Semantic Correspondence

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Overview

Semantic correspondence studies how to identify the same meaningful points or parts across different images or 3D shapes, even when objects look different, move, or deform. Methods use pretrained vision features from models such as DINO and diffusion networks, often combined with keypoint supervision, language-guided parts, 3D geometry, optimal transport, or coarse-to-fine matching. Performance is commonly evaluated on visual benchmarks such as SPair-71k, PF-PASCAL, and AP-10K, and on shape correspondence tasks using measures such as keypoint accuracy and geodesic error. Foundation features have made strong matching possible with less annotation, but precise localization, transfer to unseen categories, and globally coherent matches remain difficult.

Latest papers

CardsList

24 papers5 papers in the last four weeks, up 67% on the four weeks before. 0.0% of all new papers.

  1. SemGeo-Gen: Unsupervised Generation of Approximate Cross-Instance Semantic-Geometric Correspondences

    Oct 23, 2026Roy Amoyal, Shira Ifergane, Oren FreifeldSemantic Correspondence

    The Stein Faculty of Computer and Information Science, Ben-Gurion University of the Negev, Israel

  2. The Geometry of Meaning in Neural Manifolds

    Oct 22, 2026Valentino MaiorcaNeural Representation GeometrySemantic Correspondence

    Department of Computer Science, Faculty of Information Engineering, Informatics, and Statistics, Sapienza University of Rome

  3. Where meanings converge and diverge: Revisiting linguistic relativity across 81 languages

    Oct 22, 2026Weiran Wang, Wenjuan Qin, Haitao LiuSemantic CorrespondenceCross-Lingual Representation Alignment

    Fudan University, Shanghai 200433, China

  4. Self-Supervised Learning of Semantically Consistent Visual Features via a Simple 3D Prior

    Oct 12, 2026Sebastian Day, Oisin Mac AodhaSelf-Supervised Visual Representation LearningSemantic Correspondence

    University of Edinburgh

  5. ARCH-B: Architectural Representation, Comprehension and Hierarchy Benchmark

    Sep 28, 2026Kieran Sagar Parikh, Jose Luis Garcia del Castillo y LopezSemantic CorrespondenceCross-Modal Alignment

    Harvard University · Northeastern University

  6. ImCorr: Sub-pixel Semantic Correspondence via Implicit Feature Decoding

    Sep 24, 2026Yusung ChoiSemantic CorrespondenceImplicit Neural Representations

    Pukyong National University, Busan, Republic of Korea

  7. Computation Over Geometry: Meaning Identity Is Computed, Not Shipped in the Embeddings

    Sep 23, 2026Jiaqi DengSemantic CorrespondenceCross-Encoder Reranking

    Independent Researcher

  8. Diffusion Trajectory Modeling for Semantic Correspondence

    Sep 14, 2026Yusung ChoiSemantic CorrespondenceDiffusion Models

    Department of Computer Engineering Pukyong National University Busan, Republic of Korea

  9. Constraining ontology mappings using metaphysical choices

    Aug 8, 2026Giacomo De Colle, Helena Blackmore, Chris PartridgeSemantic Correspondence

  10. Syntax Meets Semantics: Understanding Scientific Formulae

    Aug 3, 2026Yuni Susanti, Moritz SchubotzSemantic CorrespondenceCross-Modal Representation Learning

    FIZ Karlsruhe Berlin, Germany

  11. SemAnCorr: Semantic Anchored Correspondence for Zero-Shot Manipulation Skill Transfer

    Jul 30, 2026Xiaoxiang Dong, William Baron, Hongyi Chen +3Semantic CorrespondenceZero-Shot Robotic Manipulation

    Robotics Institute, Carnegie Mellon University, USA. · College of Connected Computing, Vanderbilt University, USA. · College of Engineering, University of California, Berkeley, USA. +1

  12. OASIS-Map: Object-Level Change Detection in Multi-Session Mapping using Semantic Correspondence Matching

    Jul 16, 2026Haedam Oh, Yifu Tao, Nived Chebrolu +1Semantic CorrespondenceSemantic Change Detection

    Oxford Robotics Institute, Department of Engineering Science, University of Oxford, UK · Department of Computer Science and Engineering, Indian Institute of Technology Bombay, India

  13. Emergent Region-Level Facial Correspondence in Frozen Vision Foundation Models

    Jul 15, 2026Izaldein Al-Zyoud, Abdulmotaleb El SaddikSemantic CorrespondenceVision Foundation Models

    MCRLab, School of Electrical Engineering and Computer Science University of Ottawa, Ottawa, ON, Canada

  14. MiqraBERT: Regression-Based Sentence-BERT Finetuning for Biblical Hebrew Parallel Detection

    Jun 17, 2026David M. SmileySemantic CorrespondenceSemantic Textual Similarity

    University of Notre Dame

  15. ViT-Up: Faithful Feature Upsampling for Vision Transformers

    Jun 12, 2026Krispin Wandel, Jingchuan Wang, Hesheng WangSemantic CorrespondenceVision Transformer

    Shanghai Jiao Tong University, Shanghai, China

  16. SOCO: Benchmarking Semantic Object Correspondence in Vision Foundation Models

    May 29, 2026Olaf Dünkel, Basavaraj Sunagad, Haoran Wang +3VLM EvaluationSemantic Correspondence

    Max Planck Institute for Informatics, SIC · CISPA Helmholtz Center for Information Security · University of Freiburg

  17. Geometry Matters: 3D Foundation Priors for Learning Semantic Correspondence

    May 28, 2026Artur Jesslen, Olaf Dünkel, Adam KortylewskiSemantic Correspondence

    University of Freiburg, Germany · Max Planck Institute for Informatics, Saarland Informatics Campus, Germany · CISPA Helmholtz Center for Information Security, Germany

  18. MARCO: Navigating the Unseen Space of Semantic Correspondence

    Apr 20, 2026Claudia Cuttano, Gabriele Trivigno, Carlo Masone +1Semantic Correspondence

    Politecnico di Torino · TU Darmstadt · ELIZA

  19. Shape-of-You: Fused Gromov-Wasserstein Optimal Transport for Semantic Correspondence in-the-Wild

    Mar 12, 2026Jiin Im, Sisung Liu, Je Hyeong HongSemantic CorrespondenceOptimal Transport

    Dept. Electronic Engineering, Hanyang University · Dept. Artificial Intelligence, Hanyang University

  20. GLASS: Graph and Vision-Language Assisted Semantic Shape Correspondence

    Mar 8, 2026Qinfeng Xiao, Guofeng Mei, Qilong Liu +53D Shape MatchingSemantic Correspondence

    Hong Kong Polytechnic University, HK SAR · Fondazione Bruno Kessler, Italy · Laboratory for Artificial Intelligence in Design, HK SAR +1

  21. Universal 3D Shape Matching via Coarse-to-Fine Language Guidance

    Feb 22, 2026Qinfeng Xiao, Guofeng Mei, Bo Yang +33D Shape MatchingSemantic Correspondence

    Hong Kong Polytechnic University, HK SAR · Fondazione Bruno Kessler, Italy · University of Technology Sydney, Australia

  22. CORAL: Correspondence Alignment for Improved Virtual Try-On

    Feb 19, 2026Jiyoung Kim, Youngjin Shin, Siyoon Jin +6Virtual Try-OnDiffusion Model Alignment

    KAIST AI · NC AI Co., Ltd.

  23. CoCoDiff: Correspondence-Consistent Diffusion Model for Fine-grained Style Transfer

    Feb 16, 2026Wenbo Nie, Zixiang Li, Renshuai Tao +3Cycle ConsistencyImage Style Transfer

    Institute of Information Science, Beijing Jiaotong University · Visual Intelligence + X International Joint Laboratory of the Ministry of Education

  24. Semantic Correspondence: Unified Benchmarking and a Strong Baseline

    May 23, 2025Kaiyan Zhang, Xinghui Li, Jingyi Lu +1Semantic Correspondence

    University of Hong Kong, Hong Kong · Department of Engineering, University of Oxford, OX1 3PJ Oxford, U.K.