“Semi-supervised Reference-based Sketch Extraction Using a Contrastive Learning Framework” by Seo, Ashtari and Noh
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Title:
- Semi-supervised Reference-based Sketch Extraction Using a Contrastive Learning Framework
Session/Category Title: Magical Sketching
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Abstract:
This paper presents a novel multi-modal sketch extraction method that imitates individual artist styles using unpaired data in a semi-supervised manner. The proposed method overcomes limitations of existing techniques, including low-quality results and training difficulties, outperforming state-of-the-art sketch extraction and image-translation methods in both quantitative and qualitative evaluations.
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