Monocular depth estimation (MDE), which is the task of using a single image to predict scene depths, has gained considerable interest, in large part owing to the popularity of applying deep learning methods to solve “computer vision ...

This work is unique in that it emphasizes cross domain performance and ability to generalize more so than performance on the training set.

This work focuses on using these feature-based sparse patterns to generate additional depth information by interpolating regions between clusters of samples that are in close proximity to each other.

... diffusion probabilistic models , Adv . Neural Inf . Process . Syst . 33 ( 2020 ) 6840-6851 . [ 248 ] S. Saxena , C ... monocular depth estimation , in : Advances in Neural Information Processing Systems , NeurIPS , 2023 . [ 249 ] P ...

Training a single network for high resolution and geometrically consistent monocular depth estimation is challenging due to varying scene complexities in the real world.