Motion Compensation
61 papers with code • 0 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in Motion Compensation
RGB-DAVIS Dataset
Most implemented papers
Learning Temporal Coherence via Self-Supervision for GAN-based Video Generation
thunil/TecoGAN
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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
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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
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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-
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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
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
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
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
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To alleviate this problem, we propose two novel approaches to deblur videos by effectively aggregating information from multiple video frames.
Aligning Bird-Eye View Representation of Point Cloud Sequences using Scene Flow
Such concatenation is possible thanks to the removal of ego vehicle motion using its odometry.
BoostTrack: boosting the similarity measure and detection confidence for improved multiple object tracking
To utilize low-detection score bounding boxes in one-stage association, we propose to boost the confidence scores of two groups of detections: the detections we assume to correspond to the existing tracked object, and the detections we assume to correspond to a previously undetected object.
