Scene Text Editing
5 papers with code • 0 benchmarks • 0 datasets
Benchmarks
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Latest papers with no code
On Manipulating Scene Text in the Wild with Diffusion Models
In experiments, we thoroughly assess and compare our proposed method against state-of-the-arts on various scene text datasets, then provide extensive ablation studies for each granularity to analyze our performance gain.
PSGText: Stroke-Guided Scene Text Editing with PSP Module
Initially, we introduce a text-swapping network that seamlessly substitutes the original text with the desired replacement.
Towards Scene-Text to Scene-Text Translation
In this work, we study the task of ``visually" translating scene text from a source language (e. g., English) to a target language (e. g., Chinese).
FAST: Font-Agnostic Scene Text Editing
However, most of the existing STE methods show inferior editing performance because of (1) complex image backgrounds, (2) various font styles, and (3) varying word lengths within the text.
Natural Scene Text Editing Based on AI
In a recorded situation, textual information is crucial for scene interpretation and decision making.
RewriteNet: Reliable Scene Text Editing with Implicit Decomposition of Text Contents and Styles
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.
