Saved in:
| Main Authors: | Ding, Xin, Wang, Yongwei, Xu, Zuheng |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2308.10273 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
CCDM: Continuous Conditional Diffusion Models for Image Generation
by: Ding, Xin, et al.
Published: (2024)
by: Ding, Xin, et al.
Published: (2024)
Imbalance-Robust and Sampling-Efficient Continuous Conditional GANs via Adaptive Vicinity and Auxiliary Regularization
by: Ding, Xin, et al.
Published: (2025)
by: Ding, Xin, et al.
Published: (2025)
Enhancing Diffusion-Based Quantitatively Controllable Image Generation via Matrix-Form EDM and Adaptive Vicinal Training
by: Ding, Xin, et al.
Published: (2026)
by: Ding, Xin, et al.
Published: (2026)
Creative Portraiture: Exploring Creative Adversarial Networks and Conditional Creative Adversarial Networks
by: Hereu, Sebastian, et al.
Published: (2024)
by: Hereu, Sebastian, et al.
Published: (2024)
Leveraging Generalizability of Image-to-Image Translation for Enhanced Adversarial Defense
by: Zhang, Haibo, et al.
Published: (2025)
by: Zhang, Haibo, et al.
Published: (2025)
CFTS-GAN: Continual Few-Shot Teacher Student for Generative Adversarial Networks
by: Ali, Munsif, et al.
Published: (2024)
by: Ali, Munsif, et al.
Published: (2024)
Generative Adversarial Networks Bridging Art and Machine Intelligence
by: Song, Junhao, et al.
Published: (2025)
by: Song, Junhao, et al.
Published: (2025)
CBAGAN-RRT: Convolutional Block Attention Generative Adversarial Network for Sampling-Based Path Planning
by: Sagar, Abhinav, et al.
Published: (2023)
by: Sagar, Abhinav, et al.
Published: (2023)
Improving Generative Adversarial Networks with Self-Distillation
by: Nowinowski, Antoni, et al.
Published: (2026)
by: Nowinowski, Antoni, et al.
Published: (2026)
UniGame: Turning a Unified Multimodal Model Into Its Own Adversary
by: Su, Zhaolong, et al.
Published: (2025)
by: Su, Zhaolong, et al.
Published: (2025)
AdapNet: Adaptive Noise-Based Network for Low-Quality Image Retrieval
by: Zhang, Sihe, et al.
Published: (2024)
by: Zhang, Sihe, et al.
Published: (2024)
PSPU: Enhanced Positive and Unlabeled Learning by Leveraging Pseudo Supervision
by: Wang, Chengjie, et al.
Published: (2024)
by: Wang, Chengjie, et al.
Published: (2024)
Continuous Adversarial Flow Models
by: Lin, Shanchuan, et al.
Published: (2026)
by: Lin, Shanchuan, et al.
Published: (2026)
RefDecoder: Enhancing Visual Generation with Conditional Video Decoding
by: Fan, Xiang, et al.
Published: (2026)
by: Fan, Xiang, et al.
Published: (2026)
Enhancing Adversarial Robustness via Uncertainty-Aware Distributional Adversarial Training
by: Dong, Junhao, et al.
Published: (2024)
by: Dong, Junhao, et al.
Published: (2024)
Nested Annealed Training Scheme for Generative Adversarial Networks
by: Wan, Chang, et al.
Published: (2025)
by: Wan, Chang, et al.
Published: (2025)
Synthetic Melanoma Image Generation and Evaluation Using Generative Adversarial Networks
by: Lin, Pei-Yu, et al.
Published: (2026)
by: Lin, Pei-Yu, et al.
Published: (2026)
Synthetic Medical Imaging Generation with Generative Adversarial Networks For Plain Radiographs
by: McNulty, John R., et al.
Published: (2024)
by: McNulty, John R., et al.
Published: (2024)
Continual Adversarial Defense
by: Wang, Qian, et al.
Published: (2023)
by: Wang, Qian, et al.
Published: (2023)
Learning Brenier Potentials with Convex Generative Adversarial Neural Networks
by: Drygala, Claudia, et al.
Published: (2025)
by: Drygala, Claudia, et al.
Published: (2025)
RegMix: Adversarial Mutual and Generalization Regularization for Enhancing DNN Robustness
by: Liu, Zhenyu, et al.
Published: (2025)
by: Liu, Zhenyu, et al.
Published: (2025)
Improving Medical Waste Classification with Hybrid Capsule Networks
by: Broek, Bennet van den, et al.
Published: (2025)
by: Broek, Bennet van den, et al.
Published: (2025)
Enhancing Adversarial Transferability by Balancing Exploration and Exploitation with Gradient-Guided Sampling
by: Niu, Zenghao, et al.
Published: (2025)
by: Niu, Zenghao, et al.
Published: (2025)
Criticality Leveraged Adversarial Training (CLAT) for Boosted Performance via Parameter Efficiency
by: Gopal, Bhavna, et al.
Published: (2024)
by: Gopal, Bhavna, et al.
Published: (2024)
RAVEN: Rethinking Adversarial Video Generation with Efficient Tri-plane Networks
by: Ghosh, Partha, et al.
Published: (2024)
by: Ghosh, Partha, et al.
Published: (2024)
Applications and Effect Evaluation of Generative Adversarial Networks in Semi-Supervised Learning
by: Hu, Jiyu, et al.
Published: (2025)
by: Hu, Jiyu, et al.
Published: (2025)
IGAN: Inferent and Generative Adversarial Networks
by: Vignaud, Luc
Published: (2021)
by: Vignaud, Luc
Published: (2021)
Text-To-Image with Generative Adversarial Networks
by: Momen-Tayefeh, Mehrshad
Published: (2024)
by: Momen-Tayefeh, Mehrshad
Published: (2024)
Simulating Dynamic Tumor Contrast Enhancement in Breast MRI using Conditional Generative Adversarial Networks
by: Osuala, Richard, et al.
Published: (2024)
by: Osuala, Richard, et al.
Published: (2024)
Unleashing High-Quality Image Generation in Diffusion Sampling Using Second-Order Levenberg-Marquardt-Langevin
by: Wang, Fangyikang, et al.
Published: (2025)
by: Wang, Fangyikang, et al.
Published: (2025)
Fingerprinting Image-to-Image Generative Adversarial Networks
by: Li, Guanlin, et al.
Published: (2021)
by: Li, Guanlin, et al.
Published: (2021)
Sample-Specific Noise Injection For Diffusion-Based Adversarial Purification
by: Sun, Yuhao, et al.
Published: (2025)
by: Sun, Yuhao, et al.
Published: (2025)
Epistemic Generative Adversarial Networks
by: Mubashar, Muhammad, et al.
Published: (2026)
by: Mubashar, Muhammad, et al.
Published: (2026)
Recall-Oriented Continual Learning with Generative Adversarial Meta-Model
by: Kang, Haneol, et al.
Published: (2024)
by: Kang, Haneol, et al.
Published: (2024)
Conditional Idempotent Generative Networks
by: Ronchetti, Niccolò
Published: (2024)
by: Ronchetti, Niccolò
Published: (2024)
Revisiting Generative Adversarial Networks for Binary Semantic Segmentation on Imbalanced Datasets
by: Xu, Lei, et al.
Published: (2024)
by: Xu, Lei, et al.
Published: (2024)
U-Turn Diffusion
by: Behjoo, Hamidreza, et al.
Published: (2023)
by: Behjoo, Hamidreza, et al.
Published: (2023)
Adversarial Attacks Leverage Interference Between Features in Superposition
by: Stevinson, Edward, et al.
Published: (2025)
by: Stevinson, Edward, et al.
Published: (2025)
OmniControlNet: Dual-stage Integration for Conditional Image Generation
by: Wang, Yilin, et al.
Published: (2024)
by: Wang, Yilin, et al.
Published: (2024)
Latent Danger Zone: Distilling Unified Attention for Cross-Architecture Black-box Attacks
by: Li, Yang, et al.
Published: (2025)
by: Li, Yang, et al.
Published: (2025)
Similar Items
-
CCDM: Continuous Conditional Diffusion Models for Image Generation
by: Ding, Xin, et al.
Published: (2024) -
Imbalance-Robust and Sampling-Efficient Continuous Conditional GANs via Adaptive Vicinity and Auxiliary Regularization
by: Ding, Xin, et al.
Published: (2025) -
Enhancing Diffusion-Based Quantitatively Controllable Image Generation via Matrix-Form EDM and Adaptive Vicinal Training
by: Ding, Xin, et al.
Published: (2026) -
Creative Portraiture: Exploring Creative Adversarial Networks and Conditional Creative Adversarial Networks
by: Hereu, Sebastian, et al.
Published: (2024) -
Leveraging Generalizability of Image-to-Image Translation for Enhanced Adversarial Defense
by: Zhang, Haibo, et al.
Published: (2025)