Browse State-of-the-Art › Monocular Reconstruction
Monocular Reconstruction
11 papers with code · 0 benchmarks · 0 datasets archive 2025-07-28
Benchmarks archive 2025-07-28
No benchmark for this task in the archive.
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
11 shown of 11 papers with code (34 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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6 Mar 2018 4 repositories listedThe proposed approach significantly improves the state-of-the-art for monocular object localization on arbitrarily-shaped roads.
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30 Apr 2020 3 repositories listed Syntology ran 0 of 7 samples · 7 unverified · 7 pointer-only (licence)We present an algorithm for reconstructing dense, geometrically consistent depth for all pixels in a monocular video.
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29 Jan 2024 2 repositories listedIn the realm of robot-assisted minimally invasive surgery, dynamic scene reconstruction can significantly enhance downstream tasks and improve surgical outcomes.
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10 May 2023 2 repositories listed Syntology ran 1 of 1 samples · 0 unverifiedBuilding animatable 3D models is challenging due to the need for 3D scans, laborious registration, and manual rigging, which are difficult to scale to arbitrary categories.
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10 Apr 2023 2 repositories listedTherefore, we present CherryPicker, an automatic pipeline that reconstructs photo-metric point clouds of trees, performs semantic segmentation and extracts their topological structure in form of a skeleton.
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2 Aug 2022 2 repositories listedIt is likely that many papers were not only optimized for particular datasets, but also for errors in the data and evaluation criteria.
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20 Dec 2023 1 repository listed Syntology ran 5 of 8 samples · 3 unverifiedSplatter Image is based on Gaussian Splatting, which allows fast and high-quality reconstruction of 3D scenes from multiple images.
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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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16 Aug 2019 1 repository listedThis work proposes novel hyperparameter-free losses for single view 3D reconstruction with morphable models (3DMM).
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21 May 2019 1 repository listedWe demonstrate our approach on the challenging NYUv2-Depth dataset, and show that our method outperforms the state-of-the-art along occluding contours, while performing on par with the best recent methods for the rest…
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11 Apr 2017 1 repository listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)Given the recent advances in depth prediction from Convolutional Neural Networks (CNNs), this paper investigates how predicted depth maps from a deep neural network can be deployed for accurate and dense monocular…
Syntology lines on 5 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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