Monocular depth estimation using deep learning: A review

A Masoumian, HA Rashwan, J Cristiano, MS Asif… - Sensors, 2022 - mdpi.com
In current decades, significant advancements in robotics engineering and autonomous
vehicles have improved the requirement for precise depth measurements. Depth estimation …

Guided depth map super-resolution: A survey

Z Zhong, X Liu, J Jiang, D Zhao, X Ji - ACM Computing Surveys, 2023 - dl.acm.org
Guided depth map super-resolution (GDSR), which aims to reconstruct a high-resolution
depth map from a low-resolution observation with the help of a paired high-resolution color …

Adding conditional control to text-to-image diffusion models

L Zhang, A Rao, M Agrawala - Proceedings of the IEEE/CVF …, 2023 - openaccess.thecvf.com
We present ControlNet, a neural network architecture to add spatial conditioning controls to
large, pretrained text-to-image diffusion models. ControlNet locks the production-ready large …

Depth anything: Unleashing the power of large-scale unlabeled data

L Yang, B Kang, Z Huang, X Xu… - Proceedings of the …, 2024 - openaccess.thecvf.com
Abstract This work presents Depth Anything a highly practical solution for robust monocular
depth estimation. Without pursuing novel technical modules we aim to build a simple yet …

Zoedepth: Zero-shot transfer by combining relative and metric depth

SF Bhat, R Birkl, D Wofk, P Wonka, M Müller - arXiv preprint arXiv …, 2023 - arxiv.org
This paper tackles the problem of depth estimation from a single image. Existing work either
focuses on generalization performance disregarding metric scale, ie relative depth …

Repurposing diffusion-based image generators for monocular depth estimation

B Ke, A Obukhov, S Huang, N Metzger… - Proceedings of the …, 2024 - openaccess.thecvf.com
Monocular depth estimation is a fundamental computer vision task. Recovering 3D depth
from a single image is geometrically ill-posed and requires scene understanding so it is not …

Pretraining is all you need for image-to-image translation

T Wang, T Zhang, B Zhang, H Ouyang, D Chen… - arXiv preprint arXiv …, 2022 - arxiv.org
We propose to use pretraining to boost general image-to-image translation. Prior image-to-
image translation methods usually need dedicated architectural design and train individual …

Metric3d: Towards zero-shot metric 3d prediction from a single image

W Yin, C Zhang, H Chen, Z Cai, G Yu… - Proceedings of the …, 2023 - openaccess.thecvf.com
Reconstructing accurate 3D scenes from images is a long-standing vision task. Due to the ill-
posedness of the single-image reconstruction problem, most well-established methods are …

P3depth: Monocular depth estimation with a piecewise planarity prior

V Patil, C Sakaridis, A Liniger… - Proceedings of the …, 2022 - openaccess.thecvf.com
Monocular depth estimation is vital for scene understanding and downstream tasks. We
focus on the supervised setup, in which ground-truth depth is available only at training time …

Towards robust monocular depth estimation: Mixing datasets for zero-shot cross-dataset transfer

R Ranftl, K Lasinger, D Hafner… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
The success of monocular depth estimation relies on large and diverse training sets. Due to
the challenges associated with acquiring dense ground-truth depth across different …