Scene Text Editing
5 papers with code • 0 benchmarks • 0 datasets
Benchmarks
These leaderboards are used to track progress in Scene Text Editing
Most implemented papers
Editing Text in the Wild
Specifically, we propose an end-to-end trainable style retention network (SRNet) that consists of three modules: text conversion module, background inpainting module and fusion module.
STEFANN: Scene Text Editor using Font Adaptive Neural Network
In this paper, we propose a method to modify text in an image at character-level.
Exploring Stroke-Level Modifications for Scene Text Editing
Moreover, two new datasets (Tamper-Syn2k and Tamper-Scene) are proposed to fill the blank of public evaluation datasets.
Improving Diffusion Models for Scene Text Editing with Dual Encoders
Scene text editing is a challenging task that involves modifying or inserting specified texts in an image while maintaining its natural and realistic appearance.
UDiffText: A Unified Framework for High-quality Text Synthesis in Arbitrary Images via Character-aware Diffusion Models
Text-to-Image (T2I) generation methods based on diffusion model have garnered significant attention in the last few years.