arXiv cs.AI
· Papers
Disco-LoRA: Disentangled Composition of Content, Style, and Motion for Multi-concept Video Customization
arXiv:2606.26668v1 Announce Type: cross Abstract: Video customization based on Text-to-Video (T2V) models aims to learn specific features from reference data to generate controllable videos. While significant strides have been made in image stylization and video motion customization, simultaneously controlling multiple