用用户提供的关键帧实现结构保留的视频风格迁移。
StructuReiser: A Structure-preserving Video Stylization Method
- 基于用户指定的关键帧进行风格化，保持原视频结构不变。
- 支持实时推理与关键帧编辑，提升交互性与可控性。
- 适合需要精准控制风格迁移的创意视频创作场景。
我们提出 StructuReiser，一种新颖的视频到视频转换方法，通过一组用户提供的关键帧将输入视频转化为风格化序列。与现有方法不同，StructuReiser严格保持目标视频的结构元素，既保留原始身份，又无缝应用所需风格变换。该方法实现了传统文本驱动或关键帧驱动方法无法达到的控制力与一致性。此外，StructuReiser支持实时推理和自定义关键帧编辑，适用于交互式应用，拓展了创意表达与视频处理的可能性。
原文摘要 · Abstract (English)
We introduce StructuReiser, a novel video-to-video translation method that transforms input videos into stylized sequences using a set of user-provided keyframes. Unlike existing approaches, StructuReiser maintains strict adherence to the structural elements of the target video, preserving the original identity while seamlessly applying the desired stylistic transformations. This enables a level of control and consistency that was previously unattainable with traditional text-driven or keyframe-based methods. Furthermore, StructuReiser supports real-time inference and custom keyframe editing, making it ideal for interactive applications and expanding the possibilities for creative expression and video manipulation.
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