FILM: Frame Interpolation for Large Motion, In ECCV 2022.
-
Updated
Aug 10, 2024 - Python
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)
[TPAMI'23] Unifying Flow, Stereo and Depth Estimation
Official code for "Towards An End-to-End Framework for Flow-Guided Video Inpainting" (CVPR2022)
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
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
[CVPR'22 Oral] GMFlow: Learning Optical Flow via Global Matching
LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation, CVPR 2018 (Spotlight paper, 6.6%)
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, and TIMM models.
Python framework for short-term ensemble prediction systems.
The pytorch implementation of our CVPR 2023 paper "Conditional Image-to-Video Generation with Latent Flow Diffusion Models"
Add a description, image, and links to the optical-flow topic page so that developers can more easily learn about it.
To associate your repository with the optical-flow topic, visit your repo's landing page and select "manage topics."