Browse State-of-the-Art › Omnnidirectional Stereo Depth Estimation
Omnnidirectional Stereo Depth Estimation
6 papers with code · 1 benchmark · 1 dataset archive 2025-07-28
Benchmarks archive 2025-07-28
1 leaderboard table shown for this task, 1 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.
| Dataset | Best model (first row in archive order) | Paper | Code | Syntology | Compare |
|---|---|---|---|---|---|
| Helvipad (5 rows) | DFI-OmniStereo | Boosting Omnidirectional Stereo Matching with a Pre-trained Depth... | code | — | Compare |
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
1 dataset 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.
Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
6 shown of 6 papers with code (6 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.
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23 Mar 2018 6 repositories listed Syntology ran 3 of 11 samples · 8 unverifiedThe 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.
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30 Mar 2025 1 repository listedOmnidirectional depth perception is essential for mobile robotics applications that require scene understanding across a full 360{\deg} field of view.
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27 Nov 2024 1 repository listedTo address this, we introduce necessary adaptations to stereo models, leading to improved performance.
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12 Mar 2023 1 repository listedThe proposed IGEV-Stereo builds a combined geometry encoding volume that encodes geometry and context information as well as local matching details, and iteratively indexes it to update the disparity map.
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30 Mar 2022 1 repository listed Syntology ran 12 of 17 samples · 5 unverified · 17 pointer-only (licence)In this paper, we propose a new deep learning-based method for estimating room layout given a pair of 360 panoramas.
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11 Nov 2019 1 repository listed Syntology ran 3 of 10 samples · 7 unverifiedRecently, end-to-end trainable deep neural networks have significantly improved stereo depth estimation for perspective images.
Syntology lines on 3 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.
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