DynamicID: Zero-Shot Multi-ID Image Personalization with Flexible Facial Editability

• URL: http://arxiv.org/abs/2503.06505v1
• Date: Sun, 09 Mar 2025 08:16:19 GMT
• Title: DynamicID: Zero-Shot Multi-ID Image Personalization with Flexible Facial Editability
• Authors: Xirui Hu, Jiahao Wang, Hao Chen, Weizhan Zhang, Benqi Wang, Yikun Li, Haishun Nan,
• Abstract summary: DynamicID is a tuning-free framework supported by a dual-stage training paradigm.<n>We have developed a curated VariFace-10k facial dataset, comprising 10k unique individuals, each represented by 35 distinct facial images.
• Score: 12.692129257068085
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Recent advancements in text-to-image generation have spurred interest in personalized human image generation, which aims to create novel images featuring specific human identities as reference images indicate. Although existing methods achieve high-fidelity identity preservation, they often struggle with limited multi-ID usability and inadequate facial editability. We present DynamicID, a tuning-free framework supported by a dual-stage training paradigm that inherently facilitates both single-ID and multi-ID personalized generation with high fidelity and flexible facial editability. Our key innovations include: 1) Semantic-Activated Attention (SAA), which employs query-level activation gating to minimize disruption to the original model when injecting ID features and achieve multi-ID personalization without requiring multi-ID samples during training. 2) Identity-Motion Reconfigurator (IMR), which leverages contrastive learning to effectively disentangle and re-entangle facial motion and identity features, thereby enabling flexible facial editing. Additionally, we have developed a curated VariFace-10k facial dataset, comprising 10k unique individuals, each represented by 35 distinct facial images. Experimental results demonstrate that DynamicID outperforms state-of-the-art methods in identity fidelity, facial editability, and multi-ID personalization capability.

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