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Optical Flow Estimation
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Optical Flow Estimation is a computer vision task that involves computing the motion of objects in an image or a video sequence. The goal of optical flow estimation is to determine the movement of pixels or features in the image, which can be used for various applications such as object tracking, motion analysis, and video compression.
Approaches for optical flow estimation include correlation-based, block-matching, feature tracking, energy-based, and more recently gradient-based.
Further readings:
Definition source: Devon: Deformable Volume Network for Learning Optical Flow
Image credit: Optical Flow Estimation
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/woodfrog/ActionRecognition
Two-Stream Convolutional Networks for Action Recognition in Videos
https://github.com/wooramkang/FITVNet
First image then video: A two-stage network for spatiotemporal video denoising
https://github.com/wqliu657/TransNetV2
https://github.com/wudao001/LSMVOS
LSMVOS: Long-Short-Term Similarity Matching for Video Object
https://github.com/xiaolonw/TimeCycle
https://github.com/xilin1991/ClusterNet
Online Unsupervised Video Object Segmentation via Contrastive Motion Clustering
https://github.com/xinjie-q/distributed-dvc
RIFE: Real-Time Intermediate Flow Estimation for Video Frame Interpolation
https://github.com/xrenaa/Human-Motion-Analysis-with-Deep-Metric-Learning
https://github.com/yangyucheng000/MSpaper/tree/main/ViG
https://github.com/yangyucheng000/papercode-2/tree/main/SDCF-mindspore-main
SDCNet: Video Prediction Using Spatially-Displaced Convolution
https://github.com/yanqi1811/PWC-Net
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume
https://github.com/yijie0710/GeoNet_pytorch
GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose
https://github.com/ykasten/layered-neural-atlases
https://github.com/yrcong/flatten
FLATTEN: optical FLow-guided ATTENtion for consistent text-to-video editing
https://github.com/yukitsuji/chainer_function
https://github.com/zhihaohu/pytorchvideocompression
https://github.com/zyong812/pwc-net_Pytorch
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume
https://github.com/zzy-zhou/renet
Event-Free Moving Object Segmentation from Moving Ego Vehicle
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