Liu, C.Y.[Chong-Yu],
Liu, Y.L.[Yu-Liang],
Jin, L.W.[Lian-Wen],
Zhang, S.T.[Shuai-Tao],
Luo, C.J.[Can-Jie],
Wang, Y.P.[Yong-Pan],
EraseNet: End-to-End Text Removal in the Wild,
IP(29), 2020, pp. 8760-8775.
IEEE DOI
2009
Benchmark testing, Task analysis, Head,
Image restoration, Training, Convolution, Scene text removal,
generative adversarial network (GAN)
BibRef
Tursun, O.[Osman],
Denman, S.[Simon],
Zeng, R.[Rui],
Sivapalan, S.[Sabesan],
Sridharan, S.[Sridha],
Fookes, C.[Clinton],
MTRNet++: One-stage mask-based scene text eraser,
CVIU(201), 2020, pp. 103066.
Elsevier DOI
2011
Image inpainting, Text removal, Generative adversarial network,
Text detection, Inpainting
BibRef
Tang, Z.[Zhengmi],
Miyazaki, T.[Tomo],
Sugaya, Y.[Yoshihiro],
Omachi, S.[Shinichiro],
Stroke-Based Scene Text Erasing Using Synthetic Data for Training,
IP(30), 2021, pp. 9306-9320.
IEEE DOI
2112
Image segmentation, Task analysis, Convolution, Training, Pipelines,
Engines, Detectors, Scene text erasing, synthetic text, background inpainting
BibRef
Lyu, G.T.[Guang-Tao],
Liu, K.[Kun],
Zhu, A.[Anna],
Uchida, S.[Seiichi],
Iwana, B.K.[Brian Kenji],
FETNet: Feature erasing and transferring network for scene text
removal,
PR(140), 2023, pp. 109531.
Elsevier DOI
2305
BibRef
And:
Corrigendum:
Elsevier DOI
2306
Scene text removal, Text segmentation, One-stage, Self-attention
BibRef
Du, X.C.[Xiang-Cheng],
Zhou, Z.[Zhao],
Zheng, Y.B.[Ying-Bin],
Wu, X.J.[Xing-Jiao],
Ma, T.L.[Tian-Long],
Jin, C.[Cheng],
Progressive scene text erasing with self-supervision,
CVIU(233), 2023, pp. 103712.
Elsevier DOI
2307
Scene text erasing, Progressive strategy, Self-supervision
BibRef
Wang, Y.X.[Yu-Xin],
Xie, H.T.[Hong-Tao],
Wang, Z.X.[Zi-Xiao],
Qu, Y.D.[Ya-Dong],
Zhang, Y.D.[Yong-Dong],
What is the Real Need for Scene Text Removal? Exploring the
Background Integrity and Erasure Exhaustivity Properties,
IP(32), 2023, pp. 4567-4580.
IEEE DOI
2309
BibRef
Gong, R.[Ran],
Zhu, A.[Anna],
Liu, K.[Kun],
Edge guided and Fourier attention-based Dual Interaction Network for
scene text erasing,
IVC(154), 2025, pp. 105406.
Elsevier DOI
2502
Scene text erasing, Text segmentation, One-stage, Fourier transform
BibRef
Feng, H.[Hao],
Wang, W.[Wendi],
Liu, S.[Shaokai],
Deng, J.J.[Jia-Jun],
Zhou, W.G.[Wen-Gang],
Li, H.Q.[Hou-Qiang],
DeepEraser: Deep Iterative Context Mining for Generic Text Eraser,
MultMed(27), 2025, pp. 1914-1925.
IEEE DOI
2504
Iterative methods, Feature extraction, Semantics, Training,
Benchmark testing, Aggregates, Image restoration, Detectors,
semantic context mining
BibRef
Zhang, B.Q.[Bo-Qiang],
Xie, H.T.[Hong-Tao],
Gao, Z.[Zuan],
Wang, Y.X.[Yu-Xin],
Choose What You Need: Disentangled Representation Learning for Scene
Text Recognition, Removal and Editing,
CVPR24(28358-28368)
IEEE DOI
2410
Visualization, Text recognition,
Disentangled representation learning, Interference, Decoding, Scene Text
BibRef
Du, X.C.[Xiang-Cheng],
Zhou, Z.[Zhao],
Zheng, Y.B.[Ying-Bin],
Ma, T.L.[Tian-Long],
Wu, X.J.[Xing-Jiao],
Jin, C.[Cheng],
Modeling Stroke Mask for End-to-End Text Erasing,
WACV23(6140-6148)
IEEE DOI
2302
Location awareness, Computational modeling, Detectors,
Maintenance engineering, Decoding, Feeds,
Low-level and physics-based vision
BibRef
Lee, H.[Hyeonsu],
Choi, C.[Chankyu],
The Surprisingly Straightforward Scene Text Removal Method with Gated
Attention and Region of Interest Generation: A Comprehensive Prominent
Model Analysis,
ECCV22(XVI:457-472).
Springer DOI
2211
BibRef
Hou, Y.J.[Yu-Jie],
Chen, J.[Jiwei],
Wang, Z.F.[Zeng-Fu],
Multi-branch Network with Ensemble Learning for Text Removal in the
Wild,
ACCV22(III:86-102).
Springer DOI
2307
BibRef
Liu, C.[Chongyu],
Jin, L.W.[Lian-Wen],
Liu, Y.L.[Yu-Liang],
Luo, C.[Canjie],
Chen, B.[Bangdong],
Guo, F.J.[Feng-Jun],
Ding, K.[Kai],
Don't Forget Me: Accurate Background Recovery for Text Removal via
Modeling Local-Global Context,
ECCV22(XXVIII:409-426).
Springer DOI
2211
BibRef
Conrad, B.[Benjamin],
Chen, P.I.[Pei-I],
Two-Stage Seamless Text Erasing on Real-World Scene Images,
ICIP21(1309-1313)
IEEE DOI
2201
Adaptation models, Image segmentation, Entertainment industry,
Media, Reliability engineering, Generators, Text erasing, Inpainting,
Text segmentation
BibRef
Zdenek, J.,
Nakayama, H.,
Erasing Scene Text with Weak Supervision,
WACV20(2227-2235)
IEEE DOI
2006
Image segmentation, Detectors, Training, Pipelines,
Neural networks, Generative adversarial networks
BibRef
Jaber, T.,
Amira, A.,
Milligan, P.,
Textual noise analysis and removal for effective search engines,
EUVIP10(129-133).
IEEE DOI
1110
BibRef
Pnevmatikakis, E.A.[Eftychios A.],
Maragos, P.[Petros],
An inpainting system for automatic image structure-texture
restoration with text removal,
ICIP08(2616-2619).
IEEE DOI
0810
BibRef
Chapter on OCR, Document Analysis and Character Recognition Systems continues in
CNN for Text Detection, Convolutional Neural Network .