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StyleShot StyleShot: A SnapShot on Any Style Junyao Gao 1,2 Yanchen Liu 2 Yanan Sun 2,‡ Yinhao Tang 2 Yanhong Zeng 2 Kai Chen 2* Cairong Zhao 1* 1 Tongji University, 2 Shanghai AI Laboratory, * Corresponding author, ‡ Project Leader Visualization results of StyleShot for text and image driven style transfer across six style reference images. Each stylized image is generated by StyleShot without test-time style-tuning, capturing numerous nuances such as colors, textures, illumination and layout. [Paper] [Code] [BibTeX] [Dataset] [Demo] 1-minute Video StyleShot is a style transfer model that excels in text and image-driven style transferring without test-time style-tuning. Abstract In this paper, we show that, a good style representation is crucial and sufficient for generalized style transfer without test-time tuning. We achieve this through constructing a style-aware encoder and a well-organized style dataset ...
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