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20232025
most citedFrom Pampas to Pixels: Fine-Tuning Diffusion Models for Gaúcho Heritage

2 citations · 3 across the 7 of their papers we have counts for

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5 papers · 1 filter

cs.CL2024

Evaluation Metrics for Text Data Augmentation in NLP

Marcellus Amadeus, William Alberto Cruz Castañeda

Recent surveys on data augmentation for natural language processing have reported different techniques and advancements in the field. Several frameworks, tools, and repositories pr…

cs.CL2024

Phonetically rich corpus construction for a low-resourced language

Marcellus Amadeus, William Alberto Cruz Castañeda, Wilmer Lobato +1

Speech technologies rely on capturing a speaker's voice variability while obtaining comprehensive language information. Textual prompts and sentence selection methods have been pro…

cs.CV2024★ 1 cited

Image captioning for Brazilian Portuguese using GRIT model

Rafael Silva de Alencar, William Alberto Cruz Castañeda, Marcellus Amadeus

This work presents the early development of a model of image captioning for the Brazilian Portuguese language. We used the GRIT (Grid - and Region-based Image captioning Transforme…

cs.CV2024

An Inpainting-Infused Pipeline for Attire and Background Replacement

Felipe Rodrigues Perche-Mahlow, André Felipe-Zanella, William Alberto Cruz-Castañeda +1

In recent years, groundbreaking advancements in Generative Artificial Intelligence (GenAI) have triggered a transformative paradigm shift, significantly influencing various domains…

cs.CV2024★ 2 cited

From Pampas to Pixels: Fine-Tuning Diffusion Models for Gaúcho Heritage

Marcellus Amadeus, William Alberto Cruz Castañeda, André Felipe Zanella +1

Generative AI has become pervasive in society, witnessing significant advancements in various domains. Particularly in the realm of Text-to-Image (TTI) models, Latent Diffusion Mod…