SSN: Soft Shadow Network for Image Compositing
Yichen Sheng, Jianming Zhang, Bedrich Benes
摘要
a) object cutouts (2D masks) (b) soft shadows generated by our SNN from the image-based light map above Figure 1: Our Soft Shadow Network (SSN) produces convincing soft shadows given an object cutout mask and a user-specified environment lighting map. (a) shows the object cutouts for this demo, including different object categories and image types, e.g. sketch, picture, vector arts. In (b), we show the soft shadow effects generated by our SSN. The changing lighting map used for these examples is shown at the corner of (b). The generated shadows have realistic shade details near the object-ground contact points and enhance image compositing 3D effect. More animated results can be found on our project page ( https://shengcn.github.io/SSN ).
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引用它的顶会 Paper17
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它引用的顶会 Paper4
- PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human DigitizationShunsuke Saito, Zeng Huang, Ryota Natsume, Shigeo Morishima 等ICCV 2019 · 被引用 1,411 次
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- Learning to Shadow Hand-Drawn SketchesQingyuan Zheng, Zhuoru Li, Adam BargteilCVPR 2020
- PIFuHD: Multi-Level Pixel-Aligned Implicit Function for High-Resolution 3D Human DigitizationShunsuke Saito, Tomas Simon, Jason M. Saragih, Hanbyul JooCVPR 2020
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