StyleYourSmile: Diffusion-Driven One Shot Cross-Domain Retargeting for Portraits
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Date
2026
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
Cross-domain portrait retargeting requires disentangled control over identity, expressions, and domain-specific stylistic attributes. Existing methods, typically trained on subjects in a single domain, either fail to generalize across image styles, need test-time optimizations, or require fine-tuning with curated multi-style data to achieve domain-invariant identity representations. In this work, we introduce StyleYourSmile, a novel one-shot cross-domain face retargeting method that eliminates these bottlenecks. We propose a dual-encoder architecture alongside an efficient data augmentation strategy for representing domain-invariant identity cues and capturing domain-specific stylistic variations. Leveraging these disentangled control signals, we condition a diffusion model to retarget facial expressions across domains. Extensive experiments demonstrate that StyleYourSmile achieves superior identity preservation and retargeting fidelity across a wide range of visual styles.
Description
@inproceedings{10.2312:egs.20261004,
booktitle = {Eurographics 2026 - Short Papers},
editor = {Musialski, Przemyslaw and Lim, Isaak},
title = {{StyleYourSmile: Diffusion-Driven One Shot Cross-Domain Retargeting for Portraits}},
author = {Dey, Avirup and Namboodiri, Vinay},
year = {2026},
publisher = {The Eurographics Association},
ISSN = {2309-5059},
ISBN = {978-3-03868-299-8},
DOI = {10.2312/egs.20261004}
}