mlsanityData to 14 Oct 2026

Selective Scene Text Removal

arXiv 2309.00410 ↗First posted 1 Sep 2023cs.CV cs.LGcited by 2

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Abstract (arXiv)

Scene text removal (STR) is the image transformation task to remove text regions in scene images. The conventional STR methods remove all scene text. This means that the existing methods cannot select text to be removed. In this paper, we propose a novel task setting named selective scene text removal (SSTR) that removes only target words specified by the user. Although SSTR is a more complex task than STR, the proposed multi-module structure enables efficient training for SSTR. Experimental results show that the proposed method can remove target words as expected.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 20 of its 23 references that are in the map. First posted on arXiv 1 Sep 2023.

Builds on

20 of 23 references.

References · 20

  1. 2015U-Net: Convolutional Networks for Biomedical Image Segmentationcited by 19,713
  2. 2016Synthetic Data for Text Localisation in Natural Imagescited by 396
  3. 2014Synthetic Data and Artificial Neural Networks for Natural Scene Text Recognitioncited by 214
  4. 2018Scene Text Detection and Recognition: The Deep Learning Eracited by 114
  5. 2022Towards End-to-End Unified Scene Text Detection and Layout Analysiscited by 97
  6. 2022Real-Time Scene Text Detection with Differentiable Binarization and Adaptive Scale Fusioncited by 94
  7. 2019Editing Text in the Wildcited by 82
  8. 2022SwinTextSpotter: Scene Text Spotting via Better Synergy between Text Detection and Text Recognitioncited by 70
  9. 2022Text Spotting Transformerscited by 70
  10. 2021SynthTIGER: Synthetic Text Image GEneratoR Towards Better Text Recognition Modelscited by 43
  11. 2019MTRNet: A Generic Scene Text Erasercited by 29
  12. 2018EnsNet: Ensconce Text in the Wildcited by 27
8 more
  1. 2019Conditioned-U-Net: Introducing a Control Mechanism in the U-Net for Multiple Source Separationscited by 27
  2. 2017Scene Text Erasercited by 26
  3. 2019MTRNet++: One-stage Mask-based Scene Text Erasercited by 24
  4. 2021De-rendering Stylized Textscited by 24
  5. 2021Stroke-Based Scene Text Erasing Using Synthetic Data for Trainingcited by 20
  6. 2020Scene text removal via cascaded text stroke detection and erasingcited by 18
  7. 2021PERT: A Progressively Region-based Network for Scene Text Removalcited by 13
  8. 2022The Surprisingly Straightforward Scene Text Removal Method With Gated Attention and Region of Interest Generation: A Comprehensive Prominent Model Analysiscited by 13

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Cited by year

Citing papers per year: 2024: 1; 2025: 1.

2 papers.

  1. 2024Visual Text Meets Low-level Vision: A Comprehensive Survey on Visual Text Processingcited by 8
  2. 2025Inverse Scene Text Removalcited by 0