https://github.com/htkseason/VOLDOR
공식 코드VOLDOR: Visual Odometry from Log-logistic Dense Optical flow Residuals
Papers with Code 아카이브
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/huairui/lstvc
공식 코드Exploring Long- and Short-Range Temporal Information for Learned Video Compression
https://github.com/huicongzhang/bsstnet
공식 코드Blur-aware Spatio-temporal Sparse Transformer for Video Deblurring
https://github.com/hustvl/LSFA
공식 코드Real-Time and Accurate Object Detection in Compressed Video by Long Short-term Feature Aggregation
https://github.com/huynhlvd/corpca-of
공식 코드https://github.com/hylz-2019/v2v
공식 코드V2V: Scaling Event-Based Vision through Efficient Video-to-Voxel Simulation
https://github.com/hzwer/Arxiv2020-RIFE
공식 코드RIFE: Real-Time Intermediate Flow Estimation for Video Frame Interpolation
https://github.com/hzxie/RMNet
공식 코드Efficient Regional Memory Network for Video Object Segmentation
https://github.com/iamlab-ryerson/flowreg
공식 코드FlowReg: Fast Deformable Unsupervised Medical Image Registration using Optical Flow
https://github.com/idiap/flowestimation
공식 코드Estimating Nonplanar Flow from 2D Motion-blurred Widefield Microscopy Images via Deep Learning
https://github.com/inception3d/easi3r
공식 코드Easi3R: Estimating Disentangled Motion from DUSt3R Without Training
https://github.com/irmvlab/3dunmonoflow
공식 코드Unsupervised Learning of 3D Scene Flow from Monocular Camera
https://github.com/ispc-lab/tma
공식 코드TMA: Temporal Motion Aggregation for Event-based Optical Flow
https://github.com/ivineetm007/Fall-detection
공식 코드Motion and Region Aware Adversarial Learning for Fall Detection with Thermal Imaging
https://github.com/ivs3d/ivs3d
공식 코드https://github.com/ivyha010/emotionprediction
공식 코드Multimodal Deep Models for Predicting Affective Responses Evoked by Movies
https://github.com/iwbn/flow-supervisor
공식 코드https://github.com/j-cuadrado/of_ev_snn
공식 코드Optical flow estimation from event-based cameras and spiking neural networks
https://github.com/jLooo/VADMamba
공식 코드VADMamba: Exploring State Space Models for Fast Video Anomaly Detection
https://github.com/jbartlett6/accelerated-first-order-method-for-variational-imaging
공식 코드https://github.com/jcwang123/dmnet
공식 코드Efficient Global-Local Memory for Real-time Instrument Segmentation of Robotic Surgical Video
https://github.com/jeringeo/CompressiveFlows
공식 코드https://github.com/jfzhuang/DAVSS
공식 코드Video Semantic Segmentation with Distortion-Aware Feature Correction
https://github.com/jfzhuang/st_memory
공식 코드Video Semantic Segmentation with Inter-Frame Feature Fusion and Inner-Frame Feature Refinement
https://github.com/jhlew/momo
공식 코드https://github.com/jhw2000/jarnet
공식 코드https://github.com/jianfenglihg/UnOpticalFlow
공식 코드Occlusion Aware Unsupervised Learning of Optical Flow From Video
https://github.com/jianfenglihg/Unsupervised_geometry
공식 코드Unsupervised Joint Learning of Depth, Optical Flow, Ego-motion from Video
https://github.com/jiaozizhao/Two-in-One-ActionDetection
공식 코드https://github.com/jiayouqin/h-splitter
공식 코드Motor Focus: Fast Ego-Motion Prediction for Assistive Visual Navigation
https://github.com/jimmy9704/gps-glass
공식 코드GPS-GLASS: Learning Nighttime Semantic Segmentation Using Daytime Video and GPS data
https://github.com/jimmycv07/DiffIR2VR-Zero
공식 코드DiffIR2VR-Zero: Zero-Shot Video Restoration with Diffusion-based Image Restoration Models
https://github.com/jimmyzou/eventhpe
공식 코드https://github.com/jiy173/selfievideostabilization
공식 코드https://github.com/jmalves5/read-my-ears
공식 코드Read My Ears! Horse Ear Movement Detection for Equine Affective State Assessment
https://github.com/juliantrue/movex
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.