3 papers
cs.CV2024
TVG: A Training-free Transition Video Generation Method with Diffusion Models
Rui Zhang, Yaosen Chen, Yuegen Liu +3
Transition videos play a crucial role in media production, enhancing the flow and coherence of visual narratives. Traditional methods like morphing often lack artistic appeal and r…
cs.CV2024
MVOC: a training-free multiple video object composition method with diffusion models
Wei Wang, Yaosen Chen, Yuegen Liu +3
Video composition is the core task of video editing. Although image composition based on diffusion models has been highly successful, it is not straightforward to extend the achiev…
cs.CV2023
NLUT: Neural-based 3D Lookup Tables for Video Photorealistic Style Transfer
Yaosen Chen, Han Yang, Yuexin Yang +4
Video photorealistic style transfer is desired to generate videos with a similar photorealistic style to the style image while maintaining temporal consistency. However, existing m…