Logo Lanfrica
  • Accueil
  • Atlas
  • Analyses
  • Documentation
  • Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

AmharicScrib-Diff: A Class-Conditional Denoising Diffusion Probabilistic Model for the Synthesis of Handwritten Amharic Fidel Characters

Domaine:

natural language processing

Type de record:

model
Créateur:
BoaFetEyoKin
Éditeur:
Ins
Hôte:

Visit

doi.org

Tasks

computer visionoptical character recognition

Languages

Amharic

Licenses

https://creativecommons.org/licenses/by/4.0/legalcode

Similaires

boaztulu/Fidel-Scribe-DiffHandwritten Amharic characters Recognition Using CNNA Database for Handwritten Yoruba CharactersAbdiTefera1/Amharic-Characters-Classification-modelA robust statistical set of features for Amazigh handwritten charactersAkhara: A Study on a Style-Conditioned Latent Diffusion Model for Khmer Handwriting Synthesis

boaztulu/Fidel-Scribe-Diff

An AI-powered Amharic text-to-handwriting converter. Leverages Diffusion Probabilistic Models to tra

Handwritten Amharic characters Recognition Using CNN

A Database for Handwritten Yoruba Characters

AbdiTefera1/Amharic-Characters-Classification-model

# Amharic Characters Image Classification The model trained by Amharic characters # ሀ ሁ ሂ ሃ ሄ ህ ሆ

A robust statistical set of features for Amazigh handwritten characters

Akhara: A Study on a Style-Conditioned Latent Diffusion Model for Khmer Handwriting Synthesis

Khmer, which is a language spoken by more than 16 million speakers, is considered a low-resource lan