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Motion Compensation

18 papers with code · Computer Vision
Subtask of Video

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

ICLR 2020 thunil/TecoGAN

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

IMAGE SUPER-RESOLUTION MOTION COMPENSATION VIDEO GENERATION VIDEO SUPER-RESOLUTION

Tracking without bells and whistles

ICCV 2019 phil-bergmann/tracking_wo_bnw

We then perform an analysis on the performance and failure cases of several state-of-the-art tracking methods in comparison to our Tracktor.

MOTION COMPENSATION MOTION PREDICTION MULTI-OBJECT TRACKING

Detail-revealing Deep Video Super-resolution

ICCV 2017 jiangsutx/SPMC_VideoSR

In this paper, we show that proper frame alignment and motion compensation is crucial for achieving high quality results.

IMAGE SUPER-RESOLUTION MOTION COMPENSATION VIDEO SUPER-RESOLUTION

Deep Video Super-Resolution Network Using Dynamic Upsampling Filters Without Explicit Motion Compensation

CVPR 2018 yhjo09/VSR-DUF

We propose a novel end-to-end deep neural network that generates dynamic upsampling filters and a residual image, which are computed depending on the local spatio-temporal neighborhood of each pixel to avoid explicit motion compensation.

DATA AUGMENTATION MOTION COMPENSATION MOTION ESTIMATION VIDEO SUPER-RESOLUTION

Frame-Recurrent Video Super-Resolution

CVPR 2018 msmsajjadi/frvsr

Recent advances in video super-resolution have shown that convolutional neural networks combined with motion compensation are able to merge information from multiple low-resolution (LR) frames to generate high-quality images.

MOTION COMPENSATION MULTI-FRAME SUPER-RESOLUTION VIDEO SUPER-RESOLUTION

Learning for Video Super-Resolution through HR Optical Flow Estimation

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

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

MOTION COMPENSATION OPTICAL FLOW ESTIMATION VIDEO SUPER-RESOLUTION

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

1 Jul 2019m-tassano/fastdvdnet

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

DENOISING MOTION COMPENSATION MOTION ESTIMATION VIDEO DENOISING

Progressive Fusion Video Super-Resolution Network via Exploiting Non-Local Spatio-Temporal Correlations

ICCV 2019 psychopa4/PFNL

Most previous fusion strategies either fail to fully utilize temporal information or cost too much time, and how to effectively fuse temporal information from consecutive frames plays an important role in video super-resolution (SR).

MOTION COMPENSATION MOTION ESTIMATION VIDEO SUPER-RESOLUTION