Point Tracking
20 papers with code • 2 benchmarks • 2 datasets
TAP-Vid
PointOdyssey
Most implemented papers
Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold
Synthesizing visual content that meets users' needs often requires flexible and precise controllability of the pose, shape, expression, and layout of the generated objects.
TAP-Vid: A Benchmark for Tracking Any Point in a Video
deepmind/tapnet
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Generic motion understanding from video involves not only tracking objects, but also perceiving how their surfaces deform and move.
PointOdyssey: A Large-Scale Synthetic Dataset for Long-Term Point Tracking
Our goal is to advance the state-of-the-art by placing emphasis on long videos with naturalistic motion.
Beyond Correlation Filters: Learning Continuous Convolution Operators for Visual Tracking
martin-danelljan/Continuous-ConvOp
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We also demonstrate the effectiveness of our learning formulation in extensive feature point tracking experiments.
CarFusion: Combining Point Tracking and Part Detection for Dynamic 3D Reconstruction of Vehicles
In this work, we develop a framework to fuse both the single-view feature tracks and multi-view detected part locations to significantly improve the detection, localization and reconstruction of moving vehicles, even in the presence of strong occlusions.
Muscle Excitation Estimation in Biomechanical Simulation Using NAF Reinforcement Learning
amir-abdi/artisynth_point2point
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In this article, we propose a deep reinforcement learning method to estimate the muscle excitations in simulated biomechanical systems.
SD-DefSLAM: Semi-Direct Monocular SLAM for Deformable and Intracorporeal Scenes
Conventional SLAM techniques strongly rely on scene rigidity to solve data association, ignoring dynamic parts of the scene.
Deep Learning based Virtual Point Tracking for Real-Time Target-less Dynamic Displacement Measurement in Railway Applications
quickhdsdc/Point-Tracking-for-Displacement-Measurement-in-Railway-Applications
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To tackle this issue, we propose virtual point tracking for real-time target-less dynamic displacement measurement, incorporating deep learning techniques and domain knowledge.
Point 4D Transformer Networks for Spatio-Temporal Modeling in Point Cloud Videos
hehefan/P4Transformer
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CVPR 2021
To capture the dynamics in point cloud videos, point tracking is usually employed.
PTTR: Relational 3D Point Cloud Object Tracking with Transformer
In a point cloud sequence, 3D object tracking aims to predict the location and orientation of an object in the current search point cloud given a template point cloud.
