Repository of our CVPR2021 paper "PLADE-Net: Towards Pixel-Level Accuracy for Self-Supervised Single-View Depth Estimation With Neural Positional Encoding and Distilled Matting Loss" Paper and supplemental materials:https://openaccess.thecvf.com/content/CVPR2021/html/Gonzalez_PLADE-Net_Towards_Pixel-Level_Accuracy_for_Self-Supervised_Single-View_Depth_Estimation_With_CVPR_2021_paper.html
@InProceedings{Gonzalez_2021_CVPR,
author = {Gonzalez, Juan Luis and Kim, Munchurl},
title = {PLADE-Net: Towards Pixel-Level Accuracy for Self-Supervised Single-View Depth Estimation With Neural Positional Encoding and Distilled Matting Loss},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2021},
pages = {6851-6860}
}
New: Added files to train our PLADE-net on KITTI and KITTI + CityScapes
Coming soon: Code cleaning :)
Not for commercial use If wanted for commercial use contact [email protected]