[AAAI2024] FontDiffuser: One-Shot Font Generation via Denoising Diffusion with Multi-Scale Content Aggregation and Style Contrastive Learning
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Updated
Mar 14, 2024 - Python
[AAAI2024] FontDiffuser: One-Shot Font Generation via Denoising Diffusion with Multi-Scale Content Aggregation and Style Contrastive Learning
🔥 [CVPR 2020] STEFANN: Scene Text Editor using Font Adaptive Neural Network (official code).
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).
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.
Official PyTorch implementation of LF-Font (Few-shot Font Generation with Localized Style Representations and Factorization) AAAI 2021
Official PyTorch implementation of MX-Font (Multiple Heads are Better than One: Few-shot Font Generation with Multiple Localized Experts) ICCV 2021
Official PyTorch implementation of DM-Font (ECCV 2020)
[ICCV 2023] Few shot font generation via transferring similarity guided global and quantization local styles
Font File Generation in Haxe
Official PaddlePaddle Implementation of Few-Shot Font Generation by Learning Fine-Grained Local Styles (FsFont)
Kanji-glyph Automatic Generating Engine
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.
AI Font Generation Benchmarks. Comparative analysis of AI font generation projects since 2010.
Synthesize High-Quality Thai Vector Fonts with DeepVecFont-V2.
Open Source Dot Matrix font generator
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 web-app based project for digitalizing Malayalam handwritten documents into text and for creating personalised fonts.
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