A. Elad, Gal Metzer, Omer Dahari, Min Lu, Daniel Cohen‐Or · 2026 · arXiv (Cornell University)
DOI: 10.48550/arxiv.2610.26820 · cited by 0 works (OpenAlex) · open-access PDF
私たちは、より挑戦的な環境を考えます:スタイリッシュラテンアルファベットのジオメトリックデザイン言語を学び、ギリシャ語のグリフから完全に異なる構造、例えば人間のポーズに適用されます。私たちは、同じ家族の新しい形状のジオメトリックスタイル転送を導入し、学んだジオメトリックスタイルを適用できる形状を学ぶことは、そのスタイルが観察された形状ファミリーに限定されていません。この設定は、ギリシャ語のグリフから完全に異なる構造を学ぶだけでなく、形状ファミリーを学ぶことなく、スタイルを学ぶことが困難です。私たちは、構造スケッチによって形状を表示し、構造的なアプローチを LoometryRAファ
Machine translation (Meta M2M100); the English original follows.
A geometric style learned from one family of shapes is typically applied to new shapes from the same family. We consider a more challenging setting: learning the geometric design language of a stylized Latin alphabet and applying it to new forms, from Greek glyphs to entirely different structures such as human poses. We introduce Open-Form Geometric Style Transfer, where the forms to which a learned geometric style can be applied are not restricted to the shape family in which that style was observed. This setting is deceptively challenging: the difficulty is not merely learning a style, but learning the style without learning the shape family in which it was observed. We represent target forms by structural sketches and disentangle structural adherence from style realization using a Geometry LoRA and a style-specific LoRA. Critically, open-form transfer requires the Geometry LoRA to be universal. To achieve this, we devise a geometry-enrichment strategy that constructs a large and purposefully diverse collection of synthetic structural sketches spanning a broad range of unfamiliar geometries. Our experiments and ablations demonstrate the importance of both disentanglement and this universal geometry prior, enabling geometric styles learned from glyphs, pictograms, and other shape families to be transferred to substantially different, unseen forms.
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Topics: Style (visual arts), Stylized fact, Artificial intelligence, Computer science, Geometric shape, Alphabet
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