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Found 4 papers, 1 papers with code
Realtime Fewshot Portrait Stylization Based On Geometric Alignment
Previous learning based stylization methods suffer from the geometric and semantic gaps between portrait domain and style domain, which obstacles the style information to be correctly transferred to the portrait images, leading to poor stylization quality.
The Animation Transformer: Visual Correspondence via Segment Matching
Visual correspondence is a fundamental building block on the way to building assistive tools for hand-drawn animation.
Learning Aesthetic Layouts via Visual Guidance
Third, we developed a pipeline using generative adversarial networks to learn the principles of visual guidance and that can produce aesthetically pleasing layouts.
Learning to Shadow Hand-drawn Sketches
We present a fully automatic method to generate detailed and accurate artistic shadows from pairs of line drawing sketches and lighting directions.
