Depth Estimation

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

14 leaderboard tables shown for this task, 14 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 14 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

77 datasets whose archive record lists this task, ordered by the archive's paper count. 30 shown of 77 until expanded.

Subtasks archive 2025-07-28

10 subtasks in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 1,029 papers with code (2,454 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.
• Efficient Attention: Attention with Linear Complexities
  4 Dec 2018 14 repositories listed Syntology ran 7 of 8 samples · 1 unverified · 1 pointer-only (licence)
  Dot-product attention has wide applications in computer vision and natural language processing.
• 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
• What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?
  15 Mar 2017 11 repositories listed Syntology ran 4 of 5 samples · 1 unverified · 4 pointer-only (licence)
  On the other hand, epistemic uncertainty accounts for uncertainty in the model -- uncertainty which can be explained away given enough data.
• 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…
• Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture
  19 Jan 2023 7 repositories listed Syntology ran 5 of 14 samples · 9 unverified · 13 pointer-only (licence)
  This paper demonstrates an approach for learning highly semantic image representations without relying on hand-crafted data-augmentations.
• Multi-Task Learning as Multi-Objective Optimization
  10 Oct 2018 7 repositories listed Syntology ran 2 of 19 samples · 17 unverified
  These algorithms are not directly applicable to large-scale learning problems since they scale poorly with the dimensionality of the gradients and the number of tasks.
• 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…
• EPP-MVSNet: Epipolar-Assembling Based Depth Prediction for Multi-View Stereo
  1 Jan 2021 6 repositories listed
  As a result, we achieve promising results on all datasets and the highest F-Score on the online TNT intermediate benchmark.
• 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…
• Pyramid Stereo Matching Network
  23 Mar 2018 6 repositories listed Syntology ran 3 of 11 samples · 8 unverified
  The spatial pyramid pooling module takes advantage of the capacity of global context information by aggregating context in different scales and locations to form a cost volume.
• Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image
  21 Sep 2017 6 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  We consider the problem of dense depth prediction from a sparse set of depth measurements and a single RGB image.
• 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.
• Deep Depth From Focus
  4 Apr 2017 5 repositories listed
  Depth from focus (DFF) is one of the classical ill-posed inverse problems in computer vision.
• 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.
• U-HRNet: Delving into Improving Semantic Representation of High Resolution Network for Dense Prediction
  13 Oct 2022 4 repositories listed
  Therefore, we designed a U-shaped High-Resolution Network (U-HRNet), which adds more stages after the feature map with strongest semantic representation and relaxes the constraint in HRNet that all resolutions need to…
• Expediting Large-Scale Vision Transformer for Dense Prediction without Fine-tuning
  3 Oct 2022 4 repositories listed Syntology ran 4 of 7 samples · 3 unverified
  Vision transformers have recently achieved competitive results across various vision tasks but still suffer from heavy computation costs when processing a large number of tokens.
• 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.
• MobileStereoNet: Towards Lightweight Deep Networks for Stereo Matching
  22 Aug 2021 4 repositories listed Syntology ran 1 of 8 samples · 7 unverified
  Depending on the dimension of cost volume, we design a 2D and a 3D model with encoder-decoders built from 2D and 3D convolutions, respectively.
• 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.

Syntology lines on 24 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.