Neural Contours: Learning to Draw Lines From 3D Shapes
Difan Liu, Mohamed Nabail, Aaron Hertzmann, Evangelos Kalogerakis
2020年份
11顶会引用
摘要
Adobe Research Figure 1 : Given a 3D model (left), our network creates a line drawing that conveys its structure more accurately compared to using other methods individually, such as Occluding Contours [1], Apparent Ridges [22] , and pix2pix variants [37] . Please see appendix for results on many more models.
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引用它的顶会 Paper11
- Learning to generate line drawings that convey geometry and semanticsCaroline Chan, Frédo Durand, Phillip IsolaCVPR 2022 · 被引用 86 次
- Neural Strokes: Stylized Line Drawing of 3D ShapesDifan Liu, Matthew Fisher, Aaron Hertzmann, Evangelos KalogerakisICCV 2021 · 被引用 29 次
- SketchEmbedNet: Learning Novel Concepts by Imitating DrawingsAlexander Wang, Mengye Ren, Richard S. ZemelICML 2021 · 被引用 24 次
- Tracing versus freehand for evaluating computer-generated drawingsZeyu Wang, Sherry Qiu, Nicole Feng, Holly E. Rushmeier 等SIGGRAPH 2021 · 被引用 20 次
- VecFusion: Vector Font Generation with DiffusionVikas Thamizharasan, Difan Liu, Shantanu Agarwal, Matthew Fisher 等CVPR 2024 · 被引用 18 次
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