论文标题
深度视频与颜色映射的一致性进行协调
Deep Video Harmonization with Color Mapping Consistency
论文作者
论文摘要
视频协调旨在调整复合视频的前景，以使其与背景兼容。到目前为止，视频协调仅受到有限的关注，并且没有公共数据集用于视频协调。在这项工作中，我们通过调整真实视频的前景以创建合成复合视频来构建一个新的视频协调数据集Hyoutube。此外，我们考虑视频协调任务中的时间一致性。与以前建立空间对应关系的作品不同，我们根据颜色映射一致性的假设设计了一个新型框架，该框架利用相邻框架的颜色映射来完善当前帧。我们的Houtube数据集进行了广泛的实验证明了我们提出的框架的有效性。我们的数据集和代码可在https://github.com/bcmi/video-harmonization-dataset-hyoutube上找到。
Video harmonization aims to adjust the foreground of a composite video to make it compatible with the background. So far, video harmonization has only received limited attention and there is no public dataset for video harmonization. In this work, we construct a new video harmonization dataset HYouTube by adjusting the foreground of real videos to create synthetic composite videos. Moreover, we consider the temporal consistency in video harmonization task. Unlike previous works which establish the spatial correspondence, we design a novel framework based on the assumption of color mapping consistency, which leverages the color mapping of neighboring frames to refine the current frame. Extensive experiments on our HYouTube dataset prove the effectiveness of our proposed framework. Our dataset and code are available at https://github.com/bcmi/Video-Harmonization-Dataset-HYouTube.
