OTR: Synthesizing Overlay Text Dataset for Text Removal
Text removal is a crucial task in computer vision with applications such as privacy preservation, image editing, and media reuse. While existing research has primarily focused on …
OTR: Synthesizing Overlay Text Dataset for Text Removal
Controllable Font Style for Visual Text Generation Using Reference Images
The rapid development of diffusion-based generative models has significantly advanced the field of text-to-image generation, enabling high-quality image creation for diverse …
グラフィックデザイン再編集のためのテキスト分離に向けて (Towards Text Decomposition for Graphic Design Re-editing)
tomoyuki-suzuki
Handwritten Text Generation with Character-specific Encoding for Style Imitation
We propose a novel method for handwritten text generation that uses a style encoder based on a vision transformer network. The style encoder encodes handwriting style from …
Can We Erase Japanese Text from Images Without Japanese Training Data?
Meta Approach to Data Augmentation Optimization
Data augmentation policies drastically improve the performance of image recognition tasks, especially when the policies are optimized for the target data and tasks. In this paper, …
ryuichiro-hataya
JokerGAN: Memory-Efficient Model for Handwritten Text Generation with Text Line Awareness
Collecting labeled data for training of models for image recognition problems, including handwritten text recognition (HTR), is a tedious and expensive task. Recent work on …
Efficient Model for Handwritten Text Generation with Text Line Awareness
later