Text Effects Transfer
1 papers with code • 0 benchmarks • 1 datasets
Text effects transfer refers to the task of transferring typography styles (e.g., color, texture) to an input image of a text element.
Benchmarks
These leaderboards are used to track progress in Text Effects Transfer
TE141K
Latest papers with no code
DynTypo: Example-Based Dynamic Text Effects Transfer
In this paper, we present a novel approach for dynamic text effects transfer by using example-based texture synthesis.
Typography With Decor: Intelligent Text Style Transfer
The stylized text is finally embellished with decor where the placement of the decor is carefully determined by a novel structure-aware strategy.
TE141K: Artistic Text Benchmark for Text Effect Transfer
To the best of our knowledge, this is the largest dataset for text effect transfer to date.
TET-GAN: Text Effects Transfer via Stylization and Destylization
The key idea is to train our network to accomplish both the objective of style transfer and style removal, so that it can learn to disentangle and recombine the content and style features of text effects images.
