Unsupervised Monocular Depth Estimation

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

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Datasets archive 2025-07-28

5 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

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Most implemented papers archive 2025-07-28

30 shown of 41 papers with code (59 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Unsupervised Monocular Depth Estimation with Left-Right Consistency
  13 Sep 2016 16 repositories listed Syntology ran 3 of 12 samples · 9 unverified · 5 pointer-only (licence)
  Learning based methods have shown very promising results for the task of depth estimation in single images.
• Digging Into Self-Supervised Monocular Depth Estimation
  4 Jun 2018 15 repositories listed Syntology ran 17 of 24 samples · 7 unverified · 6 pointer-only (licence)
  Per-pixel ground-truth depth data is challenging to acquire at scale.
• Depth Prediction Without the Sensors: Leveraging Structure for Unsupervised Learning from Monocular Videos
  15 Nov 2018 11 repositories listed Syntology ran 1 of 3 samples · 2 unverified · 3 pointer-only (licence)
  Models and examples built with TensorFlow
• Unsupervised Monocular Depth Learning in Dynamic Scenes
  30 Oct 2020 5 repositories listed Syntology ran 0 of 14 samples · 14 unverified
  We present a method for jointly training the estimation of depth, ego-motion, and a dense 3D translation field of objects relative to the scene, with monocular photometric consistency being the sole source of…
• Depth from Videos in the Wild: Unsupervised Monocular Depth Learning from Unknown Cameras
  10 Apr 2019 4 repositories listed Syntology ran 1 of 4 samples · 3 unverified
  We present a novel method for simultaneous learning of depth, egomotion, object motion, and camera intrinsics from monocular videos, using only consistency across neighboring video frames as supervision signal.
• Towards real-time unsupervised monocular depth estimation on CPU
  29 Jun 2018 4 repositories listed
  To tackle this issue, in this paper we propose a novel architecture capable to quickly infer an accurate depth map on a CPU, even of an embedded system, using a pyramid of features extracted from a single input image.
• A General and Adaptive Robust Loss Function
  11 Jan 2017 3 repositories listed Syntology ran 3 of 11 samples · 8 unverified
  We present a generalization of the Cauchy/Lorentzian, Geman-McClure, Welsch/Leclerc, generalized Charbonnier, Charbonnier/pseudo-Huber/L1-L2, and L2 loss functions.
• EC-Depth: Exploring the consistency of self-supervised monocular depth estimation in challenging scenes
  12 Oct 2023 2 repositories listed
  Self-supervised monocular depth estimation holds significant importance in the fields of autonomous driving and robotics.
• SC-DepthV3: Robust Self-supervised Monocular Depth Estimation for Dynamic Scenes
  7 Nov 2022 2 repositories listed
  Self-supervised monocular depth estimation has shown impressive results in static scenes.
• ProDepth: Boosting Self-Supervised Multi-Frame Monocular Depth with Probabilistic Fusion
  12 Jul 2024 1 repository listed
  Self-supervised multi-frame monocular depth estimation relies on the geometric consistency between successive frames under the assumption of a static scene.
• SCIPaD: Incorporating Spatial Clues into Unsupervised Pose-Depth Joint Learning
  7 Jul 2024 1 repository listed
  Specifically, a confidence-aware feature flow estimator is proposed to acquire 2D feature positional translations and their associated confidence levels.
• Back to the Color: Learning Depth to Specific Color Transformation for Unsupervised Depth Estimation
  11 Jun 2024 1 repository listed
  Additionally, we introduce the Syn-Real CutMix method for joint training with both real-world unsupervised and synthetic supervised depth samples, enhancing monocular depth estimation performance in real-world scenes.
• SPIdepth: Strengthened Pose Information for Self-supervised Monocular Depth Estimation
  18 Apr 2024 1 repository listed Syntology ran 13 of 14 samples · 1 unverified
  Our approach represents a significant leap forward in self-supervised monocular depth estimation, underscoring the importance of strengthening pose information for advancing scene understanding in real-world…
• Digging into contrastive learning for robust depth estimation with diffusion models
  15 Apr 2024 1 repository listed Syntology ran 1 of 3 samples · 2 unverified · 1 pointer-only (licence)
  In this paper, we propose a novel robust depth estimation method called D4RD, featuring a custom contrastive learning mode tailored for diffusion models to mitigate performance degradation in complex environments.
• Deeper into Self-Supervised Monocular Indoor Depth Estimation
  3 Dec 2023 1 repository listed
  One is the large areas of low-texture regions and the other is the complex ego-motion on indoor training datasets.
• MonoProb: Self-Supervised Monocular Depth Estimation with Interpretable Uncertainty
  10 Nov 2023 1 repository listed
  Self-supervised monocular depth estimation methods aim to be used in critical applications such as autonomous vehicles for environment analysis.
• Continual Learning of Unsupervised Monocular Depth from Videos
  4 Nov 2023 1 repository listed
  Spatial scene understanding, including monocular depth estimation, is an important problem in various applications, such as robotics and autonomous driving.
• WeatherDepth: Curriculum Contrastive Learning for Self-Supervised Depth Estimation under Adverse Weather Conditions
  9 Oct 2023 1 repository listed Syntology ran 0 of 3 samples · 3 unverified · 1 pointer-only (licence)
  In this paper, we propose WeatherDepth, a self-supervised robust depth estimation model with curriculum contrastive learning, to tackle performance degradation in complex weather conditions.
• InfraParis: A multi-modal and multi-task autonomous driving dataset
  27 Sep 2023 1 repository listed
  Current deep neural networks (DNNs) for autonomous driving computer vision are typically trained on specific datasets that only involve a single type of data and urban scenes.
• DS-Depth: Dynamic and Static Depth Estimation via a Fusion Cost Volume
  14 Aug 2023 1 repository listed
  Nevertheless, the dynamic cost volume inevitably generates extra occlusions and noise, thus we alleviate this by designing a fusion module that makes static and dynamic cost volumes compensate for each other.
• Self-Supervised Monocular Depth Estimation by Direction-aware Cumulative Convolution Network
  10 Aug 2023 1 repository listed
  To bridge this gap, we propose a new Direction-aware Cumulative Convolution Network (DaCCN), which improves the depth feature representation in two aspects.
• Self-supervised Monocular Depth Estimation: Let's Talk About The Weather
  17 Jul 2023 1 repository listed
  For these architectures to be effective in real-world applications, we must create models that can generalise to all weather conditions, times of the day and image qualities.
• Pose Constraints for Consistent Self-supervised Monocular Depth and Ego-motion
  18 Apr 2023 1 repository listed
  Self-supervised monocular depth estimation approaches suffer not only from scale ambiguity but also infer temporally inconsistent depth maps w.
• RM-Depth: Unsupervised Learning of Recurrent Monocular Depth in Dynamic Scenes
  8 Mar 2023 1 repository listed
  In this paper, an unsupervised learning framework is proposed to jointly predict monocular depth and complete 3D motion including the motions of moving objects and camera.
• Lite-Mono: A Lightweight CNN and Transformer Architecture for Self-Supervised Monocular Depth Estimation
  23 Nov 2022 1 repository listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  Self-supervised monocular depth estimation that does not require ground truth for training has attracted attention in recent years.
• Frequency-Aware Self-Supervised Monocular Depth Estimation
  11 Oct 2022 1 repository listed
  We present two versatile methods to generally enhance self-supervised monocular depth estimation (MDE) models.
• Self-Supervised Monocular Depth Estimation: Solving the Edge-Fattening Problem
  2 Oct 2022 1 repository listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  In this paper, we redesign the patch-based triplet loss in MDE to alleviate the ubiquitous edge-fattening issue.
• MonoViT: Self-Supervised Monocular Depth Estimation with a Vision Transformer
  6 Aug 2022 1 repository listed Syntology ran 6 of 6 samples · 0 unverified
  Self-supervised monocular depth estimation is an attractive solution that does not require hard-to-source depth labels for training.
• TransDSSL: Transformer based Depth Estimation via Self-Supervised Learning
  5 Aug 2022 1 repository listed
  Recently, transformers have been widely adopted for various computer vision tasks and show promising results due to their ability to encode long-range spatial dependencies in an image effectively.
• Towards Scale-Aware, Robust, and Generalizable Unsupervised Monocular Depth Estimation by Integrating IMU Motion Dynamics
  11 Jul 2022 1 repository listed
  Unsupervised monocular depth and ego-motion estimation has drawn extensive research attention in recent years.

Syntology lines on 12 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.