ShadowRemovalRefine

Shadow Removal Refinement via Material-Consistent Shadow Edges.

Shilin Hu, Hieu Le, ShahRukh Athar, Sagnik Das, Dimitris Samaras. WACV 2025.

Proposed Benchmark Testset

400 pairs of test images and annotated edges. GoogleDrive

Getting Started

conda env create -f environment.yml

Fine-tuned SAM

You can directly use the checkpoint. Or train your own by

python train_finetunedSAM.py

Run ShadowRemovalRefine

First, change line83 in refine.py to your data path.

Then, run test_time_adaptation.sh

Our results are on GoogleDrive

Baseline Models

Check ShadowFormer and SP+M-Net for baseline models.