深度图像涂抹与稀有的用户互动
IEEE transactions on pattern analysis and machine intelligence
|October 23, 2023
概括
本研究介绍了一种无trimap的深度图像法,使用稀疏的用户交互来获得更好的alpha mattes. 它平衡了质量和用户友好性,优于其他没有trimap的方法.
科学领域:
- 计算机视觉和图形学
- 图像处理 图像处理
背景情况:
- 图像抹布是至关重要的,但具有挑战性,通常需要用户提供的trimaps,这是很难创建的.
- 由于缺乏足够的语义信息,现有的无trimap方法缺乏基于trimap的方法的质量.
研究的目的:
- 开发一个交互式的,没有trimap的图像布框架,以平衡布质量与用户交互成本.
- 通过不确定性估计和指导改进来提高的准确性.
主要方法:
- 一个新的深度图像嵌框架,使用稀疏的用户点击或涂作为辅助输入.
- 整合不确定性估计,以确定需要改进的领域.
- 开发以不确定性为指导的精炼策略,用于运行时质量权衡的可调节模式.
- 通过光流和时间一致性规范化扩展到视频人体.
主要成果:
- 与现有的无trimap技术相比,拟议的方法实现了更高的性能.
- 它显示了与基于最先进的trimap方法可比的结果,用户的精力大大减少.
- 该框架已成功扩展到视频应用程序,而无需进行架构更改.
结论:
- 开发的框架为高质量,用户友好的图像片提供了有效的解决方案.
- 它成功地解决了互动成本和性能之间的权衡问题.
- 这种方法对现实世界的应用有希望,包括视频片.
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