Showing 1-8 of 8 projects
A model for tracking any point (pixel) on a video using optical-flow and point-tracking techniques.
A Python library for high-quality frame interpolation of large motion videos using neural networks.
Collection of resources for object tracking and detection using deep learning.
A PyTorch implementation of the PWC-Net, a CNN-based optical flow estimation model for computer vision tasks.
A unified deep learning model for correspondence, stereo, and depth estimation tasks.
Official code for a CVPR2022 paper on end-to-end video inpainting using optical flow.
Open-source optical flow toolbox and benchmark for computer vision tasks powered by PyTorch.
An open-source library for estimating optical flow, a fundamental computer vision task, using deep neural networks.
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