From A to Z: Supervised Transfer of Style and Content Using Deep Neural Network Generators

7 March 2016

Papers citing "From A to Z: Supervised Transfer of Style and Content Using Deep Neural Network Generators"

11 / 11 papers shown

Title
DGFont++: Robust Deformable Generative Networks for Unsupervised Font Generation Xinyuan Chen Yangchen Xie Li Sun Yue Lu 17 4 0 30 Dec 2022
Neural Font Rendering Daniel Anderson Ariel Shamir Ohad Fried GAN AI4CE 15 1 0 27 Nov 2022
Natural Scene Text Editing Based on AI Yujie Zhang 20 0 0 26 Nov 2021
ALADIN: All Layer Adaptive Instance Normalization for Fine-grained Style Similarity Dan Ruta Saeid Motiian Baldo Faieta Zhe-nan Lin Hailin Jin Alex Filipkowski Andrew Gilbert John Collomosse AI4CE 30 32 0 17 Mar 2021
Artistic Glyph Image Synthesis via One-Stage Few-Shot Learning Yue Gao Yuan Guo Z. Lian Yingmin Tang Jianguo Xiao GAN 38 100 0 11 Oct 2019
Deep Parametric Shape Predictions using Distance Fields Dmitriy Smirnov Matthew Fisher Vladimir G. Kim Richard Y. Zhang Justin Solomon 22 54 0 18 Apr 2019
Learning icons appearance similarity Manuel Lagunas Elena Garces Diego F. F. Gutierrez 19 17 0 01 Feb 2019
Typeface Completion with Generative Adversarial Networks Xin Long Junhyun Lee Yookyung Koh Inyeop Lee Jinhyuk Lee Jaewoo Kang 8 3 0 09 Nov 2018
A Unified Framework for Generalizable Style Transfer: Style and Content Separation Yexun Zhang Ya-Qin Zhang Wenbin Cai 24 40 0 13 Jun 2018
Separating Style and Content for Generalized Style Transfer Yexun Zhang Ya-Qin Zhang Wenbin Cai Jie Chang 28 172 0 17 Nov 2017
Learning Typographic Style S. Baluja 16 15 0 13 Mar 2016