CoTracker is a model for tracking any point (pixel) on a video.

FILM: Frame Interpolation for Large Motion, In ECCV 2022.

Unsupervised Learning for Image Registration

Collection of papers, datasets, code and other resources for object tracking and detection using deep learning

PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume, CVPR 2018 (Oral)

[TPAMI'23] Unifying Flow, Stereo and Depth Estimation

Official code for "Towards An End-to-End Framework for Flow-Guided Video Inpainting" (CVPR2022)

OpenMMLab optical flow toolbox and benchmark

FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

[CVPR'22 Oral] GMFlow: Learning Optical Flow via Global Matching

Video++, a C++14 high performance video and image processing library.

Fast, accurate and easy to run dense optical flow with python wrapper

Extract video features from raw videos using multiple GPUs. We support RAFT flow frames as well as S3D, I3D, R(2+1)D, VGGish, CLIP, and TIMM models.

LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation, CVPR 2018 (Spotlight paper, 6.6%)

This is a list of awesome paper about optical flow and related work.

Depth and Flow for Visual Odometry

Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation

A project that uses optical flow and machine learning to detect aimhacking in video clips.

Optical Flow Prediction with TensorFlow. Implements "PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume," by Deqing Sun et al. (CVPR 2018)

Python framework for short-term ensemble prediction systems.