Search Results for author: Moonbin Yim

Found 4 papers, 3 papers with code

On Web-based Visual Corpus Construction for Visual Document Understanding

1 code implementation7 Nov 2022 Donghyun Kim, Teakgyu Hong, Moonbin Yim, Yoonsik Kim, Geewook Kim

In recent years, research on visual document understanding (VDU) has grown significantly, with a particular emphasis on the development of self-supervised learning methods.

document understanding Optical Character Recognition (OCR) +1

OCR-free Document Understanding Transformer

3 code implementations30 Nov 2021 Geewook Kim, Teakgyu Hong, Moonbin Yim, Jeongyeon Nam, Jinyoung Park, Jinyeong Yim, Wonseok Hwang, Sangdoo Yun, Dongyoon Han, Seunghyun Park

Current Visual Document Understanding (VDU) methods outsource the task of reading text to off-the-shelf Optical Character Recognition (OCR) engines and focus on the understanding task with the OCR outputs.

Document Image Classification document understanding +3

RewriteNet: Reliable Scene Text Editing with Implicit Decomposition of Text Contents and Styles

no code implementations23 Jul 2021 Junyeop Lee, Yoonsik Kim, Seonghyeon Kim, Moonbin Yim, Seung Shin, Gayoung Lee, Sungrae Park

Scene text editing (STE), which converts a text in a scene image into the desired text while preserving an original style, is a challenging task due to a complex intervention between text and style.

Image Generation Scene Text Editing +1

SynthTIGER: Synthetic Text Image GEneratoR Towards Better Text Recognition Models

1 code implementation20 Jul 2021 Moonbin Yim, Yoonsik Kim, Han-Cheol Cho, Sungrae Park

For successful scene text recognition (STR) models, synthetic text image generators have alleviated the lack of annotated text images from the real world.

Image Generation Scene Text Recognition

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