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

摘要

Figure 1. Our proposed PLADE-Net with Neural Positional-Encoding and distilled matting loss estimates depths with pixel-level accuracy.