Browse State-of-the-Art › RGB-D Reconstruction
RGB-D Reconstruction
8 papers with code · 0 benchmarks · 0 datasets archive 2025-07-28
Benchmarks archive 2025-07-28
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Libraries
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Datasets archive 2025-07-28
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Subtasks archive 2025-07-28
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Most implemented papers archive 2025-07-28
8 shown of 8 papers with code (14 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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28 Nov 2023 1 repository listedBased on the RGB-D input stream, novel views are rendered by projecting neural features into the target view via a densely fused depth map and aggregating the features in image-space to a target feature map.
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21 Oct 2022 1 repository listedFine-detailed reconstructions are in high demand in many applications.
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30 Jun 2022 1 repository listed Syntology ran 1 of 1 samples · 0 unverifiedWe propose Neural-DynamicReconstruction (NDR), a template-free method to recover high-fidelity geometry and motions of a dynamic scene from a monocular RGB-D camera.
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6 Jul 2021 1 repository listed Syntology ran 3 of 4 samples · 1 unverified · 2 pointer-only (licence)Crucially, SFM also produces sparse 3D points that can be used as "free" depth supervision during training: we add a loss to encourage the distribution of a ray's terminating depth matches a given 3D keypoint,…
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1 Jun 2020 1 repository listedApplying data-driven approaches to non-rigid 3D reconstruction has been difficult, which we believe can be attributed to the lack of a large-scale training corpus.
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13 Mar 2020 1 repository listedOnline semantic 3D segmentation in company with real-time RGB-D reconstruction poses special challenges such as how to perform 3D convolution directly over the progressively fused 3D geometric data, and how to smartly…
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9 Dec 2019 1 repository listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)Applying data-driven approaches to non-rigid 3D reconstruction has been difficult, which we believe can be attributed to the lack of a large-scale training corpus.
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21 May 2019 1 repository listedWe propose a novel approach to reconstruct RGB-D indoor scene based on plane primitives.
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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