Browse State-of-the-Art › Object Reconstruction
Object Reconstruction
103 papers with code · 0 benchmarks · 2 datasets archive 2025-07-28
Benchmarks archive 2025-07-28
No benchmark for this task in the archive.
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
1 subtask in the archive's task tree.
Most implemented papers archive 2025-07-28
30 shown of 103 papers with code (291 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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2 Apr 2016 13 repositories listedInspired by the recent success of methods that employ shape priors to achieve robust 3D reconstructions, we propose a novel recurrent neural network architecture that we call the 3D Recurrent Reconstruction Neural…
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10 Aug 2020 4 repositories listedSpecifically, our generative model is able to synthesize high-quality human grasps, given only on a 3D object point cloud.
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2 Dec 2016 4 repositories listed Syntology ran 2 of 6 samples · 4 unverified · 2 pointer-only (licence)Our final solution is a conditional shape sampler, capable of predicting multiple plausible 3D point clouds from an input image.
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22 Jun 2020 3 repositories listed Syntology ran 2 of 6 samples · 4 unverifiedA multi-scale context-aware fusion module is then introduced to adaptively select high-quality reconstructions for different parts from all coarse 3D volumes to obtain a fused 3D volume.
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27 Feb 2018 3 repositories listedWe consider the problem of scaling deep generative shape models to high-resolution.
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21 Jun 2017 3 repositories listedConventional methods of 3D object generative modeling learn volumetric predictions using deep networks with 3D convolutional operations, which are direct analogies to classical 2D ones.
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3 Apr 2017 3 repositories listedRecent advances have enabled 3d object reconstruction approaches using a single off-the-shelf RGB-D camera.
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1 Dec 2024 2 repositories listedGenerating 3D models from multi-view 2D RGB images has gained significant attention, extending the capabilities of technologies like Virtual Reality, Robotic Vision, and human-machine interaction.
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25 Mar 2024 2 repositories listed Syntology ran 11 of 14 samples · 3 unverified · 14 pointer-only (licence)A holistic 3Dunderstanding of such interactions from egocentric views is important for tasks in robotics, AR/VR, action recognition and motion generation.
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15 Feb 2024 2 repositories listed Syntology ran 7 of 11 samples · 4 unverified · 11 pointer-only (licence)Then we construct a Gaussian repair model based on diffusion models to supplement the omitted object information, where Gaussians are further refined.
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26 Jul 2022 2 repositories listedWe show that such aligned SDFs better focus on reconstructing shape details and improve reconstruction accuracy both for hands and objects.
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27 Apr 2020 2 repositories listed Syntology ran 0 of 13 samples · 13 unverifiedFurthermore, we adapt our model to address the harder task of reconstructing multiple objects from a single image.
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1 Feb 2018 2 repositories listedUnlike existing work which typically requires multiple views of the same object or class labels to recover the full 3D geometry, the proposed 3D-RecGAN++ only takes the voxel grid representation of a depth view of the…
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26 Aug 2017 2 repositories listedIn this paper, we propose a novel 3D-RecGAN approach, which reconstructs the complete 3D structure of a given object from a single arbitrary depth view using generative adversarial networks.
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1 Dec 2016 2 repositories listedWe demonstrate the ability of the model in generating 3D volume from a single 2D image with three sets of experiments: (1) learning from single-class objects; (2) learning from multi-class objects and (3) testing on…
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9 Jun 2025 1 repository listed3D scene reconstruction from 2D images is one of the most important tasks in computer graphics.
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31 Mar 2025 1 repository listedThis algorithm works for non-overlapping FoVs, as well as arbitrary calibration targets, and does not require any external sensing devices.
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25 Mar 2025 1 repository listedNovel view synthesis has demonstrated impressive progress recently, with 3D Gaussian splatting (3DGS) offering efficient training time and photorealistic real-time rendering.
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4 Mar 2025 1 repository listedWe employ 3D Gaussian Splatting for high-fidelity object reconstruction and leverage quadrics for precise object pose estimation.
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3 Mar 2025 1 repository listedUsing Quadrics as the object representation has the benefits of both generality and closed-form projection derivation between image and world spaces.
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19 Feb 2025 1 repository listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)Recent advancements in implicit 3D reconstruction methods, e.
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1 Jan 2025 1 repository listedOur goal is not only to reconstruct the shape of an object from a single-view image but also to decompose the shape into meaningful semantic parts.
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16 Dec 2024 1 repository listedTo fully utilize the power of Stable Diffusion models without extra inference computation burdens, we propose to generate novel views with Stable Diffusion models for better view transformation robustness.
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6 Nov 2024 1 repository listedWe present 3DGS-CD, the first 3D Gaussian Splatting (3DGS)-based method for detecting physical object rearrangements in 3D scenes.
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15 Aug 2024 1 repository listedWe aim to answer this question by proposing a novel benchmark for measuring the impact of 3D reconstruction quality on pose estimation accuracy.
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30 Jul 2024 1 repository listed Syntology ran 0 of 1 samples · 1 unverified · 1 pointer-only (licence)Modeling and capturing the 3D spatial arrangement of the human and the object is the key to perceiving 3D human-object interaction from monocular images.
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30 Jul 2024 1 repository listed Syntology ran 6 of 9 samples · 3 unverified · 9 pointer-only (licence)Learning the prior knowledge of the 3D human-object spatial relation is crucial for reconstructing human-object interaction from images and understanding how humans interact with objects in 3D space.
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22 Jun 2024 1 repository listedIt also includes a real-world subset comprising 4, 672 frames captured with a depth camera.
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21 May 2024 1 repository listedReconstructing dynamic articulated objects from a singular monocular video is challenging, requiring joint estimation of shape, motion, and camera parameters from limited views.
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25 Apr 2024 1 repository listedIn this paper, we introduce LeanGaussian, a novel approach that treats each query in deformable Transformer as one 3D Gaussian ellipsoid, breaking the pixel or point cloud correspondence constraints.
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.
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