[ICCV 2025 Highlight] LVFace: Progressive Cluster Optimization for Large Vision Models in Face Recognition If you like LVFace, please give us a star ⭐ on GitHub for the latest update. This is the official PyTorch implementation for the inference of LVFace. Drawing inspiration from the massive data support, multi stage training paradigm, and Transformer architecture of large model technology, this method, based on Large Vision Transformer, has carried out progressive optimization of the face clustering space through multiple stages on massive datasets. News 🔥🔥🔥 We have released the training weights of LVFace. Please click here to download it. (August, 2025 UTC) 🎉🎉🎉 LVFace has been recommended as ICCV Highlight . (July, 2025 UTC) 🎉🎉🎉 LVFace is accepted by ICCV 2025 . (July, 2025 UTC) 🔥🔥🔥 We have updated the arXiv report of LVFace. Please click here to view it. (March, 2025 UTC) 🎉🎉🎉 LVFace secured 1st place in the ICCV 2021 Masked Face Recognition (MFR) Ongoing Challenge (academic track). (December, 2024 UTC) Requirements All required dependencies are listed in requirements.txt : Install all dependencies with a single command: pip install r requirements.txt Datasets Tes…
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