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Research map / Image generation / Editing and style transfer

Learning to Cartoonize Using White-Box Cartoon Representations

CVPR 2020 · Image generation › Editing and style transfer · approach: Texture and sketch synthesis · 144 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
decompose images into surface, structure, and texture representations and train with separate objectivesimage cartoonization · SceneryFID to Cartoon: 130.38 -> 101.31Helped
decompose images into surface, structure, and texture representations and train with separate objectivesimage cartoonization · SceneryFID to Photo: 75.28 -> 28.79Helped
use the white-box representation-guided GAN frameworkimage cartoonization · User studycartoon quality mean score: 2.977 -> 4.017Helped
use the white-box representation-guided GAN frameworkimage cartoonization · User studyoverall quality mean score: 2.38 -> 3.877Helped
use the white-box cartoonization modelimage cartoonization · LR 256*256, CPUinference time (ms): 639.31 -> 64.66Helped
use the white-box cartoonization modelimage cartoonization · LR 256*256, GPUinference time (ms): 9.22 -> 3.58Helped
use the white-box cartoonization modelimage cartoonization · HR 720*1280, GPUinference time (ms): 48.96 -> 17.23Helped
use the white-box cartoonization modelimage cartoonization · modelparameters (M): 1.68 -> 1.48Helped
add the texture representation (ablation)full cartoonization model · cartoonizationdetail cleanlinessHelped
add the structure representation (ablation)full cartoonization model · cartoonizationhigh-frequency noiseHelped
add the surface representation (ablation)full cartoonization model · cartoonizationsurface smoothnessHelped
increase the texture-representation loss weightcartoonization model · style controlretained high-frequency detailHelped

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