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CVPR2024顶会

FreeCustom: Tuning-Free Customized Image Generation for Multi-Concept Composition

Ganggui Ding, Canyu Zhao, Wen Wang, Zhen Yang, Zide Liu, Hao Chen, Chunhua Shen

2024年份
24顶会引用

摘要

are better preserved when providing images with context interactions. Experiments show that our method's produced images are consistent with the given concepts and better aligned with the input text. Our method outperforms or performs on par with other training-based methods in terms of multi-concept composition and single-concept customization, but is simpler. Codes can be found here.

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