CVPR2025
LoRACLR: Contrastive Adaptation for Customization of Diffusion Models
Enis Simsar, Thomas Hofmann, Federico Tombari, Pinar Yanardag
摘要
<PITT> & <MARGOT>, inside a futuristic spaceship, sci-fi realism… <MESSI> & <TAYLOR> & <LEBRON> , on a seashore, wearing denim jackets, in <COMIC> style… CONCEPTS Figure 1. High-Fidelity Multi-Concept Image Generation. Examples illustrating LoRACLR's ability to generate unified scenes with multiple distinct characters and styles across diverse settings. Each scene demonstrates LoRACLR's capability to combine varied concepts seamlessly, preserving the original identities of each character, as seen in concepts.