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InstantFamily: Masked Attention for Zero-shot Multi-ID Image Generation
May 1, 2024, 4:45 a.m. | Chanran Kim, Jeongin Lee, Shichang Joung, Bongmo Kim, Yeul-Min Baek
cs.CV updates on arXiv.org arxiv.org
Abstract: In the field of personalized image generation, the ability to create images preserving concepts has significantly improved. Creating an image that naturally integrates multiple concepts in a cohesive and visually appealing composition can indeed be challenging. This paper introduces "InstantFamily," an approach that employs a novel masked cross-attention mechanism and a multimodal embedding stack to achieve zero-shot multi-ID image generation. Our method effectively preserves ID as it utilizes global and local features from a pre-trained …
abstract arxiv attention concepts create cs.cv image image generation images indeed multiple novel paper personalized type zero-shot
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