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MM-Diff: High-Fidelity Image Personalization via Multi-Modal Condition Integration
CLS embeddings are used on the one hand to augment the text embeddings, and on the other hand together with patch embeddings to derive a small number of detail-rich subject embeddings, both of which are efficiently integrated into the diffusion model through the well-designed multimodal cross-attention mechanism.
UVOSAM: A Mask-free Paradigm for Unsupervised Video Object Segmentation via Segment Anything Model
Unsupervised video object segmentation has made significant progress in recent years, but the manual annotation of video mask datasets is expensive and limits the diversity of available datasets.
Linguistic Query-Guided Mask Generation for Referring Image Segmentation
Referring image segmentation aims to segment the image region of interest according to the given language expression, which is a typical multi-modal task.
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