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It is a Python-based tool designed to generate stylish fonts using input images and text. The script processes images, applies transformations, and combines them with text to create visually appealing fonts. It supports various configurations, including custom fonts and rotation options, and outputs the results in organized directories.
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.
Comparison (Benchmark) table of 80+ AI-based font generation projects since since 2010. Table compares techniques, datasets and tasks. Use the reseource when starting own research.
The unified repository for few-shot font generation methods. This repository includes FUNIT (ICCV'19), DM-Font (ECCV'20), LF-Font (AAAI'21) and MX-Font (ICCV'21).
H-Former is a VAE for generating in-between fonts (or combining fonts). Its encoder uses a Point net and transformer to compute a code vector of glyph. Its decoder is composed of multiple independent decoders which act on a code vector to reconstruct a point cloud representing a glpyh.