Analyzing and Improving Optimal-Transport-based Adversarial Networks
Fuente:
arXiv
Saved in:
| Main Authors: | Choi, Jaemoo, Choi, Jaewoong, Kang, Myungjoo |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal Transport
by: Choi, Jaemoo, et al.
Published: (2023)
by: Choi, Jaemoo, et al.
Published: (2023)
Scalable Wasserstein Gradient Flow for Generative Modeling through Unbalanced Optimal Transport
by: Choi, Jaemoo, et al.
Published: (2024)
by: Choi, Jaemoo, et al.
Published: (2024)
Improving Neural Optimal Transport via Displacement Interpolation
by: Choi, Jaemoo, et al.
Published: (2024)
by: Choi, Jaemoo, et al.
Published: (2024)
Unsupervised Point Cloud Completion through Unbalanced Optimal Transport
by: Lee, Taekyung, et al.
Published: (2024)
by: Lee, Taekyung, et al.
Published: (2024)
Conditional Unbalanced Optimal Transport Maps: An Outlier-Robust Framework for Conditional Generative Modeling
by: Yoon, Jiwoo, et al.
Published: (2026)
by: Yoon, Jiwoo, et al.
Published: (2026)
Scalable Simulation-free Entropic Unbalanced Optimal Transport
by: Choi, Jaemoo, et al.
Published: (2024)
by: Choi, Jaemoo, et al.
Published: (2024)
Overcoming Spurious Solutions in Semi-Dual Neural Optimal Transport: A Smoothing Approach for Learning the Optimal Transport Plan
by: Choi, Jaemoo, et al.
Published: (2025)
by: Choi, Jaemoo, et al.
Published: (2025)
Spatial-and-Frequency-aware Restoration method for Images based on Diffusion Models
by: Lee, Kyungsung, et al.
Published: (2024)
by: Lee, Kyungsung, et al.
Published: (2024)
Reweighted Flow Matching via Unbalanced OT for Label-free Long-tailed Generation
by: Song, Hyunsoo, et al.
Published: (2025)
by: Song, Hyunsoo, et al.
Published: (2025)
Improving Diffusion-Based Generative Models via Approximated Optimal Transport
by: Kim, Daegyu, et al.
Published: (2024)
by: Kim, Daegyu, et al.
Published: (2024)
The Curse of Conditions: Analyzing and Improving Optimal Transport for Conditional Flow-Based Generation
by: Cheng, Ho Kei, et al.
Published: (2025)
by: Cheng, Ho Kei, et al.
Published: (2025)
Unlearning for One-Step Generative Models via Unbalanced Optimal Transport
by: Choi, Hyundo, et al.
Published: (2026)
by: Choi, Hyundo, et al.
Published: (2026)
MINR: Implicit Neural Representations with Masked Image Modelling
by: Lee, Sua, et al.
Published: (2025)
by: Lee, Sua, et al.
Published: (2025)
Recall-Oriented Continual Learning with Generative Adversarial Meta-Model
by: Kang, Haneol, et al.
Published: (2024)
by: Kang, Haneol, et al.
Published: (2024)
MFM-point: Multi-scale Flow Matching for Point Cloud Generation
by: Molodyk, Petr, et al.
Published: (2025)
by: Molodyk, Petr, et al.
Published: (2025)
Simple Drop-in LoRA Conditioning on Attention Layers Will Improve Your Diffusion Model
by: Choi, Joo Young, et al.
Published: (2024)
by: Choi, Joo Young, et al.
Published: (2024)
Adversarial Robustification via Text-to-Image Diffusion Models
by: Choi, Daewon, et al.
Published: (2024)
by: Choi, Daewon, et al.
Published: (2024)
Improving Generative Adversarial Networks with Self-Distillation
by: Nowinowski, Antoni, et al.
Published: (2026)
by: Nowinowski, Antoni, et al.
Published: (2026)
BankTweak: Adversarial Attack against Multi-Object Trackers by Manipulating Feature Banks
by: Shin, Woojin, et al.
Published: (2024)
by: Shin, Woojin, et al.
Published: (2024)
Fast and Accurate Neural Rendering Using Semi-Gradients
by: Cho, In-Young, et al.
Published: (2024)
by: Cho, In-Young, et al.
Published: (2024)
Sparse Representations Improve Adversarial Robustness of Neural Network Classifiers
by: Steunou, Killian, et al.
Published: (2025)
by: Steunou, Killian, et al.
Published: (2025)
Analyzing Physical Adversarial Example Threats to Machine Learning in Election Systems
by: Kamal, Khaleque Md Aashiq, et al.
Published: (2026)
by: Kamal, Khaleque Md Aashiq, et al.
Published: (2026)
An In-Depth Analysis of Adversarial Discriminative Domain Adaptation for Digit Classification
by: Choi, Eugene, et al.
Published: (2024)
by: Choi, Eugene, et al.
Published: (2024)
Optimal Transport-based Domain Alignment as a Preprocessing Step for Federated Learning
by: Pereira, Luiz Manella, et al.
Published: (2025)
by: Pereira, Luiz Manella, et al.
Published: (2025)
Improving Transformation-based Defenses against Adversarial Examples with First-order Perturbations
by: Zhang, Haimin, et al.
Published: (2021)
by: Zhang, Haimin, et al.
Published: (2021)
A Generative Model for Texture Synthesis based on Optimal Transport between Feature Distributions
by: Houdard, Antoine, et al.
Published: (2020)
by: Houdard, Antoine, et al.
Published: (2020)
Advancing Meteorological Forecasting: AI-based Approach to Synoptic Weather Map Analysis
by: Choi, Yo-Hwan, et al.
Published: (2024)
by: Choi, Yo-Hwan, et al.
Published: (2024)
Intrinsic Image Decomposition for Robust Self-supervised Monocular Depth Estimation on Reflective Surfaces
by: Choi, Wonhyeok, et al.
Published: (2025)
by: Choi, Wonhyeok, et al.
Published: (2025)
Dual Precision Deep Neural Network
by: Park, Jae Hyun, et al.
Published: (2020)
by: Park, Jae Hyun, et al.
Published: (2020)
DataFreeShield: Defending Adversarial Attacks without Training Data
by: Lee, Hyeyoon, et al.
Published: (2024)
by: Lee, Hyeyoon, et al.
Published: (2024)
Efficient Generative Modeling beyond Memoryless Diffusion via Adjoint Schrödinger Bridge Matching
by: Shin, Jeongwoo, et al.
Published: (2026)
by: Shin, Jeongwoo, 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)
Bootstrap Deep Spectral Clustering with Optimal Transport
by: Guo, Wengang, et al.
Published: (2025)
by: Guo, Wengang, et al.
Published: (2025)
Towards Meta-Pruning via Optimal Transport
by: Theus, Alexander, et al.
Published: (2024)
by: Theus, Alexander, et al.
Published: (2024)
Improving Adversarial Transferability via Model Alignment
by: Ma, Avery, et al.
Published: (2023)
by: Ma, Avery, et al.
Published: (2023)
Enhancing Accuracy and Parameter-Efficiency of Neural Representations for Network Parameterization
by: Choi, Hongjun, et al.
Published: (2024)
by: Choi, Hongjun, et al.
Published: (2024)
Improving Generative Pre-Training: An In-depth Study of Masked Image Modeling and Denoising Models
by: Choi, Hyesong, et al.
Published: (2024)
by: Choi, Hyesong, et al.
Published: (2024)
Self-supervised Monocular Depth Estimation Robust to Reflective Surface Leveraged by Triplet Mining
by: Choi, Wonhyeok, et al.
Published: (2025)
by: Choi, Wonhyeok, et al.
Published: (2025)
DBN-Mix: Training Dual Branch Network Using Bilateral Mixup Augmentation for Long-Tailed Visual Recognition
by: Baik, Jae Soon, et al.
Published: (2022)
by: Baik, Jae Soon, et al.
Published: (2022)
TAROT: Targeted Data Selection via Optimal Transport
by: Feng, Lan, et al.
Published: (2024)
by: Feng, Lan, et al.
Published: (2024)
Similar Items
-
Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal Transport
by: Choi, Jaemoo, et al.
Published: (2023) -
Scalable Wasserstein Gradient Flow for Generative Modeling through Unbalanced Optimal Transport
by: Choi, Jaemoo, et al.
Published: (2024) -
Improving Neural Optimal Transport via Displacement Interpolation
by: Choi, Jaemoo, et al.
Published: (2024) -
Unsupervised Point Cloud Completion through Unbalanced Optimal Transport
by: Lee, Taekyung, et al.
Published: (2024) -
Conditional Unbalanced Optimal Transport Maps: An Outlier-Robust Framework for Conditional Generative Modeling
by: Yoon, Jiwoo, et al.
Published: (2026)