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

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

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

Unsupervised Learning for Image Registration

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

FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

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

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

OpenMMLab optical flow toolbox and benchmark

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

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

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

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

Depth and Flow for Visual Odometry

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)

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

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, ResNet features.

TOFlow: Video Enhancement with Task-Oriented Flow

(ECCV 2020) RANSAC-Flow: generic two-stage image alignment