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FastCLIPStyler: Towards fast text-based image style transfer using style representation. (arXiv:2210.03461v1 [cs.CV])
Oct. 10, 2022, 1:11 a.m. | Ananda Padhmanabhan Suresh, Sanjana Jain, Pavit Noinongyao, Ankush Ganguly
cs.LG updates on arXiv.org arxiv.org
Artistic style transfer is usually performed between two images, a style
image and a content image. Recently, a model named CLIPStyler demonstrated that
a natural language description of style could replace the necessity of a
reference style image. They achieved this by taking advantage of the CLIP
model, which can compute the similarity between a text phrase and an image. In
this work, we demonstrate how combining CLIPStyler with a pre-trained, purely
vision-based style transfer model can significantly reduce the …
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