BriefGPT.xyz
Oct, 2023
AugUndo:无监督深度完善的增强扩展
AugUndo: Scaling Up Augmentations for Unsupervised Depth Completion
HTML
PDF
Yangchao Wu, Tian Yu Liu, Hyoungseob Park, Stefano Soatto, Dong Lao...
TL;DR
通过反向几何变换来进行无监督深度完成,解决了数据增强对图像重建质量的影响问题,从而实现了性能的提升。
Abstract
unsupervised depth completion
methods are trained by minimizing sparse depth and image reconstruction error.
block artifacts
from resampling, intensity saturation, and occlusions are amongst the many undesirable
→