Omni-ID is a fixed-size, multi-view face representation trained with few-to-many reconstruction that reports higher identity preservation than ArcFace and CLIP in face generation and personalized text-to-image tasks.
Im- age2stylegan: How to embed images into the stylegan latent space? In Proceedings of the IEEE/CVF International Con- ference on Computer Vision, pages 4432–4441, 2019
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Omni-ID: Holistic Identity Representation Designed for Generative Tasks
Omni-ID is a fixed-size, multi-view face representation trained with few-to-many reconstruction that reports higher identity preservation than ArcFace and CLIP in face generation and personalized text-to-image tasks.