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nbei/Deep-Flow-Guided-Video-Inpainting

A CVPR 2019 PyTorch implementation for video inpainting using optical flow to guide generative filling of masked objects in videos.

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Deep-Flow-Guided-Video-Inpainting
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This repository provides an implementation of deep flow-guided video inpainting, combining optical flow estimation (FlowNet2), deep learning-based image inpainting (Deepfillv1), and propagation techniques to remove objects from videos. The system takes video frames and masks as input and generates inpainted video output by flowing content from surrounding frames into masked regions.

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