Depth Prediction

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

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

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

Subtasks archive 2025-07-28

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

Most implemented papers archive 2025-07-28

30 shown of 203 papers with code (422 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.

• 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.
• 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.
• 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.
• 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.
• 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.
• 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…
• 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…
• 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 Ken Burns Effect from a Single Image
  12 Sep 2019 4 repositories listed Syntology ran 0 of 2 samples · 2 unverified
  According to this depth estimate, our framework then maps the input image to a point cloud and synthesizes the resulting video frames by rendering the point cloud from the corresponding camera positions.
• 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…
• 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.
• Virtual Normal: Enforcing Geometric Constraints for Accurate and Robust Depth Prediction
  7 Mar 2021 3 repositories listed
  In this work, we show the importance of the high-order 3D geometric constraints for depth prediction.
• Enforcing geometric constraints of virtual normal for depth prediction
  29 Jul 2019 3 repositories listed
  Monocular depth prediction plays a crucial role in understanding 3D scene geometry.
• Multi-View Silhouette and Depth Decomposition for High Resolution 3D Object Representation
  27 Feb 2018 3 repositories listed
  We consider the problem of scaling deep generative shape models to high-resolution.
• Plane2Depth: Hierarchical Adaptive Plane Guidance for Monocular Depth Estimation
  4 Sep 2024 2 repositories listed
  Specifically, in the proposed plane guided depth generator (PGDG), we design a set of plane queries as prototypes to softly model planes in the scene and predict per-pixel plane coefficients.
• FeatUp: A Model-Agnostic Framework for Features at Any Resolution
  15 Mar 2024 2 repositories listed Syntology ran 4 of 5 samples · 1 unverified
  Deep features are a cornerstone of computer vision research, capturing image semantics and enabling the community to solve downstream tasks even in the zero- or few-shot regime.
• A Concise but High-performing Network for Image Guided Depth Completion in Autonomous Driving
  29 Jan 2024 2 repositories listed
  Depth completion is a crucial task in autonomous driving, aiming to convert a sparse depth map into a dense depth prediction.
• 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.
• GEDepth: Ground Embedding for Monocular Depth Estimation
  18 Sep 2023 2 repositories listed
  Monocular depth estimation is an ill-posed problem as the same 2D image can be projected from infinite 3D scenes.
• DualRefine: Self-Supervised Depth and Pose Estimation Through Iterative Epipolar Sampling and Refinement Toward Equilibrium
  7 Apr 2023 2 repositories listed Syntology ran 9 of 12 samples · 3 unverified · 12 pointer-only (licence)
  Our novel update pipeline uses a deep equilibrium model framework to iteratively refine depth estimates and a hidden state of feature maps by computing local matching costs based on epipolar geometry.
• VA-DepthNet: A Variational Approach to Single Image Depth Prediction
  13 Feb 2023 2 repositories listed Syntology ran 3 of 5 samples · 2 unverified
  While state-of-the-art deep neural network methods for SIDP learn the scene depth from images in a supervised setting, they often overlook the invaluable invariances and priors in the rigid scene space, such as the…
• Self-distilled Feature Aggregation for Self-supervised Monocular Depth Estimation
  15 Sep 2022 2 repositories listed
  Addressing this problem, we propose the Self-Distilled Feature Aggregation (SDFA) module for simultaneously aggregating a pair of low-scale and high-scale features and maintaining their contextual consistency.
• Extracting Triangular 3D Models, Materials, and Lighting From Images
  24 Nov 2021 2 repositories listed
  We present an efficient method for joint optimization of topology, materials and lighting from multi-view image observations.
• Advancing Self-supervised Monocular Depth Learning with Sparse LiDAR
  20 Sep 2021 2 repositories listed Syntology ran 4 of 15 samples · 11 unverified
  Unlike the existing methods that use sparse LiDAR mainly in a manner of time-consuming iterative post-processing, our model fuses monocular image features and sparse LiDAR features to predict initial depth maps.
• GeoNet++: Iterative Geometric Neural Network with Edge-Aware Refinement for Joint Depth and Surface Normal Estimation
  13 Dec 2020 2 repositories listed
  Note that GeoNet++ is generic and can be used in other depth/normal prediction frameworks to improve the quality of 3D reconstruction and pixel-wise accuracy of depth and surface normals.
• DeepVideoMVS: Multi-View Stereo on Video with Recurrent Spatio-Temporal Fusion
  3 Dec 2020 2 repositories listed
  We propose an online multi-view depth prediction approach on posed video streams, where the scene geometry information computed in the previous time steps is propagated to the current time step in an efficient and…
• Monocular Depth Prediction through Continuous 3D Loss
  21 Mar 2020 2 repositories listed
  In contrast to the current point-to-point loss evaluation approach, the proposed 3D loss treats point clouds as continuous objects; therefore, it compensates for the lack of dense ground truth depth due to LIDAR's…

Syntology lines on 14 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.