This repository is an implementation of paper "OPAL: Occlusion Pattern Aware Loss for Unsupervised Light Field Disparity Estimation".
Peng Li, Jiayin Zhao, Jingyao Wu, Chao Deng, Yuqi Han, Haoqian Wang, Tao Yu
Tsinghua University
option.py
if needed. We have provided our default settings in the realeased codes.train.py
to perform network training../checkpoints/
./dataset/hci_dataset
../dataset
(see the attached example).test.py
to perform inference on each test scene.general_52_eslf_depth.tif
) will be saved to ./results/OPENet/latest/scan_LF/
.