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CVPR2021Top-tier venue

SSN: Soft Shadow Network for Image Compositing

Yichen Sheng, Jianming Zhang, Bedrich Benes

2021Year
17Top-tier citations

Abstract

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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