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RefineFIR TrainingData
This repository contains training artifacts for the RefineFIR reimplementation:
celebref_list_256_jw_0403.pkl: same-identity(source_id, target_id)training pairs.celebaref_warped_snapCV_jw_0403.zip: precomputed Snap/XCV warped reference images for the above pairs.
The clean image root used by train.py is expected to be arranged as CelebHQRefForRelease/<identity>/<image>.png, where pair ids such as 00001_2 resolve to CelebHQRefForRelease/00001/2.png.
The historical training pipeline generated these warped references with Snap/XCV. The public inference code uses MediaPipe, but training can consume the precomputed warped images directly without releasing Snap/XCV code.
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