NTIRE 2024 challenge on HR depth from images of specular and transparent surfaces
This paper reports on the NTIRE 2024 challenge on HR Depth From images of Specular and
Transparent surfaces held in conjunction with the New Trends in Image Restoration and …
Transparent surfaces held in conjunction with the New Trends in Image Restoration and …
Diffusion Models for Monocular Depth Estimation: Overcoming Challenging Conditions
We present a novel approach designed to address the complexities posed by challenging,
out-of-distribution data in the single-image depth estimation task. Starting with images that …
out-of-distribution data in the single-image depth estimation task. Starting with images that …
NimbleD: Enhancing Self-supervised Monocular Depth Estimation with Pseudo-labels and Large-scale Video Pre-training
A Luginov, M Shahzad - arXiv preprint arXiv:2408.14177, 2024 - arxiv.org
We introduce NimbleD, an efficient self-supervised monocular depth estimation learning
framework that incorporates supervision from pseudo-labels generated by a large vision …
framework that incorporates supervision from pseudo-labels generated by a large vision …