PCLNetUnsupervised Learning for Optical Flow Estimation Using Pyramid Convolution LSTM.
BridgeDepthFlowBridging Stereo Matching and Optical Flow via Spatiotemporal Correspondence, CVPR 2019
deepOFTensorFlow implementation for "Guided Optical Flow Learning"
PyTrxPyTrx is a Python object-oriented programme created for the purpose of calculating real-world measurements from oblique images and time-lapse image series. Its primary purpose is to obtain velocities, surface areas, and distances from oblique, optical imagery of glacial environments.
CorrelationLayerPure Pytorch implementation of Correlation Layer that commonly used in learning based optical flow estimator
video featuresExtract video features from raw videos using multiple GPUs. We support RAFT and PWC flow frames as well as S3D, I3D, R(2+1)D, VGGish, CLIP, ResNet features.
EPCEvery Pixel Counts ++: Joint Learning of Geometry and Motion with 3D Holistic Understanding
flow1d[ICCV 2021 Oral] High-Resolution Optical Flow from 1D Attention and Correlation
GuidedNetCaffe implementation for "Guided Optical Flow Learning"
humanflow2Official repository of Learning Multi-Human Optical Flow (IJCV 2019)
CrowdFlowOptical Flow Dataset and Benchmark for Visual Crowd Analysis
mmflowOpenMMLab optical flow toolbox and benchmark