No Shadow Left Behind: Removing Objects and Their Shadows Using Approximate Lighting and Geometry
Edward Zhang, Ricardo Martin-Brualla, Janne Kontkanen, Brian L. Curless
2021Year
1Top-tier citations
Abstract
We present a method to remove an object and its shadows from an image, to enable applications like home refurnishing. Our method takes as input an image, approximate scene lighting and geometry, and an object mask, and generates a new version of the image that depicts the scene as if the object had not been present. This not only includes inpainting the occluded pixels, but removing any shadows cast by the object.
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- ARGAN: Attentive Recurrent Generative Adversarial Network for Shadow Detection and RemovalBin Ding, Chengjiang Long, Ling Zhang, Chunxia XiaoICCV 2019 · 171 citations
- Contextual Residual Aggregation for Ultra High-Resolution Image InpaintingZili Yi, Qiang Tang, Shekoofeh Azizi, Daesik Jang et al.CVPR 2020
- Lighthouse: Predicting Lighting Volumes for Spatially-Coherent IlluminationPratul P. Srinivasan, Ben Mildenhall, Matthew Tancik, Jonathan T. Barron et al.CVPR 2020
- Instance Shadow DetectionTianyu Wang, Xiaowei Hu, Qiong Wang, Pheng-Ann Heng et al.CVPR 2020
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