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Paint by Example: Exemplar-Based Image Editing With Diffusion Models

CVPR 2023 · Image generation › Editing and style transfer · approach: Instruction-based diffusion editing · 347 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
add pretrained text-to-image initialization (ablation)self-reference exemplar editing baseline · COCOEE ablationFID: 3.61 -> 3.40Helped
add strong reference-image augmentation (ablation)prior-initialized exemplar editing model · COCOEE ablationCLIP Score: 88.79 -> 81.68Hurt
add information bottleneck using only the CLIP class token (ablation)augmented exemplar editing model · COCOEE ablationFID: 3.44 -> 3.26Helped
add information bottleneck using only the CLIP class token (ablation)augmented exemplar editing model · COCOEE ablationCLIP Score: 81.68 -> 81.41No clear effect
add classifier-free guidance (ablation)bottleneck exemplar editing model · COCOEE ablationQS: 76.62 -> 77.80Helped
add classifier-free guidance (ablation)bottleneck exemplar editing model · COCOEE ablationCLIP Score: 81.41 -> 84.97Helped
use exemplar image conditioning rather than text guidanceimage editing methods · COCOEECLIP Score: Stable Diffusion: 75.33; Ours: 84.97Helped
use the full exemplar-based method rather than Stable DiffusionCOCOEE image editing · COCOEEFID: 3.66 -> 3.18Helped
use the full exemplar-based method rather than Stable DiffusionCOCOEE image editing · COCOEEQS: 73.20 -> 77.80Helped
use the full method rather than DCCFCOCOEE image editing · COCOEECLIP Score: 82.18 -> 84.97Helped
increase classifier-free guidance scale (ablation)Paint by Example · COCOEEreference similarityHelped
use irregular masks during training (ablation)Paint by Example · in-the-wild image editingcontrollabilityHelped

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