Introducing CodeFormer : Advanced Face Restoration and Enhancement
A robust AI solution for face restoration that effectively removes artifacts, enhances quality, and preserves facial details with unprecedented accuracy.
CodeFormer is a robust face restoration algorithm that effectively balances quality and fidelity in face restoration using a learned codebook.
CodeFormer is an advanced face restoration algorithm that uses a learned codebook to encode facial features and restore degraded images. It balances quality enhancement with identity preservation through an adjustable fidelity weight parameter.
CodeFormer can address multiple types of image degradation including low resolution, noise, compression artifacts, blurriness, and general quality loss in facial images.
CodeFormer is designed to preserve identity while enhancing quality. The fidelity weight parameter allows you to control how much the original identity is preserved versus how much enhancement is applied.
CodeFormer supports all common image formats including JPG, PNG, WEBP, and TIFF. For best results, we recommend using the highest quality source images available.
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