Monocular Depth Estimation

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

25 leaderboard tables shown for this task, 24 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted. 10 shown of 25 until expanded.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

33 datasets whose archive record lists this task, ordered by the archive's paper count. 30 shown of 33 until expanded.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 430 papers with code (876 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.

• High Quality Monocular Depth Estimation via Transfer Learning
  31 Dec 2018 45 repositories listed Syntology ran 5 of 23 samples · 18 unverified · 3 pointer-only (licence)
  Accurate depth estimation from images is a fundamental task in many applications including scene understanding and reconstruction.
• DINOv2: Learning Robust Visual Features without Supervision
  14 Apr 2023 26 repositories listed Syntology ran 21 of 46 samples · 25 unverified · 12 pointer-only (licence)
  The recent breakthroughs in natural language processing for model pretraining on large quantities of data have opened the way for similar foundation models in computer vision.
• Deeper Depth Prediction with Fully Convolutional Residual Networks
  1 Jun 2016 18 repositories listed Syntology ran 0 of 5 samples · 5 unverified
  This paper addresses the problem of estimating the depth map of a scene given a single RGB image.
• Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer
  2 Jul 2019 16 repositories listed Syntology ran 6 of 17 samples · 11 unverified
  In particular, we propose a robust training objective that is invariant to changes in depth range and scale, advocate the use of principled multi-objective learning to combine data from different sources, and highlight…
• 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.
• Vision Transformers for Dense Prediction
  24 Mar 2021 15 repositories listed Syntology ran 54 of 116 samples · 62 unverified · 15 pointer-only (licence)
  We introduce dense vision transformers, an architecture that leverages vision transformers in place of convolutional networks as a backbone for dense prediction tasks.
• 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.
• From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation
  24 Jul 2019 14 repositories listed Syntology ran 5 of 15 samples · 10 unverified · 4 pointer-only (licence)
  We show that the proposed method outperforms the state-of-the-art works with significant margin evaluating on challenging benchmarks.
• AdaBins: Depth Estimation using Adaptive Bins
  28 Nov 2020 11 repositories listed
  We address the problem of estimating a high quality dense depth map from a single RGB input image.
• 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
• Depth Map Prediction from a Single Image using a Multi-Scale Deep Network
  9 Jun 2014 10 repositories listed Syntology ran 1 of 4 samples · 3 unverified
  Predicting depth is an essential component in understanding the 3D geometry of a scene.
• Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
  19 Jan 2024 7 repositories listed Syntology ran 3 of 11 samples · 8 unverified
  To this end, we scale up the dataset by designing a data engine to collect and automatically annotate large-scale unlabeled data (~62M), which significantly enlarges the data coverage and thus is able to reduce the…
• ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth
  23 Feb 2023 6 repositories listed Syntology ran 10 of 16 samples · 6 unverified · 1 pointer-only (licence)
  Finally, ZoeD-M12-NK is the first model that can jointly train on multiple datasets (NYU Depth v2 and KITTI) without a significant drop in performance and achieve unprecedented zero-shot generalization performance to…
• Index Network
  11 Aug 2019 6 repositories listed
  By viewing the indices as a function of the feature map, we introduce the concept of "learning to index", and present a novel index-guided encoder-decoder framework where indices are self-learned adaptively from data…
• 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…
• Deep Ordinal Regression Network for Monocular Depth Estimation
  6 Jun 2018 5 repositories listed Syntology ran 0 of 3 samples · 3 unverified
  These methods model depth estimation as a regression problem and train the regression networks by minimizing mean squared error, which suffers from slow convergence and unsatisfactory local solutions.
• Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation
  4 Dec 2023 4 repositories listed Syntology ran 14 of 26 samples · 12 unverified
  Monocular depth estimation is a fundamental computer vision task.
• Global-Local Path Networks for Monocular Depth Estimation with Vertical CutDepth
  19 Jan 2022 4 repositories listed Syntology ran 1 of 2 samples · 1 unverified
  Depth estimation from a single image is an important task that can be applied to various fields in computer vision, and has grown rapidly with the development of convolutional neural networks.
• S2R-DepthNet: Learning a Generalizable Depth-specific Structural Representation
  2 Apr 2021 4 repositories listed
  S2R-DepthNet consists of: a) a Structure Extraction (STE) module which extracts a domaininvariant structural representation from an image by disentangling the image into domain-invariant structure and domain-specific…
• Towards Better Generalization: Joint Depth-Pose Learning without PoseNet
  3 Apr 2020 4 repositories listed Syntology ran 2 of 3 samples · 1 unverified
  In this work, we tackle the essential problem of scale inconsistency for self-supervised joint depth-pose learning.
• 3D Packing for Self-Supervised Monocular Depth Estimation
  6 May 2019 4 repositories listed
  Although cameras are ubiquitous, robotic platforms typically rely on active sensors like LiDAR for direct 3D perception.
• 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.
• Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells
  25 Oct 2018 4 repositories listed
  While most results in this domain have been achieved on image classification and language modelling problems, here we concentrate on dense per-pixel tasks, in particular, semantic image segmentation using fully…
• Real-Time Joint Semantic Segmentation and Depth Estimation Using Asymmetric Annotations
  13 Sep 2018 4 repositories listed Syntology ran 6 of 6 samples · 0 unverified · 6 pointer-only (licence)
  Deployment of deep learning models in robotics as sensory information extractors can be a daunting task to handle, even using generic GPU cards.
• 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.
• Revisiting Single Image Depth Estimation: Toward Higher Resolution Maps with Accurate Object Boundaries
  23 Mar 2018 4 repositories listed
  Experimental results show that these two improvements enable to attain higher accuracy than the current state-of-the-arts, which is given by finer resolution reconstruction, for example, with small objects and object…
• Fast Robust Monocular Depth Estimation for Obstacle Detection with Fully Convolutional Networks
  21 Jul 2016 4 repositories listed
  We propose a novel appearance-based Object Detection system that is able to detect obstacles at very long range and at a very high speed (~300Hz), without making assumptions on the type of motion.
• Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture
  18 Nov 2014 4 repositories listed Syntology ran 0 of 3 samples · 3 unverified
  In this paper we address three different computer vision tasks using a single basic architecture: depth prediction, surface normal estimation, and semantic labeling.
• On the Robustness of Language Guidance for Low-Level Vision Tasks: Findings from Depth Estimation
  12 Apr 2024 3 repositories listed
  Recent advances in monocular depth estimation have been made by incorporating natural language as additional guidance.
• UniDepth: Universal Monocular Metric Depth Estimation
  27 Mar 2024 3 repositories listed Syntology ran 15 of 26 samples · 11 unverified · 25 pointer-only (licence)
  However, the remarkable accuracy of recent MMDE methods is confined to their training domains.

Syntology lines on 21 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.