SOTAVerified

Semantic correspondence

The task of semantic correspondence aims to establish reliable visual correspondence between different instances of the same object category.

Papers

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Showing 1–50 of 175 papers

TitleStatusHype
RL from Physical Feedback: Aligning Large Motion Models with Humanoid Control—0
Jamais Vu: Exposing the Generalization Gap in Supervised Semantic Correspondence—0
Do It Yourself: Learning Semantic Correspondence from Pseudo-Labels—0
MotionRAG-Diff: A Retrieval-Augmented Diffusion Framework for Long-Term Music-to-Dance Generation—0
Cora: Correspondence-aware image editing using few step diffusionCode1
Semantic Correspondence: Unified Benchmarking and a Strong BaselineCode1
TC-MGC: Text-Conditioned Multi-Grained Contrastive Learning for Text-Video RetrievalCode0
SemAlign3D: Semantic Correspondence between RGB-Images through Aligning 3D Object-Class Representations—0
Semantix: An Energy Guided Sampler for Semantic Style Transfer—0
Evaluating book summaries from internal knowledge in Large Language Models: a cross-model and semantic consistency approach—0
FPGS: Feed-Forward Semantic-aware Photorealistic Style Transfer of Large-Scale Gaussian Splatting—0
Evaluation of Multilingual Image Captioning: How far can we get with CLIP models?Code0
Towards Affordance-Aware Articulation Synthesis for Rigged Objects—0
Seeing Sound: Assembling Sounds from Visuals for Audio-to-Image Generation—0
Common3D: Self-Supervised Learning of 3D Morphable Models for Common Objects in Neural Feature SpaceCode0
Bridging Viewpoint Gaps: Geometric Reasoning Boosts Semantic Correspondence—0
Self-Supervised Spatial Correspondence Across Modalities—0
Manga Generation via Layout-controllable Diffusion—0
DenseMatcher: Learning 3D Semantic Correspondence for Category-Level Manipulation from a Single Demo—0
A Framework For Image Synthesis Using Supervised Contrastive Learning—0
Distillation of Diffusion Features for Semantic Correspondence—0
Multi-Level Correlation Network For Few-Shot Image ClassificationCode0
CleanDIFT: Diffusion Features without NoiseCode2
OmniCreator: Self-Supervised Unified Generation with Universal Editing—0
Integration of Contextual Descriptors in Ontology Alignment for Enrichment of Semantic Correspondence—0
Unleashing the Potential of the Diffusion Model in Few-shot Semantic SegmentationCode1
DreamMover: Leveraging the Prior of Diffusion Models for Image Interpolation with Large Motion—0
MOSMOS: Multi-organ segmentation facilitated by medical report supervision—0
CONDA: Condensed Deep Association Learning for Co-Salient Object Detection—0
SGOR: Outlier Removal by Leveraging Semantic and Geometric Information for Robust Point Cloud RegistrationCode0
GPT-4o: Visual perception performance of multimodal large language models in piglet activity understanding—0
Advanced Multimodal Deep Learning Architecture for Image-Text Matching—0
Zero-shot Image Editing with Reference ImitationCode5
Eye-for-an-eye: Appearance Transfer with Semantic Correspondence in Diffusion Models—0
Zero-Shot Video Semantic Segmentation based on Pre-Trained Diffusion ModelsCode2
CoHD: A Counting-Aware Hierarchical Decoding Framework for Generalized Referring Expression SegmentationCode1
Semantic Gesticulator: Semantics-Aware Co-Speech Gesture SynthesisCode3
Factual Serialization Enhancement: A Key Innovation for Chest X-ray Report GenerationCode1
Learning SO(3)-Invariant Semantic Correspondence via Local Shape Transform—0
Independently Keypoint Learning for Small Object Semantic Correspondence—0
Robo-ABC: Affordance Generalization Beyond Categories via Semantic Correspondence for Robot Manipulation—0
FPRF: Feed-Forward Photorealistic Style Transfer of Large-Scale 3D Neural Radiance Fields—0
Making Visual Sense of Oracle Bones for You and MeCode0
Pixel-level Semantic Correspondence through Layout-aware Representation Learning and Multi-scale Matching IntegrationCode0
Improving Semantic Correspondence with Viewpoint-Guided Spherical Maps—0
CL2CM: Improving Cross-Lingual Cross-Modal Retrieval via Cross-Lingual Knowledge Transfer—0
Patch-wise Graph Contrastive Learning for Image TranslationCode1
StableVITON: Learning Semantic Correspondence with Latent Diffusion Model for Virtual Try-OnCode3
Match me if you can: Semi-Supervised Semantic Correspondence Learning with Unpaired ImagesCode0
Telling Left from Right: Identifying Geometry-Aware Semantic CorrespondenceCode1
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All datasetsSPair-71kPF-PASCALPF-WILLOWCaltech-101AP-10KCUB-200-2011

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GeoAware-SC (Supervised, AP-10K P.T.)PCK85.6—Unverified
2DINOv2PCK85.2—Unverified
3GeoAware-SC (Supervised)PCK82.9—Unverified
4SD+DINO (Supervised)PCK74.6—Unverified
5GeoAware-SC + CleanDIFT (Zero-Shot)PCK70—Unverified
6GeoAware-SC (Zero-Shot)PCK68.5—Unverified
7SD+DINO + CleanDIFT (Zero-Shot)PCK64.8—Unverified
8IFCATPCK64.4—Unverified
9SD+DINO (Zero-shot)PCK64—Unverified
10DIFT + CleanDIFT (Zero-Shot)PCK61.4—Unverified
#ModelMetricClaimedVerifiedStatus
1DINOv2PCK95.8—Unverified
2GeoAware-SC (Supervised, AP-10K P.T.)PCK95.7—Unverified
3GeoAware-SC (Supervised)PCK95.1—Unverified
4CATs++PCK93.8—Unverified
5SD+DINO (Supervised)PCK93.6—Unverified
6CATsPCK92.6—Unverified
7VAT (ECCV)PCK92.3—Unverified
8VATPCK92.3—Unverified
9CHMPCK91.6—Unverified
10DHPFPCK90.7—Unverified
#ModelMetricClaimedVerifiedStatus
1LDMCorrespondencesPCK84.3—Unverified
2VAT (ECCV)PCK81.6—Unverified
3VATPCK81—Unverified
4CHMPCK79.4—Unverified
5CATsPCK79.2—Unverified
6SCOTPCK78.1—Unverified
7DHPFPCK77.6—Unverified
8HPFPCK76.3—Unverified
#ModelMetricClaimedVerifiedStatus
1HPFIoU63—Unverified
2DHPFIoU62—Unverified
#ModelMetricClaimedVerifiedStatus
1DINOv2PCK87.4—Unverified
#ModelMetricClaimedVerifiedStatus
1LDM CorrespondencesMean PCK@0.0561.6—Unverified