Benchmarking Monocular Depth Estimation Models for VR Content Creation from a User Perspective

Exploring monocular images and videos in 3D in Virtual Reality (VR) requires reliable methods for estimating depth as this has not been captured in the original footage. There are monocular depth estimation methods that address this requirement by using neural network models to predict depth values for each pixel. However, as this is a quickly moving field and the state-of-the-art is constantly ev...