Video Harmonization
4 papers with code • 0 benchmarks • 1 datasets
Video harmonization aims to adjust the foreground of a composite video to make it compatible with the background.
Benchmarks
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Libraries
Use these libraries to find Video Harmonization models and implementations
HYouTube
Most implemented papers
Temporally Coherent Video Harmonization Using Adversarial Networks
bcmi/video-harmonization-dataset-hyoutube
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Since existing video datasets which have ground-truth foreground masks and optical flows are not sufficiently large, we propose a simple yet efficient method to build up a synthetic dataset supporting supervised training of the proposed adversarial network.
HYouTube: Video Harmonization Dataset
bcmi/video-harmonization-dataset-hyoutube
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In this work, we construct a new video harmonization dataset HYouTube by adjusting the foreground of real videos to create synthetic composite videos.
Deep Video Harmonization with Color Mapping Consistency
bcmi/video-harmonization-dataset-hyoutube
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Video harmonization aims to adjust the foreground of a composite video to make it compatible with the background.
Harmonizer: Learning to Perform White-Box Image and Video Harmonization
Unlike prior methods that are based on black-box autoencoders, Harmonizer contains a neural network for filter argument prediction and several white-box filters (based on the predicted arguments) for image harmonization.
