foivospar/Arc2Face
[ECCV 2024 Oral 🔥] Arc2Face: A Foundation Model for ID-Consistent Human Faces ------------------------ [ICCVW 2025] ID-Consistent, Precise Expression Generation with Blendshape-Guided Diffusion
Conditions face generation on ArcFace embeddings extracted from input images, enabling tuning-free personalization without per-subject fine-tuning. Built on Stable Diffusion 1.5 with a custom CLIP text encoder and UNet adapter, trained on WebFace42M for superior ID preservation; supports acceleration via LCM-LoRA, ControlNet integration for pose control, and a new Expression Adapter component that uses blendshape guidance for fine-grained facial expression control.
789 stars.
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Language
Python
License
MIT
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Last pushed
Oct 10, 2025
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