Cover Image

Gromov Wasserstein Optimal Transport for Semantic Correspondences

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Snelgar, Francis, Gould, Stephen, Xu, Ming, Zheng, Liang, Asthana, Akshay
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Flexible Geometric Guidance for Probabilistic Human Pose Estimation with Diffusion Models
by: Snelgar, Francis, et al.
Published: (2026)

Shape-of-You: Fused Gromov-Wasserstein Optimal Transport for Semantic Correspondence in-the-Wild
by: Im, Jiin, et al.
Published: (2026)

Towards Optimal Feature-Shaping Methods for Out-of-Distribution Detection
by: Zhao, Qinyu, et al.
Published: (2024)

Can We Predict Performance of Large Models across Vision-Language Tasks?
by: Zhao, Qinyu, et al.
Published: (2024)

The First to Know: How Token Distributions Reveal Hidden Knowledge in Large Vision-Language Models?
by: Zhao, Qinyu, et al.
Published: (2024)

DiSA: Diffusion Step Annealing in Autoregressive Image Generation
by: Zhao, Qinyu, et al.
Published: (2025)

Procedure Learning via Regularized Gromov-Wasserstein Optimal Transport
by: Mahmood, Syed Ahmed, et al.
Published: (2025)

Temporally Consistent Unbalanced Optimal Transport for Unsupervised Action Segmentation
by: Xu, Ming, et al.
Published: (2024)

Min Generalized Sliced Gromov Wasserstein: A Scalable Path to Gromov Wasserstein
by: Shahbazi, Ashkan, et al.
Published: (2026)

ARINAR: Bi-Level Autoregressive Feature-by-Feature Generative Models
by: Zhao, Qinyu, et al.
Published: (2025)

The Joint Gromov Wasserstein Objective for Multiple Object Matching
by: Riahi, Aryan Tajmir, et al.
Published: (2025)

Multi-view Action Recognition via Directed Gromov-Wasserstein Discrepancy
by: Nguyen, Hoang-Quan, et al.
Published: (2024)

Improving Hyperbolic Representations via Gromov-Wasserstein Regularization
by: Yang, Yifei, et al.
Published: (2024)

SGW-GAN: Sliced Gromov-Wasserstein Guided GANs for Retinal Fundus Image Enhancement
by: Xiong, Yujian, et al.
Published: (2026)

Unifying Feature and Cost Aggregation with Transformers for Semantic and Visual Correspondence
by: Hong, Sunghwan, et al.
Published: (2024)

Gromov-Wasserstein-like Distances in the Gaussian Mixture Models Space
by: Salmona, Antoine, et al.
Published: (2023)

Hierarchical Neural Semantic Representation for 3D Semantic Correspondence
by: Du, Keyu, et al.
Published: (2025)

Rethinking Model Selection in VLM Through the Lens of Gromov-Wasserstein Distance
by: Li, Muyang, et al.
Published: (2026)

Telling Left from Right: Identifying Geometry-Aware Semantic Correspondence
by: Zhang, Junyi, et al.
Published: (2023)

Distillation of Diffusion Features for Semantic Correspondence
by: Fundel, Frank, et al.
Published: (2024)

OT-VP: Optimal Transport-guided Visual Prompting for Test-Time Adaptation
by: Zhang, Yunbei, et al.
Published: (2024)

Scalable Wasserstein Gradient Flow for Generative Modeling through Unbalanced Optimal Transport
by: Choi, Jaemoo, et al.
Published: (2024)

Integrating Efficient Optimal Transport and Functional Maps For Unsupervised Shape Correspondence Learning
by: Le, Tung, et al.
Published: (2024)

SONIC: Sonar Image Correspondence using Pose Supervised Learning for Imaging Sonars
by: Gode, Samiran, et al.
Published: (2023)

MARCO: Navigating the Unseen Space of Semantic Correspondence
by: Cuttano, Claudia, et al.
Published: (2026)

PlatonicNav: Unveiling Semantic Correspondence in Navigation with Platonic Topological Maps
by: Long, Junlin, et al.
Published: (2026)

Globally Optimal Solution to the Generalized Relative Pose Estimation Problem using Affine Correspondences
by: Yu, Zhenbao, et al.
Published: (2025)

Semantic Correspondence: Unified Benchmarking and a Strong Baseline
by: Zhang, Kaiyan, et al.
Published: (2025)

Improving Semantic Correspondence with Viewpoint-Guided Spherical Maps
by: Mariotti, Octave, et al.
Published: (2023)

Towards Robust Semantic Correspondence: A Benchmark and Insights
by: Chong, Wenyue
Published: (2025)

Independently Keypoint Learning for Small Object Semantic Correspondence
by: Jin, Hailong, et al.
Published: (2024)

SimFlow: Simplified and End-to-End Training of Latent Normalizing Flows
by: Zhao, Qinyu, et al.
Published: (2025)

OV-COAST: Cost Aggregation with Optimal Transport for Open-Vocabulary Semantic Segmentation
by: Gandhamal, Aditya, et al.
Published: (2025)

COG: Confidence-aware Optimal Geometric Correspondence for Unsupervised Single-reference Novel Object Pose Estimation
by: Che, Yuchen, et al.
Published: (2026)

OTMatch: Improving Semi-Supervised Learning with Optimal Transport
by: Tan, Zhiquan, et al.
Published: (2023)

GLASS: Graph and Vision-Language Assisted Semantic Shape Correspondence
by: Xiao, Qinfeng, et al.
Published: (2026)

SOCO: Benchmarking Semantic Object Correspondence in Vision Foundation Models
by: Dünkel, Olaf, et al.
Published: (2026)

Do It Yourself: Learning Semantic Correspondence from Pseudo-Labels
by: Dünkel, Olaf, et al.
Published: (2025)

Jamais Vu: Exposing the Generalization Gap in Supervised Semantic Correspondence
by: Mariotti, Octave, et al.
Published: (2025)

Similarity-Aware Selective State-Space Modeling for Semantic Correspondence
by: Kim, Seungwook, et al.
Published: (2025)