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DemoCaricature: Democratising Caricature Generation with a Rough Sketch

CVPR 2024 · Image generation › Editing and style transfer · approach: Diffusion face generation and editing · 11 citations (OpenAlex)

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Proposes DemoCaricature, a single-image text-to-image personalisation method with Explicit Rank-1 Model Editing and Random Mask Reconstruction that turns a photo plus a rough sketch (and optional style image) into a personalised caricature.

Problem

Generating personalised caricatures that balance identity preservation with sketch-driven abstraction and style, from a single photo and a rough freehand sketch, without overfitting to one reference image.

Approach

Edits only the concept-token entry of the cross-attention Key/Value projections with a rank-1 cosine-gated update (Explicit ROME), adds random-mask latent reconstruction loss, and combines a frozen T2I-Adapter sketch conditioning on Stable Diffusion v1.5, enabling identity and style concepts to be merged without interference.

Key results

Measured effects reported in the paper

What was changedWhereMeasuredEffect
add Explicit ROME editing (ablation)DemoCaricature · CLIP-Score IDsimilarity: 0.664 -> 0.671Helped
add Explicit ROME editing (ablation)DemoCaricature · CLIP-Score Stylesimilarity: 0.530 -> 0.576Helped
add Explicit ROME editing (ablation)DemoCaricature · CLIP-Score Shapesimilarity: 0.661 -> 0.654Hurt
add random mask reconstruction (ablation)DemoCaricature · CLIP-Score IDsimilarity: 0.659 -> 0.671Helped
add random mask reconstruction (ablation)DemoCaricature · CLIP-Score Stylesimilarity: 0.567 -> 0.576Helped
add random mask reconstruction (ablation)DemoCaricature · CLIP-Score Shapesimilarity: 0.694 -> 0.654Hurt
replace Mahalanobis distance with cosine similarity (ablation)DemoCaricature · CLIP-Score IDsimilarity: 0.666 -> 0.671Helped
replace Mahalanobis distance with cosine similarity (ablation)DemoCaricature · CLIP-Score Stylesimilarity: 0.574 -> 0.576Helped
replace Mahalanobis distance with cosine similarity (ablation)DemoCaricature · CLIP-Score Shapesimilarity: 0.663 -> 0.654Hurt
use DemoCaricature instead of Textual Inversioncaricature generation · CLIP-Score IDsimilarity: 0.634 -> 0.671Helped
use DemoCaricature instead of Perfusioncaricature generation · CLIP-Score Stylesimilarity: 0.549 -> 0.576Helped
use DemoCaricature instead of Perfusioncaricature generation · CLIP-Score Shapesimilarity: 0.676 -> 0.654Hurt

Surprising findings

Limitations

Experimental setup

Datasets: WebCaricature

Benchmarks: WebCaricature test set (curated 20 identities, 4 styles, 12 shapes)

Metrics: CLIP-Score for ID CLIP-Score for style CLIP-Score for shape human study score (1-5)

Baselines: Textual Inversion Perfusion StyleCariGAN CariGANs WarpGAN

Builds on: ROME Perfusion Textual Inversion T2I-Adapter Stable Diffusion

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