MOSAIC improves multi-subject personalized image generation by supervising attention maps with semantic point correspondences and a disentanglement loss, and introduces the SemAlign-MS dataset for training.
Distinctive image features from scale-invariant keypoints.IJCV, 60:91–110, 2004
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MOSAIC: Multi-Subject Personalized Generation via Correspondence-Aware Alignment and Disentanglement
MOSAIC improves multi-subject personalized image generation by supervising attention maps with semantic point correspondences and a disentanglement loss, and introduces the SemAlign-MS dataset for training.