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Found 4 papers, 1 papers with code
Looks Like Magic: Transfer Learning in GANs to Generate New Card Illustrations
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 transfer learning into a rather different domain: creating new illustrations for the vast universe of the game "Magic: The Gathering" cards.
Efficient Neural Architecture for Text-to-Image Synthesis
Image generation, by itself, is a challenging task.
Component Analysis for Visual Question Answering Architectures
Our major contribution is to identify core components for training VQA models so as to maximize their predictive performance.
Order embeddings and character-level convolutions for multimodal alignment
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 computer vision.
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