Real-to-Cartoon translation
3 papers with code • 0 benchmarks • 0 datasets
Cartoonifying images
Benchmarks
These leaderboards are used to track progress in Real-to-Cartoon translation
Most implemented papers
CartoonGAN: Generative Adversarial Networks for Photo Cartoonization
mnicnc404/CartoonGan-tensorflow
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CVPR 2018
Two novel losses suitable for cartoonization are proposed: (1) a semantic content loss, which is formulated as a sparse regularization in the high-level feature maps of the VGG network to cope with substantial style variation between photos and cartoons, and (2) an edge-promoting adversarial loss for preserving clear edges.
Learning to Cartoonize Using White-Box Cartoon Representations
SystemErrorWang/White-box-Cartoonization
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CVPR 2020
This paper presents an approach for image cartoonization.
ReStyle: A Residual-Based StyleGAN Encoder via Iterative Refinement
yuval-alaluf/restyle-encoder
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ICCV 2021
Instead of directly predicting the latent code of a given real image using a single pass, the encoder is tasked with predicting a residual with respect to the current estimate of the inverted latent code in a self-correcting manner.
