Motion Estimation
210 papers with code • 0 benchmarks • 10 datasets
Motion Estimation is used to determine the block-wise or pixel-wise motion vectors between two frames.
Benchmarks
These leaderboards are used to track progress in Motion Estimation
Libraries
Use these libraries to find Motion Estimation models and implementationsDatasets
DDD17
PST900
SegTHOR
EV-IMO
Fisheye
VBR
Headcam
Retinal Microsurgery
Latest papers
Staged Contact-Aware Global Human Motion Forecasting
l-scofano/stag
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So far, only Mao et al. NeurIPS'22 have addressed scene-aware global motion, cascading the prediction of future scene contact points and the global motion estimation.
Constrained CycleGAN for Effective Generation of Ultrasound Sector Images of Improved Spatial Resolution
In vitro phantom results demonstrate that CCycleGAN successfully generates images with improved spatial resolution as well as higher peak signal-to-noise ratio (PSNR) and structural similarity (SSIM) compared with benchmarks.
Multi-scale, Data-driven and Anatomically Constrained Deep Learning Image Registration for Adult and Fetal Echocardiography
We propose a framework that combines three strategies for DLIR in both fetal and adult echo: (1) an anatomic shape-encoded loss to preserve physiological myocardial and left ventricular anatomical topologies in warped images; (2) a data-driven loss that is trained adversarially to preserve good image texture features in warped images; and (3) a multi-scale training scheme of a data-driven and anatomically constrained algorithm to improve accuracy.
4D Myocardium Reconstruction with Decoupled Motion and Shape Model
yuan-xiaohan/4d-myocardium-reconstruction-with-decoupled-motion-and-shape-model
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ICCV 2023
Estimating the shape and motion state of the myocardium is essential in diagnosing cardiovascular diseases. However, cine magnetic resonance (CMR) imaging is dominated by 2D slices, whose large slice spacing challenges inter-slice shape reconstruction and motion acquisition. To address this problem, we propose a 4D reconstruction method that decouples motion and shape, which can predict the inter-/intra- shape and motion estimation from a given sparse point cloud sequence obtained from limited slices.
TAI-GAN: Temporally and Anatomically Informed GAN for early-to-late frame conversion in dynamic cardiac PET motion correction
gxq1998/tai-gan
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The rapid tracer kinetics of rubidium-82 ($^{82}$Rb) and high variation of cross-frame distribution in dynamic cardiac positron emission tomography (PET) raise significant challenges for inter-frame motion correction, particularly for the early frames where conventional intensity-based image registration techniques are not applicable.
PARIS: Part-level Reconstruction and Motion Analysis for Articulated Objects
Our approach improves reconstruction relative to state-of-the-art baselines with a Chamfer-L1 distance reduction of 3. 94 (45. 2%) for objects and 26. 79 (84. 5%) for parts, and achieves 5% error rate for motion estimation across 10 object categories.
Neural radiance fields in the industrial and robotics domain: applications, research opportunities and use cases
These experiments include NeRF-based video compression techniques and using NeRFs for 3D motion estimation in the context of collision avoidance.
Kick Back & Relax: Learning to Reconstruct the World by Watching SlowTV
jspenmar/slowtv_monodepth
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ICCV 2023
Unfortunately, existing approaches limit themselves to the automotive domain, resulting in models incapable of generalizing to complex environments such as natural or indoor settings.
Towards Anytime Optical Flow Estimation with Event Cameras
We then propose EVA-Flow, an EVent-based Anytime Flow estimation network to produce high-frame-rate event optical flow with only low-frame-rate optical flow ground truth for supervision.
Ultrafast Cardiac Imaging Using Deep Learning For Speckle-Tracking Echocardiography
The obtained results showed that, while using only three DWs as input, the CNN-based approach yielded an image quality and a motion accuracy equivalent to those obtained by compounding 31 DWs free of motion artifacts.
