Yangchao Wu*

AugUndo: Scaling Up Augmentations for Monocular Depth Completion and Estimation

"Unsupervised depth completion and estimation methods are trained by minimizing reconstruction error. Block artifacts from resampling, intensity saturation, and occlusions are amongst the many undesirable by-products of common data augmentation schemes that affect image reconstruction quality, and t…