Point Clouds

Benchmarks archive 2025-07-28

2 leaderboard tables shown for this task, 2 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.

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

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

Subtasks archive 2025-07-28

3 subtasks in the archive's task tree.

Most implemented papers archive 2025-07-28

19 shown of 19 papers with code (22 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.

• 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.
• MVSNet: Depth Inference for Unstructured Multi-view Stereo
  7 Apr 2018 5 repositories listed
  We present an end-to-end deep learning architecture for depth map inference from multi-view images.
• Cascade Cost Volume for High-Resolution Multi-View Stereo and Stereo Matching
  13 Dec 2019 4 repositories listed Syntology ran 6 of 14 samples · 8 unverified
  The deep multi-view stereo (MVS) and stereo matching approaches generally construct 3D cost volumes to regularize and regress the output depth or disparity.
• Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization
  29 Dec 2024 1 repository listed
  The reconstruction of low-textured areas is a prominent research focus in multi-view stereo (MVS).
• MVSFormer++: Revealing the Devil in Transformer's Details for Multi-View Stereo
  22 Jan 2024 1 repository listed Syntology ran 15 of 19 samples · 4 unverified
  Recent advancements in learning-based Multi-View Stereo (MVS) methods have prominently featured transformer-based models with attention mechanisms.
• CT-MVSNet: Efficient Multi-View Stereo with Cross-scale Transformer
  14 Dec 2023 1 repository listed
  Recent deep multi-view stereo (MVS) methods have widely incorporated transformers into cascade network for high-resolution depth estimation, achieving impressive results.
• GC-MVSNet: Multi-View, Multi-Scale, Geometrically-Consistent Multi-View Stereo
  30 Oct 2023 1 repository listed
  Traditional multi-view stereo (MVS) methods rely heavily on photometric and geometric consistency constraints, but newer machine learning-based MVS methods check geometric consistency across multiple source views only…
• When Epipolar Constraint Meets Non-local Operators in Multi-View Stereo
  29 Sep 2023 1 repository listed Syntology ran 5 of 13 samples · 8 unverified
  This constraint reduces the 2D search space into the epipolar line in stereo matching.
• Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo
  1 Jan 2023 1 repository listed
  To detect more anchor pixels to ensure better adaptive patch deformation, we propose to evaluate the matching ambiguity of a certain pixel by checking the convergence of the estimated depth as optimization proceeds.
• GeoMVSNet: Learning Multi-View Stereo With Geometry Perception
  1 Jan 2023 1 repository listed
  To intensify the full-scene geometry perception of our model, we present the depth distribution similarity loss based on the Gaussian-Mixture Model assumption.
• MVSFormer: Multi-View Stereo by Learning Robust Image Features and Temperature-based Depth
  4 Aug 2022 1 repository listed Syntology ran 12 of 15 samples · 3 unverified
  In this paper, we propose a pre-trained ViT enhanced MVS network called MVSFormer, which can learn more reliable feature representations benefited by informative priors from ViT.
• Curvature-guided dynamic scale networks for Multi-view Stereo
  11 Dec 2021 1 repository listed Syntology ran 16 of 18 samples · 2 unverified · 18 pointer-only (licence)
  As a result, the method can process higher resolution inputs within faster run-time and lower memory than other MVS methods.
• Generalized Binary Search Network for Highly-Efficient Multi-View Stereo
  4 Dec 2021 1 repository listed
  The new formulation makes our method only sample a very small number of depth hypotheses in each step, which is highly memory efficient, and also greatly facilitates quick training convergence.
• AA-RMVSNet: Adaptive Aggregation Recurrent Multi-view Stereo Network
  9 Aug 2021 1 repository listed Syntology ran 4 of 20 samples · 16 unverified
  To overcome the difficulty of varying occlusion in complex scenes, we propose an inter-view cost volume aggregation module for adaptive pixel-wise view aggregation, which is able to preserve better-matched pairs among…
• PatchmatchNet: Learned Multi-View Patchmatch Stereo
  2 Dec 2020 1 repository listed
  We present PatchmatchNet, a novel and learnable cascade formulation of Patchmatch for high-resolution multi-view stereo.
• Visibility-aware Multi-view Stereo Network
  18 Aug 2020 1 repository listed Syntology ran 3 of 14 samples · 11 unverified
  As such, the adverse influence of occluded pixels is suppressed in the cost fusion.
• Cost Volume Pyramid Based Depth Inference for Multi-View Stereo
  18 Dec 2019 1 repository listed
  We propose a cost volume-based neural network for depth inference from multi-view images.
• Deep Stereo using Adaptive Thin Volume Representation with Uncertainty Awareness
  27 Nov 2019 1 repository listed Syntology ran 0 of 1 samples · 1 unverified
  In contrast, we propose adaptive thin volumes (ATVs); in an ATV, the depth hypothesis of each plane is spatially varying, which adapts to the uncertainties of previous per-pixel depth predictions.
• Structure-From-Motion Revisited
  1 Jun 2016 1 repository listed
  Incremental Structure-from-Motion is a prevalent strategy for 3D reconstruction from unordered image collections.

Syntology lines on 8 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.