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Paper · arXiv

PREEN: Exemplar-Based Color Style Transfer with Smartphone Editor Presets

We present PREEN (Preset Regression via an Exemplar-based Editor Network), which casts color style transfer as regression onto the 29 parameters of a deterministic image editor. Given a content image and a style reference, PREEN predicts a preset, a vector of editor slider values that is interpretable and editor-consumable, not a raster image. The key obstacle is supervision, since an arbitrary real reference lacks a preset ground truth. We therefore supervise with a style-transfer teacher, whose target looks we invert into the editor's parameter space as pseudo-presets, then pretrain a CLIP-conditioned regressor and refine it with LoRA under an image-level CIELAB loss. On the human-curat...

AuthorsBeomjin Ahn
Primary categorycs.CV
Published27 October 2026
Last updated at source27 October 2026
cs.CVcs.LG
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