{"total":63,"rows":[{"id":"2403.14548","title":"DINO-Tracker: Taming DINO for Self-Supervised Point Tracking in a Single Video","created":"2024-03-21","cited_by_count":64,"area":null},{"id":"2407.04689","title":"RAM: Retrieval-Based Affordance Transfer for Generalizable Zero-Shot Robotic Manipulation","created":"2024-07-05","cited_by_count":58,"area":null},{"id":"2502.17327","title":"AnyTop: Character Animation Diffusion with Any Topology","created":"2025-02-24","cited_by_count":41,"area":null},{"id":"2312.13216","title":"Improving Semantic Correspondence with Viewpoint-Guided Spherical Maps","created":"2023-12-20","cited_by_count":34,"area":null},{"id":"2412.03512","title":"Distillation of Diffusion Features for Semantic Correspondence","created":"2024-12-04","cited_by_count":17,"area":null},{"id":"2405.18065","title":"EffoVPR: Effective Foundation Model Utilization for Visual Place Recognition","created":"2024-05-28","cited_by_count":15,"area":null},{"id":"2408.13575","title":"Can Visual Foundation Models Achieve Long-term Point Tracking?","created":"2024-08-24","cited_by_count":14,"area":null},{"id":"2509.01977","title":"MOSAIC: Multi-Subject Personalized Generation via Correspondence-Aware Alignment and Disentanglement","created":"2025-09-02","cited_by_count":14,"area":null},{"id":"2506.05312","title":"Do It Yourself: Learning Semantic Correspondence from Pseudo-Labels","created":"2025-06-05","cited_by_count":13,"area":null},{"id":"2407.18907","title":"SHIC: Shape-Image Correspondences with no Keypoint Supervision","created":"2024-07-26","cited_by_count":12,"area":null},{"id":"2501.14945","title":"MATCHA:Towards Matching Anything","created":"2025-01-24","cited_by_count":12,"area":null},{"id":"2603.28480","title":"INSID3: Training-Free In-Context Segmentation with DINOv3","created":"2026-03-30","cited_by_count":12,"area":null},{"id":"2403.14526","title":"Click to Grasp: Zero-Shot Precise Manipulation via Visual Diffusion Descriptors","created":"2024-03-21","cited_by_count":11,"area":null},{"id":"2409.16178","title":"SDFit: 3D Object Pose and Shape by Fitting a Morphable SDF to a Single Image","created":"2024-09-24","cited_by_count":9,"area":null},{"id":"2501.01409","title":"JOG3R: Towards 3D-Consistent Video Generators","created":"2025-01-02","cited_by_count":9,"area":null},{"id":"2502.12640","title":"RecDreamer: Consistent Text-to-3D Generation via Uniform Score Distillation","created":"2025-02-18","cited_by_count":9,"area":null},{"id":"2504.21749","title":"Common3D: Self-Supervised Learning of 3D Morphable Models for Common Objects in Neural Feature Space","created":"2025-04-30","cited_by_count":9,"area":null},{"id":"2505.21795","title":"SANSA: Unleashing the Hidden Semantics in SAM2 for Few-Shot Segmentation","created":"2025-05-27","cited_by_count":8,"area":null},{"id":"2503.21766","title":"Stable-SCore: A Stable Registration-based Framework for 3D Shape Correspondence","created":"2025-03-27","cited_by_count":7,"area":null},{"id":"2503.22462","title":"SemAlign3D: Semantic Correspondence between RGB-Images through Aligning 3D Object-Class Representations","created":"2025-03-28","cited_by_count":7,"area":null},{"id":"2408.00458","title":"Reenact Anything: Semantic Video Motion Transfer Using Motion-Textual Inversion","created":"2024-08-01","cited_by_count":6,"area":null},{"id":"2506.08220","title":"Jamais Vu: Exposing the Generalization Gap in Supervised Semantic Correspondence","created":"2025-06-09","cited_by_count":6,"area":null},{"id":"2507.14367","title":"Hallucination Score: Towards Mitigating Hallucinations in Generative Image Super-Resolution","created":"2025-07-18","cited_by_count":6,"area":null},{"id":"2508.00746","title":"GECO: Geometrically Consistent Embedding with Lightspeed Inference","created":"2025-08-01","cited_by_count":6,"area":null},{"id":"2503.18254","title":"Surface-Aware Distilled 3D Semantic Features","created":"2025-03-24","cited_by_count":5,"area":null},{"id":"2411.16668","title":"Diffusion Features for Zero-Shot 6DoF Object Pose Estimation","created":"2024-11-25","cited_by_count":4,"area":null},{"id":"2503.14129","title":"SketchFusion: Learning Universal Sketch Features through Fusing Foundation Models","created":"2025-03-18","cited_by_count":4,"area":null},{"id":"2503.15897","title":"Learning 3D Scene Analogies with Neural Contextual Scene Maps","created":"2025-03-20","cited_by_count":4,"area":null},{"id":"2501.03220","title":"ProTracker: Probabilistic Integration for Robust and Accurate Point Tracking","created":"2025-01-06","cited_by_count":3,"area":null},{"id":"2505.18060","title":"Semantic Correspondence: Unified Benchmarking and a Strong Baseline","created":"2025-05-23","cited_by_count":3,"area":null},{"id":"2506.03148","title":"Self-Supervised Spatial Correspondence Across Modalities","created":"2025-06-03","cited_by_count":3,"area":null},{"id":"2508.05505","title":"Symmetry Understanding of 3D Shapes via Chirality Disentanglement","created":"2025-08-07","cited_by_count":3,"area":null},{"id":"2509.21263","title":"Towards Geometry-Grounded Dense Semantic Matching with VGGT Priors","created":"2025-09-25","cited_by_count":3,"area":null},{"id":"2604.18267","title":"MARCO: Navigating the Unseen Space of Semantic Correspondence","created":"2026-04-20","cited_by_count":3,"area":null},{"id":"2412.10308","title":"TrafficLoc: Localizing Traffic Surveillance Cameras in 3D Scenes","created":"2024-12-13","cited_by_count":2,"area":null},{"id":"2503.04545","title":"ViT-VS: On the Applicability of Pretrained Vision Transformer Features for Generalizable Visual Servoing","created":"2025-03-06","cited_by_count":2,"area":null},{"id":"2512.15708","title":"Multi-View Foundation Models","created":"2025-12-17","cited_by_count":2,"area":null},{"id":"2601.14804","title":"Symmetry Informative and Agnostic Feature Disentanglement for 3D Shapes","created":"2026-01-21","cited_by_count":2,"area":null},{"id":"2603.03278","title":"Tether: Autonomous Functional Play with Correspondence-Driven Trajectory Warping","created":"2026-03-03","cited_by_count":2,"area":null},{"id":"2507.02314","title":"MAGIC: Few-Shot Mask-Guided Anomaly Inpainting with Prompt Perturbation, Spatially Adaptive Guidance, and Context Awareness","created":"2025-07-03","cited_by_count":1,"area":null},{"id":"2507.03292","title":"Zero-shot Inexact CAD Model Alignment from a Single Image","created":"2025-07-04","cited_by_count":1,"area":null},{"id":"2507.19983","title":"CLASP: General-Purpose Clothes Manipulation with Semantic Keypoints","created":"2025-07-26","cited_by_count":1,"area":null},{"id":"2510.22842","title":"FastJAM: a Fast Joint Alignment Model for Images","created":"2025-10-26","cited_by_count":1,"area":null},{"id":"2510.25512","title":"FaCT: Faithful Concept Traces for Explaining Neural Network Decisions","created":"2025-10-29","cited_by_count":1,"area":null},{"id":"2601.02716","title":"MorphGS: Morphology-Adaptive Articulated 3D Motion Transfer from Videos","created":"2026-01-06","cited_by_count":1,"area":null},{"id":"2603.11618","title":"Shape-of-You: Fused Gromov-Wasserstein Optimal Transport for Semantic Correspondence in-the-Wild","created":"2026-03-12","cited_by_count":1,"area":null},{"id":"2605.18039","title":"SGSoft: Learning Fused Semantic-Geometric Features for 3D Shape Correspondence via Template-Guided Soft Signals","created":"2026-05-18","cited_by_count":1,"area":null},{"id":"2607.05007","title":"Quantum-Inspired Harmonic Decision Models: A Computational Framework for Music Generation","created":"2026-07-06","cited_by_count":1,"area":null},{"id":"2403.08227","title":"Matching Semantically Similar Non-Identical Objects","created":"2024-03-13","cited_by_count":0,"area":null},{"id":"2411.16665","title":"Edge Weight Prediction For Category-Agnostic Pose Estimation","created":"2024-11-25","cited_by_count":0,"area":null},{"id":"2501.12393","title":"Towards Affordance-Aware Articulation Synthesis for Rigged Objects","created":"2025-01-21","cited_by_count":0,"area":null},{"id":"2503.20220","title":"DINeMo: Learning Neural Mesh Models with no 3D Annotations","created":"2025-03-26","cited_by_count":0,"area":null},{"id":"2508.00272","title":"Towards Robust Semantic Correspondence: A Benchmark and Insights","created":"2025-08-01","cited_by_count":0,"area":null},{"id":"2511.02830","title":"Densemarks: Learning Canonical Embeddings for Human Heads Images via Point Tracks","created":"2025-11-04","cited_by_count":0,"area":null},{"id":"2511.19909","title":"Motion Marionette: Rethinking Rigid Motion Transfer via Prior Guidance","created":"2025-11-25","cited_by_count":0,"area":null},{"id":"2601.12357","title":"SimpleMatch: A Simple and Strong Baseline for Semantic Correspondence","created":"2026-01-18","cited_by_count":0,"area":null},{"id":"2603.21936","title":"Cross-Instance Gaussian Splatting Registration via Geometry-Aware Feature-Guided Alignment","created":"2026-03-23","cited_by_count":0,"area":null},{"id":"2603.24713","title":"Lookalike3D: Seeing Double in 3D","created":"2026-03-25","cited_by_count":0,"area":null},{"id":"2604.23670","title":"Preserve, Then Resolve: Many-to-Many Association and Robust Estimation with General-Purpose Visual Features","created":"2026-04-26","cited_by_count":0,"area":null},{"id":"2605.27938","title":"SEMAGIC: Learning Semantically Consistent Deformable 3D Representations from In-the-Wild Images","created":"2026-05-27","cited_by_count":0,"area":null},{"id":"2605.31597","title":"SOCO: Benchmarking Semantic Object Correspondence in Vision Foundation Models","created":"2026-05-29","cited_by_count":0,"area":null},{"id":"2608.27407","title":"Reconstructing Humans and Objects in Interaction using Large Reconstruction Models","created":"2026-08-27","cited_by_count":0,"area":null},{"id":"2609.29193","title":"ImCorr: Sub-pixel Semantic Correspondence via Implicit Feature Decoding","created":"2026-09-24","cited_by_count":0,"area":null}],"next_cursor":null}