Browse State-of-the-Art › 3D Geometry Prediction
3D Geometry Prediction
6 papers with code · 2 benchmarks · 2 datasets 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 |
|---|---|---|---|---|---|
| Molecule3D test (2 rows) | DeeperGCN-DAGNN + Distance | Molecule3D: A Benchmark for Predicting 3D Geometries from Molecular Graphs | code | — | Compare |
| Molecule3D val (2 rows) | DeeperGCN-DAGNN + Distance | Molecule3D: A Benchmark for Predicting 3D Geometries from Molecular Graphs | 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
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
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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30 Sep 2021 3 repositories listedHere, we propose to predict the ground-state 3D geometries from molecular graphs using machine learning methods.
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20 May 2024 1 repository listedIn this paper, we propose GarmentDreamer, a novel method that leverages 3D Gaussian Splatting (GS) as guidance to generate wearable, simulation-ready 3D garment meshes from text prompts.
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14 Mar 2023 1 repository listedAdvances in 3D printing of biocompatible materials make patient-specific implants increasingly popular.
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8 Sep 2022 1 repository listedUni-Mol is composed of two models with the same SE(3)-equivariant transformer architecture: a molecular pretraining model trained by 209M molecular conformations; a pocket pretraining model trained by 3M candidate…
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24 Aug 2017 1 repository listedOur contributions are fourfold: (1) To best of our knowledge, we are presenting for the first time a method to learn a 6-DOF grasping net from RGBD input; (2) We build a grasping dataset from demonstrations in virtual…
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3 Apr 2017 1 repository listedA major limitation of such approaches is that they only predict a coarse resolution voxel grid, which does not capture the surface of the objects well.
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