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Automated workflows designed to process, normalize, and manipulate facial or visual data for machine learning tasks.
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Faceswap is a comprehensive framework for automated media manipulation and neural face synthesis. It provides a modular pipeline that manages the entire lifecycle of facial feature extraction, deep learning model training, and image conversion. By coordinating complex computer vision workflows, the system enables users
Reconstructs facial imagery from source frames by reapplying alignment metadata and refined transformation parameters.