Papers Point Tracking
“Point Tracking” 태그가 달린 논문 234편 · 필터 해제
Quantitative Video World Model Evaluation for Geometric-Consistency
Generative video models are increasingly studied as implicit world models, yet evaluating whether they produce physically plausible 3D structure and motion remains challenging. Most existing video evaluation pipelines re…
Video GenerationPoint TrackingDrag within Prior Distribution: Text-Conditioned Point-Based Image Editing within Distribution Constraints
Diffusion-based point editing methods have gained significant traction in image editing tasks due to their ability to manipulate image semantics and fine details by applying localized perturbations on the manifold of noi…
Point TrackingImage EditingEchoTracker2: Enhancing Myocardial Point Tracking by Modeling Local Motion
Myocardial point tracking (MPT) has recently emerged as a promising direction for motion estimation in echocardiography, driven by advances in general-purpose point tracking methods. However, myocardial motion fundamenta…
Point TrackingVFM-SDM: A vision foundation model-based framework for training-free, marker-free, and calibration-free structural displacement measurement
Reliable displacement measurement is fundamental for structural health monitoring and digital engineering workflows, as it provides direct structural response information. Vision-based measurement has emerged as a promis…
Point TrackingDecentralized Time-Varying Optimization for Streaming Data via Temporal Weighting
Classical optimization theory largely focuses on fixed objective functions, whereas many modern learning systems operate in dynamic environments where data arrive sequentially and decisions must be updated continuously. …
Point TrackingGraph-SND: Sparse Aggregation for Behavioral Diversity in Multi-Agent Reinforcement Learning
System Neural Diversity (SND) measures behavioral heterogeneity in multi-agent reinforcement learning by averaging pairwise distances over all $\binom{n}{2}$ agent pairs, making each call quadratic in team size. We intro…
Multi-agent Reinforcement LearningPoint TrackingSyn4D: A Multiview Synthetic 4D Dataset
Dense 3D reconstruction and tracking of dynamic scenes from monocular video remains an important open challenge in computer vision. Progress in this area has been constrained by the scarcity of high-quality datasets with…
Scene Understanding3D ReconstructionPose EstimationPoint TrackingFace Anything: 4D Face Reconstruction from Any Image Sequence
Accurate reconstruction and tracking of dynamic human faces from image sequences is challenging because non-rigid deformations, expression changes, and viewpoint variations occur simultaneously, creating significant ambi…
Dynamic ReconstructionDepth EstimationPoint TrackingTAPNext++: What's Next for Tracking Any Point (TAP)?
Tracking-Any-Point (TAP) models aim to track any point through a video which is a crucial task in AR/XR and robotics applications. The recently introduced TAPNext approach proposes an end-to-end, recurrent transformer ar…
Point TrackingSceneScribe-1M: A Large-Scale Video Dataset with Comprehensive Geometric and Semantic Annotations
The convergence of 3D geometric perception and video synthesis has created an unprecedented demand for large-scale video data that is rich in both semantic and spatio-temporal information. While existing datasets have ad…
Monocular Depth EstimationVideo GenerationPoint TrackingTrackerSplat: Exploiting Point Tracking for Fast and Robust Dynamic 3D Gaussians Reconstruction
Recent advancements in 3D Gaussian Splatting (3DGS) have demonstrated its potential for efficient and photorealistic 3D reconstructions, which is crucial for diverse applications such as robotics and immersive media. How…
Point TrackingA 4D Representation for Training-Free Agentic Reasoning from Monocular Laparoscopic Video
Spatiotemporal reasoning is a fundamental capability for artificial intelligence (AI) in soft tissue surgery, paving the way for intelligent assistive systems and autonomous robotics. While 2D vision-language models show…
Point TrackingA Predictive Control Strategy to Offset-Point Tracking for Agricultural Mobile Robots
Robots are increasingly being deployed in agriculture to support sustainable practices and improve productivity. They offer strong potential to enable precise, efficient, and environmentally friendly operations. However,…
Point TrackingComplet4R: Geometric Complete 4D Reconstruction
We introduce Complet4R, a novel end-to-end framework for Geometric Complete 4D Reconstruction, which aims to recover temporally coherent and geometrically complete reconstruction for dynamic scenes. Our method formalizes…
Point TrackingMegaFlow: Zero-Shot Large Displacement Optical Flow
Accurate estimation of large displacement optical flow remains a critical challenge. Existing methods typically rely on iterative local search or/and domain-specific fine-tuning, which severely limits their performance i…
Zero-shot GeneralizationPoint TrackingTETO: Tracking Events with Teacher Observation for Motion Estimation and Frame Interpolation
Event cameras capture per-pixel brightness changes with microsecond resolution, offering continuous motion information lost between RGB frames. However, existing event-based motion estimators depend on large-scale synthe…
Knowledge DistillationPoint TrackingM2P: Improving Visual Foundation Models with Mask-to-Point Weakly-Supervised Learning for Dense Point Tracking
Tracking Any Point (TAP) has emerged as a fundamental tool for video understanding. Current approaches adapt Vision Foundation Models (VFMs) like DINOv2 via offline finetuning or test-time optimization. However, these VF…
Video Object SegmentationRepresentation LearningPoint TrackingReal-World Point Tracking with Verifier-Guided Pseudo-Labeling
Models for long-term point tracking are typically trained on large synthetic datasets. The performance of these models degrades in real-world videos due to different characteristics and the absence of dense ground-truth …
Point TrackingTAPFormer: Robust Arbitrary Point Tracking via Transient Asynchronous Fusion of Frames and Events
Tracking any point (TAP) is a fundamental yet challenging task in computer vision, requiring high precision and long-term motion reasoning. Recent attempts to combine RGB frames and event streams have shown promise, yet …
Point TrackingGeometry OR Tracker: Universal Geometric Operating Room Tracking
In operating rooms (OR), world-scale multi-view 3D tracking supports downstream applications such as surgeon behavior recognition, where physically meaningful quantities such as distances and motion statistics must be me…
Point Tracking