CVPR2021
PLADE-Net: Towards Pixel-Level Accuracy for Self-Supervised Single-View Depth Estimation With Neural Positional Encoding and Distilled Matting Loss
Juan Luis Gonzalez, Munchurl Kim
Abstract
Figure 1. Our proposed PLADE-Net with Neural Positional-Encoding and distilled matting loss estimates depths with pixel-level accuracy.