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Semantic correspondence
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The task of semantic correspondence aims to establish reliable visual correspondence between different instances of the same object category.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Jamais Vu: Exposing the Generalization Gap in Supervised Semantic Correspondence
Do It Yourself: Learning Semantic Correspondence from Pseudo-Labels
MotionRAG-Diff: A Retrieval-Augmented Diffusion Framework for Long-Term Music-to-Dance Generation
Cora: Correspondence-aware image editing using few step diffusion
Semantic Correspondence: Unified Benchmarking and a Strong Baseline
TC-MGC: Text-Conditioned Multi-Grained Contrastive Learning for Text-Video Retrieval
Semantix: An Energy Guided Sampler for Semantic Style Transfer
SemAlign3D: Semantic Correspondence between RGB-Images through Aligning 3D Object-Class Representations
Evaluating book summaries from internal knowledge in Large Language Models: a cross-model and semantic consistency approach
FPGS: Feed-Forward Semantic-aware Photorealistic Style Transfer of Large-Scale Gaussian Splatting
Evaluation of Multilingual Image Captioning: How far can we get with CLIP models?
Towards Affordance-Aware Articulation Synthesis for Rigged Objects
Seeing Sound: Assembling Sounds from Visuals for Audio-to-Image Generation
Manga Generation via Layout-controllable Diffusion
DenseMatcher: Learning 3D Semantic Correspondence for Category-Level Manipulation from a Single Demo
A Framework For Image Synthesis Using Supervised Contrastive Learning
Multi-Level Correlation Network For Few-Shot Image Classification
CleanDIFT: Diffusion Features without Noise
Distillation of Diffusion Features for Semantic Correspondence
OmniCreator: Self-Supervised Unified Generation with Universal Editing
Integration of Contextual Descriptors in Ontology Alignment for Enrichment of Semantic Correspondence
Unleashing the Potential of the Diffusion Model in Few-shot Semantic Segmentation
DreamMover: Leveraging the Prior of Diffusion Models for Image Interpolation with Large Motion
MOSMOS: Multi-organ segmentation facilitated by medical report supervision
CONDA: Condensed Deep Association Learning for Co-Salient Object Detection
SGOR: Outlier Removal by Leveraging Semantic and Geometric Information for Robust Point Cloud Registration
GPT-4o: Visual perception performance of multimodal large language models in piglet activity understanding
Advanced Multimodal Deep Learning Architecture for Image-Text Matching
Eye-for-an-eye: Appearance Transfer with Semantic Correspondence in Diffusion Models
Zero-shot Image Editing with Reference Imitation
Zero-Shot Video Semantic Segmentation based on Pre-Trained Diffusion Models
CoHD: A Counting-Aware Hierarchical Decoding Framework for Generalized Referring Expression Segmentation
Semantic Gesticulator: Semantics-Aware Co-Speech Gesture Synthesis
Factual Serialization Enhancement: A Key Innovation for Chest X-ray Report Generation
Learning SO(3)-Invariant Semantic Correspondence via Local Shape Transform
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