Contrastive Inversion disentangles the common concept from per-image auxiliary tokens via InfoNCE loss, then fine-tunes only the target cross-attention pathway, matching DisenBooth's numbers while claiming better qualitative editability.
Multi-concept customization of text- to-image diffusion
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Comparison Reveals Commonality: Customized Image Generation through Contrastive Inversion
Contrastive Inversion disentangles the common concept from per-image auxiliary tokens via InfoNCE loss, then fine-tunes only the target cross-attention pathway, matching DisenBooth's numbers while claiming better qualitative editability.