FlashFace: Human Image Personalization with High-fidelity Identity Preservation
Core Concepts
FlashFace is a practical tool for human image personalization, emphasizing high-fidelity identity preservation and precise language control.
Abstract
FlashFace allows users to personalize photos by providing reference face images and text prompts.
The method preserves facial details using feature maps and disentangled integration.
Experimental results demonstrate effectiveness in various applications.
Dataset collection involves data cleaning, annotation, and diverse image sampling.
Benchmark results show superior performance in identity preservation compared to previous methods.
FlashFace
Stats
1The University of Hong Kong, 2Alibaba Group, 3Ant Group
Extensive experimental results demonstrate the effectiveness of FlashFace on various applications.
Dataset statistics: 1.8 million images featuring 23,042 individuals.
Quotes
"Our approach is distinguishable from existing human photo customization methods by higher-fidelity identity preservation."
"Extensive experimental results demonstrate the effectiveness of our method on various applications."