深度学习辅助漫画翻译工具, 支持一键机翻和简单的图像/文本编辑 | Yet another computer-aided comic/manga translation tool powered by deeplearning

OCR Tamil is a powerful tool that can detect and recognize text in Tamil images with high accuracy on Natural Scenes

A comprehensive list [I3CL@IJCV'22, DPText-DETR@AAAI'23, DeepSolo(++)@ CVPR'23] of our research works related to scene text detection and spotting, including papers, codes. Note: The official repo for "I3CL: Intra- and Inter-Instance Collaborative Learning for Arbitrary-shaped ..." has been moved to: https://github.com/ViTAE-Transformer/I3CL

A collection of original, innovative ideas and algorithms towards Advanced Literate Machinery. This project is maintained by the OCR Team in the Language Technology Lab, Tongyi Lab, Alibaba Group.

A paper collection of recent diffusion models for text-image generation tasks, e,g., visual text generation, font generation, text removal, text image super resolution, text editing, handwritten generation, scene text recognition and scene text detection.

CnSTD: 基于 PyTorch/MXNet 的 中文/英文 场景文字检测（Scene Text Detection）、数学公式检测（Mathematical Formula Detection, MFD）、篇章分析（Layout Analysis）的Python3 包

A PyTorch implementation of "Real-time Scene Text Detection with Differentiable Binarization".

Text Detection using Pretrained CRAFT model in MATLAB

'PixelLink' (Deng et al., 2018) implementation from scratch in PyTorch

An ONNX exporter fot the DeepSolo scene text recognition model

TextBoxes++: A Single-Shot Oriented Scene Text Detector

Baek, Youngmin, et al. Character Region Awareness for Text Detection. Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. 2019. p. 9365-9374.

Total Text Dataset. It consists of 1555 images with more than 3 different text orientations: Horizontal, Multi-Oriented, and Curved, one of a kind.

[AAAI'23 Oral] DPText-DETR: Towards Better Scene Text Detection with Dynamic Points in Transformer

Manga&Comic text detection

Making machine learning and computer vision simple.

Wang, Wenhai, et al. PAN++: Towards Efficient and Accurate End-to-End Spotting of Arbitrarily-Shaped Text. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021, 44.9: 5349-5367.

A TensorFlow 2 reimplementation of DBNet available as a Python package for Scene Text Detection, following ICDAR 2015 Dataset format and using TedEval as Evaluation metrics

The official repo for [IJCV'22] "I3CL: Intra- and Inter-Instance Collaborative Learning for Arbitrary-shaped Scene Text Detection"