StructuReiser: A Structure-preserving Video Stylization Method

Fuente: arXiv
Guardado en:
Detalles Bibliográficos
Autores principales: Spetlik, Radim, Futschik, David, Sykora, Daniel
Formato: Preprint
Publicado: 2024
Materias:
Acceso en línea:
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
_version_ 1866912061823385600
author Spetlik, Radim
Futschik, David
Sykora, Daniel
author_facet Spetlik, Radim
Futschik, David
Sykora, Daniel
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2409_15341
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle StructuReiser: A Structure-preserving Video Stylization Method
Spetlik, Radim
Futschik, David
Sykora, Daniel
Computer Vision and Pattern Recognition
Graphics
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.
title StructuReiser: A Structure-preserving Video Stylization Method
topic Computer Vision and Pattern Recognition
Graphics
url https://arxiv.org/abs/2409.15341