversarial Robustness and Adversarial Training Strategies for Object Detection
by: Winter, Alexis, et al.
Published: (2026)
by: Winter, Alexis, et al.
Published: (2026)
360ORB-SLAM: A Visual SLAM System for Panoramic Images with Depth Completion Network
by: Chen, Yichen, et al.
Published: (2024)
by: Chen, Yichen, et al.
Published: (2024)
Survey of Adversarial Robustness in Multimodal Large Language Models
by: Jiang, Chengze, et al.
Published: (2025)
by: Jiang, Chengze, et al.
Published: (2025)
Physical Adversarial Attack meets Computer Vision: A Decade Survey
by: Wei, Hui, et al.
Published: (2022)
by: Wei, Hui, et al.
Published: (2022)
InterMamba: Efficient Human-Human Interaction Generation with Adaptive Spatio-Temporal Mamba
by: Wu, Zizhao, et al.
Published: (2025)
by: Wu, Zizhao, et al.
Published: (2025)
DTSGAN: Learning Dynamic Textures via Spatiotemporal Generative Adversarial Network
by: Li, Xiangtian, et al.
Published: (2024)
by: Li, Xiangtian, et al.
Published: (2024)
McGAN: Generating Manufacturable Designs by Embedding Manufacturing Rules into Conditional Generative Adversarial Network
by: Wang, Zhichao, et al.
Published: (2024)
by: Wang, Zhichao, et al.
Published: (2024)
Enhanced Droplet Analysis Using Generative Adversarial Networks
by: Pham, Tan-Hanh, et al.
Published: (2024)
by: Pham, Tan-Hanh, et al.
Published: (2024)
The Role of Video Generation in Enhancing Data-Limited Action Understanding
by: Li, Wei, et al.
Published: (2025)
by: Li, Wei, et al.
Published: (2025)
A Survey and Evaluation of Adversarial Attacks for Object Detection
by: Nguyen, Khoi Nguyen Tiet, et al.
Published: (2024)
by: Nguyen, Khoi Nguyen Tiet, et al.
Published: (2024)
Motion Generation: A Survey of Generative Approaches and Benchmarks
by: Khani, Aliasghar, et al.
Published: (2025)
by: Khani, Aliasghar, et al.
Published: (2025)
WasteGAN: Data Augmentation for Robotic Waste Sorting through Generative Adversarial Networks
by: Bacchin, Alberto, et al.
Published: (2024)
by: Bacchin, Alberto, et al.
Published: (2024)
A Step towards Automated and Generalizable Tactile Map Generation using Generative Adversarial Networks
by: Hobson, David G, et al.
Published: (2024)
by: Hobson, David G, et al.
Published: (2024)
Semi-Supervised Learning with Context-Conditional Generative Adversarial Networks
by: Denton, Remi, et al.
Published: (2016)
by: Denton, Remi, et al.
Published: (2016)
CLIP-Guided Generative Networks for Transferable Targeted Adversarial Attacks
by: Fang, Hao, et al.
Published: (2024)
by: Fang, Hao, et al.
Published: (2024)
Proactive Schemes: A Survey of Adversarial Attacks for Social Good
by: Asnani, Vishal, et al.
Published: (2024)
by: Asnani, Vishal, et al.
Published: (2024)
Visual Adversarial Attacks and Defenses in the Physical World: A Survey
by: Wei, Xingxing, et al.
Published: (2022)
by: Wei, Xingxing, et al.
Published: (2022)
BEARD: Benchmarking the Adversarial Robustness for Dataset Distillation
by: Zhou, Zheng, et al.
Published: (2024)
by: Zhou, Zheng, et al.
Published: (2024)
Benchmarking Adversarial Robustness of Image Shadow Removal with Shadow-adaptive Attacks
by: Wang, Chong, et al.
Published: (2024)
by: Wang, Chong, et al.
Published: (2024)
Data Generation Scheme for Thermal Modality with Edge-Guided Adversarial Conditional Diffusion Model
by: Zhu, Guoqing, et al.
Published: (2024)
by: Zhu, Guoqing, et al.
Published: (2024)
Digital Twin Generation from Visual Data: A Survey
by: Melnik, Andrew, et al.
Published: (2025)
by: Melnik, Andrew, et al.
Published: (2025)
Similar Items
-
STAY Diffusion: Styled Layout Diffusion Model for Diverse Layout-to-Image Generation
by: Wang, Ruyu, et al.
Published: (2025) -
Adversarial Semantic Augmentation for Training Generative Adversarial Networks under Limited Data
by: Yang, Mengping, et al.
Published: (2025) -
Synthesizing Iris Images using Generative Adversarial Networks: Survey and Comparative Analysis
by: Yadav, Shivangi, et al.
Published: (2024) -
Deepfake Generation and Detection: A Benchmark and Survey
by: Pei, Gan, et al.
Published: (2024) -
Fragile by Design: On the Limits of Adversarial Defenses in Personalized Generation
by: Chen, Zhen, et al.
Published: (2025)