UnShade
Unsupervised Shadow Removal
2023
Partnership with Grace Benner and Chenchen Lin
UnShade is a naive, yet surprisingly powerful, unsupervised baseline for portrait shadow removal. Using only classical computer vision techniques, such as Poisson blending, PatchMatch, and Gaussian mixture models, UnShade is a fully-unsupervised approach that can outperform unsupervised models in terms of structural similarity and can beat supervised models in terms of perceptual similarity.
![](https://cdn.sanity.io/images/mfxt9eaf/production/4795397b6dc8dde2692235745153295df5068237-900x600.png?auto=format&fit=max&q=75&w=900)
![](https://cdn.sanity.io/images/mfxt9eaf/production/5c6cef3e553cff5676b38183198201e588eb9106-1628x2078.png?auto=format&fit=max&q=75&w=1628)