Isaac Wasserman

UnShade

Unsupervised Shadow Removal

2023

Github Repo

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.

Before and after
Comparison of baseline, deep learning methods, and novel approach (ours)