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Found 3 papers, 1 papers with code
Fine-Grained Image Style Transfer with Visual Transformers
Such a design usually destroys the spatial information of the input images and fails to transfer fine-grained style patterns into style transfer results.
Improving Visual Quality of Image Synthesis by A Token-based Generator with Transformers
Given a sequence of style tokens, the TokenGAN is able to control the image synthesis by assigning the styles to the content tokens by attention mechanism with a Transformer.
Image Semantic Transformation: Faster, Lighter and Stronger
We propose Image-Semantic-Transformation-Reconstruction-Circle(ISTRC) model, a novel and powerful method using facenet's Euclidean latent space to understand the images.
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