Synthesis in Style: Semantic Segmentation of Historical Documents using Synthetic Data

14 July 2021

Papers citing "Synthesis in Style: Semantic Segmentation of Historical Documents using Synthetic Data"

7 / 7 papers shown

Title
The Role of Generative Systems in Historical Photography Management: A Case Study on Catalan Archives Èric Śanchez Adrià Molina O. R. Terrades 24 0 0 05 Sep 2024
AI-Generated Images as Data Source: The Dawn of Synthetic Era Zuhao Yang Fangneng Zhan Kunhao Liu Muyu Xu Shijian Lu EGVM 25 18 0 03 Oct 2023
One Model to Reconstruct Them All: A Novel Way to Use the Stochastic Noise in StyleGAN Christian Bartz Joseph Bethge Haojin Yang Christoph Meinel 19 16 0 21 Oct 2020
UnrealText: Synthesizing Realistic Scene Text Images from the Unreal World Shangbang Long Cong Yao 50 67 0 24 Mar 2020
Semi-Supervised StyleGAN for Disentanglement Learning Weili Nie Tero Karras Animesh Garg Shoubhik Debhath Anjul Patney Ankit B. Patel Anima Anandkumar DRL 84 72 0 06 Mar 2020
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 262 10,344 0 12 Dec 2018
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network Wenzhe Shi Jose Caballero Ferenc Huszár J. Totz Andrew P. Aitken Rob Bishop Daniel Rueckert Zehan Wang SupR 190 5,173 0 16 Sep 2016