awesometextsuper-resolutiontext-to-imagehandwrittentext-editingscene-text-recognitionscene-text-detectiondiffusion-modelstext-imagefont-generationtext-removal
A Text Attention Network for Spatial Deformation Robust Scene Text Image Super-resolution (CVPR2022) - mjq11302010044/TATT
在这项工作中,我们选择最先进的识别器ASTER [37],MORAN [28]和CRNN [36]作为基线识别器,以评估SR图像的识别准确性。 Scene Text Image Super-Resolution 先前在场景文本图像超分辨率上进行的一些工作旨在提高识别精度和图像质量评估指标。 [29]比较了几种人工滤波器在降采样后的文本图像上的性能。 [32]提出了一...
本项目为百度论文复现赛《Scene Text Telescope: Text-Focused Scene Image Super-Resolution》论文复现代码。 依赖环境: paddlepaddle-gpu2.3.1 python3.7 复现精度: 二、模型背景及其介绍 论文提出了一个聚焦文本的超分辨率框架,称为场景文本Telescope(STT)。在文本级布局方面,提出了一个基于Transformer的超分辨网络(TBS...
But instead of storing therasterizedglyph on the texture the way bitmap fonts do, the glyph’sSDFis generated and stored instead which allows for a high resolution shape from a low resolution image. Like polygonal meshes (font geometries),SDFsrepresent shapes. Each pixel on anSDFstores the dist...
自然语言处理开发库，PPDiffusers 提供了超过50种 SOTA 扩散模型 Pipelines 集合，支持文图生成（Text-to-Image Generation）、文本引导的图像编辑（Text-Guided Image Inpainting）、文本引导的图像变换（Image-to-Image Text-Guided Generation）、文本条件视频生成（Text-to-Video Generation）、超分（Super Resolution）...
CORN 1, a nerve segmentation dataset from BioImLab, University of Padova (https://github.com/iMED-Lab/CS-Net), CORN 2, a confocal image enhancement dataset, and CORN 3, a nerve tortuosity estimation dataset. The latter two require application to the lab for use. Cai et al. also develope...
Full size image Single-modality module―cell type annotation In the single-modality module, cell type annotation is to annotate the cell type of an individual cell by comparing the query data to annotated reference data (e.g., a single-cell atlas) or employing marker genes indicative of a pa...
Computational Efficiency Image Generation Super-Resolution Text-to-Image Generation Datasets Edit MS COCO Results from the Paper Edit Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers. Methods...
In this paper, we introduce a novel generative model for scene text super-resolution called diffusion-conditioned-diffusion model (DCDM). The model is designed to learn the distribution of high-resolution images via two conditions: 1) the low-resolution image and 2) the character-level text ...