Video motion stylization by 2D rigidification

J. Delanoy, A. Bousseau, Aaron Hertzmann
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引用次数: 3

Abstract

This paper introduces a video stylization method that increases the apparent rigidity of motion. Existing stylization methods often retain the 3D motion of the original video, making the result look like a 3D scene covered in paint rather than a 2D painting of a scene. In contrast, traditional hand-drawn animations often exhibit simplified in-plane motion, such as in the case of cut-out animations where the animator moves pieces of paper from frame to frame. Inspired by this technique, we propose to modify a video such that its content undergoes 2D rigid transforms. To achieve this goal, our approach applies motion segmentation and optimization to best approximate the input optical flow with piecewise-rigid transforms, and re-renders the video such that its content follows the simplified motion. The output of our method is a new video and its optical flow, which can be fed to any existing video stylization algorithm.
视频运动风格化的二维刚性
介绍了一种提高运动表观刚度的视频程式化方法。现有的风格化方法通常保留了原始视频的3D运动,使结果看起来像一个覆盖着油漆的3D场景,而不是一个场景的2D绘画。相比之下,传统的手绘动画通常表现出简化的平面内运动,例如在剪切动画的情况下,动画师将纸张从一帧移动到另一帧。受此技术的启发,我们建议修改视频,使其内容经历二维刚性变换。为了实现这一目标,我们的方法应用运动分割和优化,通过分段刚性变换来最好地近似输入光流,并重新渲染视频,使其内容遵循简化的运动。我们的方法的输出是一个新的视频及其光流,它可以馈送到任何现有的视频风格化算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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