2024/09/09 by Radim Špetlík, Spetlik, Radim, David Futschik +3 · 1 citation
Computer Science · Arts and Humanities · #Video Analysis and Summarization #Natural Language Processing Techniques #Translation Studies and Practices
paper · pdf · doi:10.48550/arxiv.2409.15341
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.