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arXiv · 2411.04357

MegaPortrait: Revisiting Diffusion Control for High-fidelity Portrait Generation

Han Yang·Sotiris Anagnostidis·Enis Simsar·Thomas Hofmann
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Abstract

We propose MegaPortrait. It's an innovative system for creating personalized portrait images in computer vision. It has three modules: Identity Net, Shading Net, and Harmonization Net. Identity Net generates learned identity using a customized model fine-tuned with source images. Shading Net re-renders portraits using extracted representations. Harmonization Net fuses pasted faces and the reference image's body for coherent results. Our approach with off-the-shelf Controlnets is better than state-of-the-art AI portrait products in identity preservation and image fidelity. MegaPortrait has a simple but effective design and we compare it with other methods and products to show its superiority.

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Han Yang, Sotiris Anagnostidis, Enis Simsar, Thomas Hofmann. 2024-11-07. MegaPortrait: Revisiting Diffusion Control for High-fidelity Portrait Generation. https://arxiv.org/abs/2411.04357

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