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
These leaderboards are used to track progress in Video Harmonization
Libraries
Use these libraries to find Video Harmonization models and implementationsMost implemented papers
Temporally Coherent Video Harmonization Using Adversarial Networks
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
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
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.