3 citations · 3 across the 2 of their papers we have counts for
4 papers
Looks Like Magic: Transfer Learning in GANs to Generate New Card Illustrations
Matheus K. Venturelli, Pedro H. Gomes, Jônatas Wehrmann
In this paper, we propose MAGICSTYLEGAN and MAGICSTYLEGAN-ADA - both incarnations of the state-of-the-art models StyleGan2 and StyleGan2 ADA - to experiment with their capacity of…
Efficient Neural Architecture for Text-to-Image Synthesis
Douglas M. Souza, Jônatas Wehrmann, Duncan D. Ruiz
Text-to-image synthesis is the task of generating images from text descriptions. Image generation, by itself, is a challenging task. When we combine image generation and text, we b…
Component Analysis for Visual Question Answering Architectures
Camila Kolling, Jônatas Wehrmann, Rodrigo C. Barros
Recent research advances in Computer Vision and Natural Language Processing have introduced novel tasks that are paving the way for solving AI-complete problems. One of those tasks…
Order embeddings and character-level convolutions for multimodal alignment
Jônatas Wehrmann, Anderson Mattjie, Rodrigo C. Barros
With the novel and fast advances in the area of deep neural networks, several challenging image-based tasks have been recently approached by researchers in pattern recognition and…