Shape-of-You: Fused Gromov-Wasserstein Optimal Transport for Semantic Correspondence in-the-Wild
Fuente:
arXiv
Saved in:
| Main Authors: | Im, Jiin, Liu, Sisung, Hong, Je Hyeong |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
FUN-AD: Fully Unsupervised Learning for Anomaly Detection with Noisy Training Data
by: Im, Jiin, et al.
Published: (2024)
by: Im, Jiin, et al.
Published: (2024)
Gromov Wasserstein Optimal Transport for Semantic Correspondences
by: Snelgar, Francis, et al.
Published: (2026)
by: Snelgar, Francis, et al.
Published: (2026)
Min Generalized Sliced Gromov Wasserstein: A Scalable Path to Gromov Wasserstein
by: Shahbazi, Ashkan, et al.
Published: (2026)
by: Shahbazi, Ashkan, et al.
Published: (2026)
Rethinking Model Selection in VLM Through the Lens of Gromov-Wasserstein Distance
by: Li, Muyang, et al.
Published: (2026)
by: Li, Muyang, et al.
Published: (2026)
Improving Hyperbolic Representations via Gromov-Wasserstein Regularization
by: Yang, Yifei, et al.
Published: (2024)
by: Yang, Yifei, et al.
Published: (2024)
Gromov-Wasserstein-like Distances in the Gaussian Mixture Models Space
by: Salmona, Antoine, et al.
Published: (2023)
by: Salmona, Antoine, 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)
Procedure Learning via Regularized Gromov-Wasserstein Optimal Transport
by: Mahmood, Syed Ahmed, et al.
Published: (2025)
by: Mahmood, Syed Ahmed, et al.
Published: (2025)
SP$^2$OT: Semantic-Regularized Progressive Partial Optimal Transport for Imbalanced Clustering
by: Zhang, Chuyu, et al.
Published: (2024)
by: Zhang, Chuyu, et al.
Published: (2024)
Point-Based Shape Representation Generation with a Correspondence-Preserving Diffusion Model
by: Zhu, Shen, et al.
Published: (2025)
by: Zhu, Shen, et al.
Published: (2025)
TAROT: Targeted Data Selection via Optimal Transport
by: Feng, Lan, et al.
Published: (2024)
by: Feng, Lan, et al.
Published: (2024)
Match me if you can: Semi-Supervised Semantic Correspondence Learning with Unpaired Images
by: Kim, Jiwon, et al.
Published: (2023)
by: Kim, Jiwon, et al.
Published: (2023)
Disentangled Representation Learning with the Gromov-Monge Gap
by: Uscidda, Théo, et al.
Published: (2024)
by: Uscidda, Théo, et al.
Published: (2024)
PINGS-X: Physics-Informed Normalized Gaussian Splatting with Axes Alignment for Efficient Super-Resolution of 4D Flow MRI
by: Jo, Sun, et al.
Published: (2025)
by: Jo, Sun, et al.
Published: (2025)
Do We Always Need the Simplicity Bias? Looking for Optimal Inductive Biases in the Wild
by: Teney, Damien, et al.
Published: (2025)
by: Teney, Damien, et al.
Published: (2025)
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)
SEREP: Semantic Facial Expression Representation for Robust In-the-Wild Capture and Retargeting
by: Josi, Arthur, et al.
Published: (2024)
by: Josi, Arthur, et al.
Published: (2024)
Analyzing and Improving Optimal-Transport-based Adversarial Networks
by: Choi, Jaemoo, et al.
Published: (2023)
by: Choi, Jaemoo, et al.
Published: (2023)
Improving Neural Optimal Transport via Displacement Interpolation
by: Choi, Jaemoo, et al.
Published: (2024)
by: Choi, Jaemoo, et al.
Published: (2024)
Wasserstein Distances Made Explainable: Insights Into Dataset Shifts and Transport Phenomena
by: Naumann, Philip, et al.
Published: (2025)
by: Naumann, Philip, et al.
Published: (2025)
WildSmoke: Ready-to-Use Dynamic 3D Smoke Assets from a Single Video in the Wild
by: Liu, Yuqiu, et al.
Published: (2025)
by: Liu, Yuqiu, et al.
Published: (2025)
Specifying What You Know or Not for Multi-Label Class-Incremental Learning
by: Zhang, Aoting, et al.
Published: (2025)
by: Zhang, Aoting, et al.
Published: (2025)
Towards Optimal Feature-Shaping Methods for Out-of-Distribution Detection
by: Zhao, Qinyu, et al.
Published: (2024)
by: Zhao, Qinyu, et al.
Published: (2024)
Bi-level Unbalanced Optimal Transport for Partial Domain Adaptation
by: Chen, Zi-Ying, et al.
Published: (2025)
by: Chen, Zi-Ying, et al.
Published: (2025)
Optimal Transport-Induced Samples against Out-of-Distribution Overconfidence
by: Tang, Keke, et al.
Published: (2026)
by: Tang, Keke, et al.
Published: (2026)
Preventing Local Pitfalls in Vector Quantization via Optimal Transport
by: Zhang, Borui, et al.
Published: (2024)
by: Zhang, Borui, et al.
Published: (2024)
Detecting OOD Samples via Optimal Transport Scoring Function
by: Gao, Heng, et al.
Published: (2025)
by: Gao, Heng, et al.
Published: (2025)
vFusedSeg3D: 3rd Place Solution for 2024 Waymo Open Dataset Challenge in Semantic Segmentation
by: Amjad, Osama, et al.
Published: (2024)
by: Amjad, Osama, et al.
Published: (2024)
WildLMa: Long Horizon Loco-Manipulation in the Wild
by: Qiu, Ri-Zhao, et al.
Published: (2024)
by: Qiu, Ri-Zhao, et al.
Published: (2024)
Reading Recognition in the Wild
by: Yang, Charig, et al.
Published: (2025)
by: Yang, Charig, et al.
Published: (2025)
Low-Bit, High-Fidelity: Optimal Transport Quantization for Flow Matching
by: Varam, Dara, et al.
Published: (2025)
by: Varam, Dara, 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)
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)
Optimal Transport for Handwritten Text Recognition in a Low-Resource Regime
by: Wraight, Petros Georgoulas, et al.
Published: (2025)
by: Wraight, Petros Georgoulas, et al.
Published: (2025)
What Shape Is Optimal for Masks in Text Removal?
by: Nakada, Hyakka, et al.
Published: (2025)
by: Nakada, Hyakka, et al.
Published: (2025)
Revisiting Geometric Obfuscation with Dual Convergent Lines for Privacy-Preserving Image Queries in Visual Localization
by: Kim, Jeonggon, et al.
Published: (2026)
by: Kim, Jeonggon, et al.
Published: (2026)
Power Variable Projection for Initialization-Free Large-Scale Bundle Adjustment
by: Weber, Simon, et al.
Published: (2024)
by: Weber, Simon, et al.
Published: (2024)
3D Cell Oversegmentation Correction via Geo-Wasserstein Divergence
by: Chen, Peter, et al.
Published: (2025)
by: Chen, Peter, et al.
Published: (2025)
An Optimal Transport-driven Approach for Cultivating Latent Space in Online Incremental Learning
by: Tran, Quyen, et al.
Published: (2022)
by: Tran, Quyen, et al.
Published: (2022)
Similar Items
-
FUN-AD: Fully Unsupervised Learning for Anomaly Detection with Noisy Training Data
by: Im, Jiin, et al.
Published: (2024) -
Gromov Wasserstein Optimal Transport for Semantic Correspondences
by: Snelgar, Francis, et al.
Published: (2026) -
Min Generalized Sliced Gromov Wasserstein: A Scalable Path to Gromov Wasserstein
by: Shahbazi, Ashkan, et al.
Published: (2026) -
Rethinking Model Selection in VLM Through the Lens of Gromov-Wasserstein Distance
by: Li, Muyang, et al.
Published: (2026) -
Improving Hyperbolic Representations via Gromov-Wasserstein Regularization
by: Yang, Yifei, et al.
Published: (2024)