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

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

Unsupervised Learning for Image Registration

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

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)

OpenMMLab optical flow toolbox and benchmark

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

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%)

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)

Depth and Flow for Visual Odometry

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

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

TOFlow: Video Enhancement with Task-Oriented Flow

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

FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks