Samsung's PREEN Predicts Interpretable 29-Parameter Editor Presets for Color Transfer
SamsungResearch · hf · 2026-11-09
Samsung Research presents PREEN, which casts color style transfer as regression onto the 29 slider parameters of a deterministic image editor—outputting an interpretable, editor-consumable preset instead of a raster image.
- Supervision solved via a style-transfer teacher whose targets are inverted into pseudo-presets; a CLIP-conditioned regressor is pretrained then refined with LoRA under an image-level CIELAB loss
- Leads baselines on pixel and perceptual fidelity on the human-curated PST50 benchmark, with sub-second on-device inference
- The low-dimensional space exposes a single inference-time strength knob tracing a continuous default-to-vivid trajectory; human raters prefer vivid for matching the reference but default as a standalone photo
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