Browse State-of-the-Art › 3D Object Reconstruction From A Single Image
3D Object Reconstruction From A Single Image
10 papers with code · 2 benchmarks · 2 datasets archive 2025-07-28
Image: Fan et al
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
2 leaderboard tables shown for this task, 2 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 |
|---|---|---|---|---|---|
| BUFF (5 rows) | ML-PIFu (end-to-end) | PIFuHD: Multi-Level Pixel-Aligned Implicit Function for... | code | — | Compare |
| RenderPeople (4 rows) | ARCH++ | ARCH++: Animation-Ready Clothed Human Reconstruction Revisited | — | — | 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 2026-09-25.
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
No subtask under this task in the archive's task tree.
Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
10 shown of 10 papers with code (17 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 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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1 Apr 2020 3 repositories listedAlthough current approaches have demonstrated the potential in real world settings, they still fail to produce reconstructions with the level of detail often present in the input images.
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21 Apr 2022 2 repositories listedApproaches for single-view reconstruction typically rely on viewpoint annotations, silhouettes, the absence of background, multiple views of the same instance, a template shape, or symmetry.
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4 Mar 2024 1 repository listed Syntology ran 4 of 4 samples · 0 unverifiedThis technical report introduces TripoSR, a 3D reconstruction model leveraging transformer architecture for fast feed-forward 3D generation, producing 3D mesh from a single image in under 0.
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20 Oct 2020 1 repository listed Syntology ran 1 of 13 samples · 12 unverifiedDense 3D object reconstruction from a single image has recently witnessed remarkable advances, but supervising neural networks with ground-truth 3D shapes is impractical due to the laborious process of creating paired…
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5 May 2020 1 repository listedWe learn both 3D point cloud reconstruction and pose estimation networks in a self-supervised manner, making use of differentiable point cloud renderer to train with 2D supervision.
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8 Apr 2020 1 repository listedIn this paper, we propose ARCH (Animatable Reconstruction of Clothed Humans), a novel end-to-end framework for accurate reconstruction of animation-ready 3D clothed humans from a monocular image.
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17 Oct 2019 1 repository listedWe present a convolutional neural network for joint 3D shape prediction and viewpoint estimation from a single input image.
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1 Jun 2019 1 repository listedCentral to this work is a trifocal tensor loss that provides indirect self-supervision for occluded keypoint locations that are visible in other views of the object.
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13 May 2019 1 repository listedWe introduce Pixel-aligned Implicit Function (PIFu), a highly effective implicit representation that locally aligns pixels of 2D images with the global context of their corresponding 3D object.
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 2026-09-25.
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