# ID-Patch: Robust ID Association for Group Photo Personalization

Source: [ID-Patch: Robust ID Association for Group Photo Personalization](<https://www.sota2.com/research/paper/68fa77b91e209131cea74f99>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2025-12-25T06:13:46.993Z

Authors: Yimeng Zhang, Tiancheng Zhi, Jing Liu, Shen Sang, Liming Jiang, Qing Yan, Sijia Liu, Linjie Luo

Published: 2024-11-20T18:55:28.000Z

## Abstract

The ability to synthesize personalized group photos and specify the positions of each identity offers immense creative potential. While such imagery can be visually appealing, it presents significant challenges for existing technologies. A persistent issue is identity (ID) leakage, where injected facial features interfere with one another, resulting in low face resemblance, incorrect positioning, and visual artifacts. Existing methods suffer from limitations such as the reliance on segmentation models, increased runtime, or a high probability of ID leakage. To address these challenges, we propose ID-Patch, a novel method that provides robust association between identities and 2D positions. Our approach generates an ID patch and ID embeddings from the same facial features: the ID patch is positioned on the conditional image for precise spatial control, while the ID embeddings integrate with text embeddings to ensure high resemblance. Experimental results demonstrate that ID-Patch surpasses baseline methods across metrics, such as face ID resemblance, ID-position association accuracy, and generation efficiency. Project Page is: https://byteaigc.github.io/ID-Patch/

## Recorded benchmark results

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

- [Identity-Preserving Image Generation on MultiID-Bench 3-and-4-people](<https://www.sota2.com/research/sota/identity-preserving-image-generation-on-multiid-bench-3-and-4-people.md>): Identity-preserving Image Generation; MultiID-Bench 3-and-4-people; Sim(GT): 0.379.

- [Identity-Preserving Image Generation on MultiID-Bench 2-people](<https://www.sota2.com/research/sota/identity-preserving-image-generation-on-multiid-bench-2-people.md>): Identity-preserving Image Generation; MultiID-Bench 2-people; Sim(GT): 0.35.

- [Identity-Preserving Image Generation on MultiID-Bench 1-people](<https://www.sota2.com/research/sota/identity-preserving-image-generation-on-multiid-bench-1-people.md>): Identity-preserving Image Generation; MultiID-Bench 1-people; Sim(GT): 0.426.

## Original sources and implementation

[Original paper](<https://arxiv.org/abs/2411.13632>)

[PDF](<https://arxiv.org/pdf/2411.13632.pdf>)