Methods › Computer Vision › Stereo Depth Estimation Models › Spatial Propagation

Surface Nomral-based Spatial Propagation

Spatial Propagation

16 papers tagged archive 2025-07-28

archive 2025-07-28 Description, source and code snippet are the archive's method entry.

Inspired by the spatial propagation mechanism utilized in the depth completion task \cite{NLSPN}, we introduce a normal incorporated non-local disparity propagation module in which we hub NDP to generate non-local affinities and offsets for spatial propagation at the disparity level. The motivation lies that the sampled pixels for edges and occluded regions are supposed to be selected. The propagation process aggregates disparities via plane affinity relations, which alleviates the phenomenon of disparity blurring at object edges due to frontal parallel windows. And the disparities in occluded areas are also optimized at the same time by being propagated from non-occluded areas where the predicted disparities are with high confidence.

Papers archive 2025-07-28

16 shown of 16, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.

Tasks archive 2025-07-28

18 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.

TaskPapers
Depth Completion8
Autonomous Driving4
16k1
3D Reconstruction1
3D geometry1
Computational Efficiency1
Denoising1
Depth Estimation1
Depth Prediction1
Disparity Estimation1
Earth Observation1
Image Generation1
Mamba1
Representation Learning1
State Space Models1
Stereo Matching1
Text to Image Generation1
Text-to-Image Generation1

Usage over time archive 2025-07-28

Papers per year tagged with Spatial Propagation: 2022 to 2025, peak 6 6 0 2022: 2 papers 2022 2023: 5 papers 2023 2024: 6 papers 2024 2025: 3 papers 2025
Papers per year the archive tags with this method, by the paper's archive date (16 dated). Bars are counts, not a trend claim.

Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).

Categories archive 2025-07-28

Stereo Depth Estimation Models

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