Motion Compensation

44 papers with code • 0 benchmarks • 1 datasets

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Most implemented papers

Learning Temporal Coherence via Self-Supervision for GAN-based Video Generation

thunil/TecoGAN 23 Nov 2018

Additionally, we propose a first set of metrics to quantitatively evaluate the accuracy as well as the perceptual quality of the temporal evolution.

Tracking without bells and whistles

phil-bergmann/tracking_wo_bnw ICCV 2019

Therefore, we motivate our approach as a new tracking paradigm and point out promising future research directions.

FastDVDnet: Towards Real-Time Deep Video Denoising Without Flow Estimation

m-tassano/fastdvdnet CVPR 2020

In this paper, we propose a state-of-the-art video denoising algorithm based on a convolutional neural network architecture.

Learning for Video Super-Resolution through HR Optical Flow Estimation

LongguangWang/SOF-VSR-Super-Resolving-Optical-Flow-for-Video-Super-Resolution- 23 Sep 2018

Extensive experiments demonstrate that HR optical flows provide more accurate correspondences than their LR counterparts and improve both accuracy and consistency performance.

Deep Predictive Motion Tracking in Magnetic Resonance Imaging: Application to Fetal Imaging

bchimagine/DeepPredictiveMotionTracking 25 Sep 2019

Nevertheless, visual monitoring of fetal motion based on displayed slices, and navigation at the level of stacks-of-slices is inefficient.

Deep Video Super-Resolution using HR Optical Flow Estimation

LongguangWang/SOF-VSR 6 Jan 2020

The key challenge for video SR lies in the effective exploitation of temporal dependency between consecutive frames.

Moving Objects Detection with a Moving Camera: A Comprehensive Review

matheuscnali/monocular_vo 15 Jan 2020

During about 30 years, a lot of research teams have worked on the big challenge of detection of moving objects in various challenging environments.

Recurrent Video Deblurring with Blur-Invariant Motion Estimation and Pixel Volumes

codeslake/PVDNet 23 Aug 2021

To alleviate this problem, we propose two novel approaches to deblur videos by effectively aggregating information from multiple video frames.

PVR: Patch-to-Volume Reconstruction for Large Area Motion Correction of Fetal MRI

bkainz/fetalReconstruction 22 Nov 2016

In this paper we present a novel method for the correction of motion artifacts that are present in fetal Magnetic Resonance Imaging (MRI) scans of the whole uterus.

Predicting Slice-to-Volume Transformation in Presence of Arbitrary Subject Motion

farrell236/SVRnet 28 Feb 2017

Our approach is attractive in challenging imaging scenarios, where significant subject motion complicates reconstruction performance of 3D volumes from 2D slice data.