Depth And Camera Motion

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

1 dataset whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

1 subtask in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

14 shown of 14 papers with code (27 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.

• 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 Scale-consistent Depth and Ego-motion Learning from Monocular Video
  28 Aug 2019 2 repositories listed Syntology ran 2 of 3 samples · 1 unverified · 3 pointer-only (licence)
  To the best of our knowledge, this is the first work to show that deep networks trained using unlabelled monocular videos can predict globally scale-consistent camera trajectories over a long video sequence.
• Unsupervised Learning of Depth and Ego-Motion from Monocular Video Using 3D Geometric Constraints
  15 Feb 2018 2 repositories listed
  We present a novel approach for unsupervised learning of depth and ego-motion from monocular video.
• Unsupervised Learning of Depth and Ego-Motion from Video
  25 Apr 2017 2 repositories listed
  We present an unsupervised learning framework for the task of monocular depth and camera motion estimation from unstructured video sequences.
• DeMoN: Depth and Motion Network for Learning Monocular Stereo
  7 Dec 2016 2 repositories listed Syntology ran 0 of 2 samples · 2 unverified
  In this paper we formulate structure from motion as a learning problem.
• TAPIP3D: Tracking Any Point in Persistent 3D Geometry
  20 Apr 2025 1 repository listed Syntology ran 2 of 8 samples · 6 unverified
  We introduce TAPIP3D, a novel approach for long-term 3D point tracking in monocular RGB and RGB-D videos.
• DepthLab: Real-Time 3D Interaction With Depth Maps for Mobile Augmented Reality
  22 Oct 2020 1 repository listed
  Slow adoption of depth information in the UX layer may be due to the complexity of processing depth data to simply render a mesh or detect interaction based on changes in the depth map.
• Unsupervised Learning of Depth, Optical Flow and Pose with Occlusion from 3D Geometry
  2 Mar 2020 1 repository listed
  In the occluded region, as depth and camera motion can provide more reliable motion estimation, they can be used to instruct unsupervised learning of optical flow.
• Improving Self-Supervised Single View Depth Estimation by Masking Occlusion
  29 Aug 2019 1 repository listed
  In this work we introduce occlusion mask, a mask that during training can be used to specifically ignore regions that cannot be reconstructed due to occlusions.
• Sparse Representations for Object and Ego-motion Estimation in Dynamic Scenes
  9 Mar 2019 1 repository listed
  Dynamic scenes that contain both object motion and egomotion are a challenge for monocular visual odometry (VO).
• DF-Net: Unsupervised Joint Learning of Depth and Flow using Cross-Task Consistency
  5 Sep 2018 1 repository listed Syntology ran 0 of 1 samples · 1 unverified
  We present an unsupervised learning framework for simultaneously training single-view depth prediction and optical flow estimation models using unlabeled video sequences.
• BA-Net: Dense Bundle Adjustment Network
  13 Jun 2018 1 repository listed
  The network first generates several basis depth maps according to the input image and optimizes the final depth as a linear combination of these basis depth maps via feature-metric BA.
• Unsupervised Learning of Monocular Depth Estimation and Visual Odometry with Deep Feature Reconstruction
  11 Mar 2018 1 repository listed
  Despite learning based methods showing promising results in single view depth estimation and visual odometry, most existing approaches treat the tasks in a supervised manner.
• Learning Depth from Monocular Videos using Direct Methods
  1 Dec 2017 1 repository listed Syntology ran 1 of 1 samples · 0 unverified
  The ability to predict depth from a single image - using recent advances in CNNs - is of increasing interest to the vision community.

Syntology lines on 6 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.